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Business Analytics Lead<h4>Job Description Summary</h4>We are looking for an experienced Business Intelligence Lead to join our International Digital Transformation team. This role will focus on designing and delivering advanced BI solutions that enable data-driven decision-making across zones and functions. The ideal candidate will have strong expertise in data visualization and analytics, with hands-on experience in leading BI platforms (Power BI preferred), and a passion for creating intuitive dashboards that simplify complex business processes.<h4>Job Description</h4>Key Responsibilities:<ul><li>BI Solution Development: Design, build, and maintain interactive dashboards and reports using leading BI tools (Power BI preferred).</li><li>Data Modeling &amp; Calculations: Develop robust data models and write advanced calculations (e.g., DAX or equivalent) to support complex business logic.</li><li>Data Preparation: Use ETL capabilities (e.g., Power Query, dataflows, or similar) to clean, transform, and integrate data from multiple sources.</li><li>Requirements Gathering: Collaborate with business stakeholders to understand needs and translate them into scalable BI solutions that improve visibility and reduce manual effort.</li><li>Performance &amp; Governance: Ensure dashboards are optimized for performance, adhere to governance standards, and are easy to maintain.</li><li>Continuous Improvement: Stay updated on BI best practices and new features; proactively recommend enhancements to improve user experience and data reliability.</li></ul><div>Qualifications:<ul><li>Education: Bachelor’s degree in Computer Science, Data Analytics, Business, or related field. Certifications in BI tools or data visualization are a plus.</li><li>Experience:<ul><li>Minimum 5+ years of experience in BI development and analytics.</li><li>Expertise in at least one leading BI platform (Power BI, Tableau, Qlik, etc.).</li><li>Strong skills in data modeling, advanced calculations (DAX or equivalent), and ETL processes.</li></ul></li><li>Key Attributes:<ul><li>Strong analytical and problem-solving skills.</li><li>Ability to design user-friendly dashboards aligned with business priorities.</li><li>Collaborative mindset and excellent communication skills.</li></ul></li></ul>Preferred:<ul><li>Experience with Power BI Premium features (Fabric, deployment pipelines)</li></ul>Inclusion and DiversityGE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.We expect all employees to live and breathe our behaviours: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you would expect from an organization with global strength and scale, and you will be surrounded by career opportunities in a culture that fosters care, collaboration and support.</div><h4>Additional Information</h4><div><div><div><div><div><div><div>Relocation Assistance Provided: No</div></div></div></div></div></div></div>

GE Healthcare Private Limited

Business Analyst

Senior Data Engineer<h4>Job Description Summary</h4>Responsible for developing, testing and implementing data engineering solutions to generate analytical and reporting solutions. Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities when needed. Design and build automations and incorporate low code-no code solutions to accelerate development cycle time.<h4>Job Description</h4>Roles and ResponsibilitiesIn this role, you will:- Design and build automations and incorporate low code-no code solutions to accelerate development cycle time. - Leverage technical data dictionaries and business glossaries to analyze the datasets. - Perform data profiling and data analysis for any source systems and the target data repositories. - Understand metadata and the underlying data structures needed to standardize the data load processes. - Develop data mapping specifications based on the results of data analysis and functional requirements - Perform a variety of data loads &amp; data transformations using multiple tools and technologies. - Build automated Extract, Transform &amp; Load (ETL) jobs based on data mapping specifications. - Validate the data mapping results and match with the expected results. - Leverage/Implement Data Quality (DQ) rules provided.Education Qualification:Bachelor's Degree in computer science or equivalent with minimum 5+ years of hands on experience.Desired Characteristics Technical Expertise: - Ability to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management &amp; data lineage techniques.- Hands-on experience in AWS services specially Redshift, Glue, RDS, Step Functions, S3, Sage maker, Kinesis. - Hands-on experience in programming languages like Python. Unix - Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL. - Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models. - Experience with data warehousing, Big Data. NRT - Kafka. - Exposure to unstructured datasets and ability to handle XML, JSON file formats - Exposure to Extract, Transform &amp; Load (ETL) tools like Matillion Or Informatica.-Exposure or experience in Databricks.- Experience using 'Low code, No code' tools like Microsoft/Github co-pilot. Domain Expertise: - Exposure to handling enterprise ERP and CRM data. - Knowledge of for industrial applications in a commercial/finance/manufacturing settings. - Exposure to finance and accounting data domains. Leadership skills: - Partner with other team members to understand the project objectives and resolve technical issues. - Communicate project status or challenges in a clear and concise manner to the cross team members.- Ability to drive technical solutions to meet business outcomes.<h4>Additional Information</h4><div><div><div><div><div><div><div>Relocation Assistance Provided: No</div></div></div></div></div></div></div>

Data Engineer

Sr. Manager - Data Integrity<h4>Responsibilities</h4>1.Develop and enforce data governance policies and procedures. Define data ownership and stewardship roles within the organization. Ensure compliance with data privacy laws and regulations.2.Oversee the entire data lifecycle from creation to disposal. Ensure data is properly archived and disposed of according to policies. Maintain data documentation and metadata3.Proactively promote the use of data for decision-making and strategic planning. Provide guidance on data usage and best practices. Support data analytics and reporting initiatives.4.Establish and monitor data quality metrics. Identify and resolve data quality issues. Implement data validation and cleansing processes.5.Be the primary point of contact for data-related issues. Collaborate with IT, business analysts, and compliance teams to align data management practices with business objectives. Communicate data governance policies and procedures to stakeholders.6.Provide training and guidance to employees on data governance principles, policies, and procedures. Raise awareness of data management best practices and their importance to business operations. Foster a culture of improved data integrity, collaboration, and continuous improvement.7.Stay updated on industry trends and best practices in data management. Continuously improve data governance frameworks and processes. Evaluate and implement new data management tools and technologies, while ensuring they are effectively integrated.8.Promote the use of data for decision-making and strategic planning. Provide guidance on data usage and best practices. Support data analytics and reporting initiatives.9.Ensure data is protected against unauthorized access and breaches. Implement data security measures and controls. Ensure regular data security audits and assessments.<h4>Qualifications</h4>A Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field. A master's degree or relevant certifications (e.g., CDMP) are highly desirable.1.At least 17+ years of experience in data management, data governance, or a related field. Proven experience in leading data governance initiatives and managing cross-functional teams.2.Proficiency in data governance tools and technologies, data quality management, metadata management, and data privacy regulations. Familiarity with data architecture and data modeling techniques. Ability to apply governance policies, standards, and procedures.3.Experience in coal mining is highly beneficial. Understanding of mining-specific data requirements and challenges4.Deep understanding of data sources, formats, and structures. Proficiency in data manipulation and transformation5.Skills in data quality assessment and improvement techniques. Experience with data profiling, cleansing, validation, and enrichment. Proficiency in using data cataloging tools and metadata repositories.6.Strong domain understanding of the organization's business processes and objectives. Ability to align data management activities with business needs.7.Strong analytical and problem-solving skills to address complex data issues and develop effective governance strategies8.Excellent leadership and project management skills. Ability to influence and collaborate with stakeholders at all levels of the organization.9.in-depth understanding of data privacy laws and standards (e.g., GDPR, DMBoK, DPDP, etc.) and their implications for data governance.10.Excellent communication skills to convey complex insights to non-technical stakeholders.11.Experience in driving organizational change and fostering a data-driven culture12.Ability to work effectively and independently in a fast-paced agile environment with tight deadlines13.A flexible, pragmatic and collaborative team player with innate ability to engage with stakeholders at all levels in the organization.

adani capital pvt ltd

Senior Data Processing Officer

Market Analytics Specialist<h4>Job Description Summary</h4>As a Market Analytics Specialist, you will play a pivotal role in driving the International Region’s market size reporting and forecasting processes across zones and headquarters. You’ll deliver (hands-on) quarterly market size and share reporting and assist in market forecast (MF) exercises for Region HQ. Your experience in data analytics, expertise with Advanced MS Excel and Power BI will be crucial in crunching large swaths of data and churn readily actionable insights for Leadership. You will be part of Region HQ Market team and assistin Short-Near-Long Term market forecast exercises. Additionally, you will perform win-loss analyses, competitor share analysis and present actionable insights. This role demands a proactive and collaborative individual with strong analytical skills and the ability to own + consistently deliver high quality work with minimal supervision. GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.<h4>Job Description</h4>Roles and Responsibilities:<ul><li>Own (hands-on execution) of quarterly market share reporting (MPR) process including COCIR, for the region by liaising with zone marketing &amp; commercial finance, external agencies (eg: COCIR, JIRA).</li><li>Own (hands-on execution) the market forecasting (MF) process centrally for International region. Prepare datasets using 3rd party macro-economic data, Market Size data etc. and run ML models. Experience with Python, Adv Excel/R is key.</li><li>Crunch data stored in large datasets (Excel, OAS, Smartsheets) and churn out reports, insights.</li><li>Conduct ad-hoc analysis on competitive share, win rate, visibility, and share metrics. Analyse Salesforce.com (SFDC) CRM, Market data and other sources to build comprehensive data sets for competitor share and market visibility.</li><li>Partner with Analytics Lead to build new / enhance existing views on Power BI dashboard (Ecosystem). Hands-on experience of Power BI is a must while good knowledge of Salesforce.com (SFDC), Tableau, Oracle Analytics System (OAS) is a plus.</li><li>Assist executive leadership by updating Smartsheets and PowerBI dashboards during Monthly Operating Reviews (MOR) and Region Operating Reviews (ROR) with Region CEO.</li><li>Update Key Performance Indicators (KPIs) related to Market (Size, Share% etc.) on Smartsheets. • Constantly identify opportunities to enhance collaboration, save time, reduce costs, and eliminate redundant steps.  </li></ul>Required Qualifications:<ul><li>Bachelor’s degree in Computer Science, STEM, Economics, Information Technology, Data Science, or a related field.</li><li>An MBA (Finance/Marketing) OR Master’s Degree in Computer Science, Data Science, is added advantage.</li><li>2-5 years of experience in Marketing/Finance/Commercial/Pricing/Consulting domains • Proficiency in/Exposure to Analytical tools: Power BI, Python, Salesforce (SFDC), R, Advance Excel</li><li>Experience working in a matrix organization and with senior leaders (CXOs/Sr. Director)</li><li>Excellent analytical and problem-solving skills. • Strong communication and collaboration skills. • Ability to work independently and as part of a team.  </li></ul>Desired Experience (advantage):<ul><li>Experience crunching reports in Advanced MS Excel and presenting strategic insights using Power BI/ Tableau/Spotfire to senior leadership is a must.</li><li>Experience in Python/R-Studio for Forecasting is great advantage.</li><li>High energy and ability to work in a high impact / visibility project (demonstrate)</li><li>High “Say : Do” ratio, level of ownership (demonstrate)</li><li>Demonstrate proactiveness and a go-getter attitude to identify problems with minimal supervision and propose solutions</li></ul>What We Offer:<ul><li>Opportunities for professional development and career growth</li><li>Flexible working hours and hybrid work options</li><li>Coaching and mentoring by senior industry leaders across domains</li><li>This role might include International Travel up to 5% of time</li></ul>Inclusion and DiversityGE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.Disclaimer: GE HealthCare will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide employment with GE HealthCare.#LI-ML1#LI-Onsite<h4>Additional Information</h4><div><div><div><div><div><div><div>Relocation Assistance Provided: No</div></div></div></div></div></div></div>

Market Analyst

Principal Consultant- Data Science & GenAI•	Bachelor’s degree in computer engineering or equivalent
•	10--12 years of experience in Data Science, AI, ML and Gen AI area using any programming or scripting languages.
•	Strong communication and collaboration skills.
•	Proficiency in Python development or any other language used for Data Science or AI ML.
•	Excellent analytical and problem-solving skills.
•	Explore and evaluate new technologies and tools to improve our development processes.
•	Contribute to the full software development lifecycle, from design and implementation to testing and deployment.
•	Experience with cloud platforms like AWS, Azure, or GCP. 
•	 Hands-on Generative AI based solution implementation •	Generative AI solution customization, enhancement and implementation using Infosys and Industry standard tools and platforms
•	Built MCP and Agentic based solutions using various frameworks.
•	Employ Prompt engineering techniques to evaluate model behavior under various input conditions and refining prompts for better accuracy and desired results.
•	Testing of AI applications using tools and capturing standard and custom metrics 
•	Stay up-to-date with the latest advancements in Generative AI and testing methodologies. 
•	Work closely with cross-functional teams to ensure prompts align with company objectives and user experience.
•	Identify and report bugs, performance bottlenecks, and safety issues.

Infosys

Senior Consultant

Data Engineer We are looking for immediate joiners who are open to working in a hybrid modelExperience - 6-8 years with MS Fabric experience Share your updated resume now.

Accion labs india pvt ltd

Lead Data ScientistPOSITION / TITLE: Data Science LeadLocation: Offshore - Hyderabad/Bangalore/PuneWho are we looking for?Looking for individuals with 6+ years of experience implementing and managing Data science projects . Working knowledge of Machine and Deep learning based client projects, MVPs, and POCs. Should have expert level experience with machine learning frameworks like scikit-learn, tensorflow, keras and deeplearning architectures like RNNs and LSTM. Should have worked with cognitive services from major cloud platforms like AWS (Textract, Comprehend) or Azure cognitive services etc. and have a working knowledge of SQL and no-SQL databases and microservices. Should be adapt at Python Scripting. Experience on NLP and Text Analytics is preferredResponsibilities:Technical Skills - Must have: <ul><li>Knowledge of Natural Language Processing(NLP)techniques and frameworks like Spacy, NLTK, etc. and good knowledge of Text Analytics</li><li>Should have strong understanding &amp; hands on experience with machine learning frameworks like scikit-learn, tensorflow, keras and deep learning architectures like RNNs and LSTM , BERT</li><li>Should have worked with cognitive services from major cloud platforms like AWS and have a working knowledge of SQL and no-SQL databases.</li><li>Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles</li><li>Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization</li><li>Strong understanding of evaluation and monitoring metrics for machine learning projects</li><li>Strong understanding of containerization using docker and Kubernetes to get the models into production</li><li>Ability to Translate complex machine learning problem statements into specific deliverables and requirements</li><li>Adept at Python Scripting</li></ul>Technical Skills - Good to have: <ul><li>Knowledge of distributed computing frameworks and cloud ML frameworks including AWS.</li><li>Experience in natural language processing, computer vision, or deep learning.</li><li>Certifications or courses in data science, analytics, or related fields.</li><li>Should exhibit diligence and meticulousness in working with data</li></ul>OTHER SKILLS WE'D APPRECIATE<ul><li>4+ years of experience in the Data Science and Machine Learning techniques</li><li>Proven track record of getting ML models into production</li><li>Hands-on experience with writing ML models with Python.</li><li>Prior experience in ML platforms and tools such as Dataiku, DataBricks, etc. would be a plus</li></ul>Education Qualification:    <ul><li>Bachelor's degree in Computer Science, Information Technology, or related field (Master's degree preferred).</li></ul>Process Skills: <ul><li>General SDLC processes</li><li>Understanding of utilizing Agile and Scrum software development methodologies</li><li>Skill in gathering and documenting user requirements and writing technical specifications.</li></ul>Behavioral Skills:<ul><li>Good Attitude and Quick learner.</li><li>Well-developed design, analytical &amp; problem-solving skills</li><li>Strong oral and written communication skills</li><li>Excellent team player, able to work with virtual teams.</li><li>Self-motivated and capable of working independently with minimal management supervision.</li></ul>Certification:<ul><li>Having Machine Learning or AI certifications would be an added advantage.</li></ul>

Mphasis Ltd

Data Scientist

Application DeveloperProject Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 
As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are aligned with business objectives. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by leveraging your expertise in application development.
 
Roles &amp; Responsibilities: 
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing sessions to enhance team capabilities.
- Monitor project progress and ensure timely delivery of application features.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.
- Strong understanding of data integration and ETL processes.
- Experience with cloud-based data solutions and architectures.
- Familiarity with programming languages such as Python or Scala.
- Ability to work with data visualization tools to present insights effectively.
 
Additional Information: 
- The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform.
- This position is based in Hyderabad.
- A 15 years full time education is required.

Accenture India Private Limited

Data ScientistPOSITION / TITLE: Data Science LeadLocation: Offshore- Pune/Bangalore/HyderabadWho are we looking for?Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques. The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.Responsibilities:<ul><li>Lead data science and machine learning projects, contributing to model development, optimization and evaluation. </li><li>Perform data cleaning, feature engineering, and exploratory data analysis. </li><li>Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.</li><li>Collaborate with other DS and engineers to deliver projects.</li></ul>Technical Skills - Must have: <ul><li>Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.</li><li>Proficiency with Python for data analysis, supervised &amp; unsupervised learning ML tasks.</li><li>Ability to translate complex machine learning problem statements into specific deliverables and requirements.</li><li>Should have worked with major cloud platforms such as AWS, Azure or GCP.</li><li>Working knowledge of SQL and no-SQL databases.</li><li>Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.</li><li>Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.</li><li>Strong understanding of evaluation and monitoring metrics for machine learning projects.</li></ul>Technical Skills - Good to have: <ul><li>Track record of getting ML models into production</li><li>Experience building chatbots.</li><li>Experience with closed and open source LLMs.</li><li>Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen�</li><li>Certifications or courses in data science.</li></ul>Education:    <ul><li>Master's/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field. </li></ul>Process Skills: <ul><li>Understanding of?Agile and Scrum?methodologies. </li><li>Ability to follow SDLC processes and contribute to technical documentation. </li></ul>Behavioral Skills:<ul><li>Self-motivated and capable of working independently with minimal management supervision.</li><li>Well-developed design, analytical &amp; problem-solving skills</li><li>Excellent communication and interpersonal skills. </li><li>Excellent team player, able to work with virtual teams in several time zones.</li></ul>

Module LeadJob DescriptionWho are we looking for?Looking for ____________ Data Engineer_ ______________. As a Data Engineer you will have to deal with User Engagement Data, building data pipelines from ingestion to consumption..Technical Skills:  Primary skills are o Expertise in Scala/Python Programmingo Extensive experience on Sparko Expertise in SQL Extensive experience on Kafka Extensive experience of development on AWS Experience building and maintaining data processing and machine learning pipelines. More depth in Software Engineering/ coding experience  Analyze large &amp; complex data system Familiarity with basic concept like CI/CD Advanced Systems design and architecture Proficient in the SDLC in an agile environment Experience with source code and knowledge repositories such as git, jira, or equivalent system

Card Data Owner LeadWe have an exciting opportunity for you to lead data-driven product development and enhance the Chase customer experience.As a Card Data Owner at JPMorgan Chase within the Data Analytics team, you will play a crucial role in accelerating product development and driving business growth through data. You will ensure data quality and protection while collaborating with key stakeholders to deliver innovative solutions.Job Responsibilities<ul><li>Create plans for product data development and delivery to support strategic business objectives and analytics.</li><li>Provide subject matter expertise on data content and usage within the business.</li><li>Identify and document critical data scope, ensuring proper classification and metadata.</li><li>Support analytics projects by identifying data for integration into analytics platforms.</li><li>Document and coordinate resources for data quality requirements.</li><li>Resolve data issues promptly and influence resources for timely resolution.</li><li>Develop processes to identify, monitor, and mitigate data risks, including protection and quality.</li><li>Manage compliance with Firmwide policies and standards related to data integrity and protection.</li><li>Build strong relationships with data delivery partners and consumers across various functions.</li><li>Manage execution of milestones, mitigating risks and inefficiencies in the product development lifecycle.</li><li>Track and manage workstreams and KPIs to ensure successful deliveries.</li></ul>Required Qualifications, Capabilities, and Skills<ul><li>Minimum 6 years of industry experience in a data-related field.</li><li>Experience managing delivery across multiple workstreams with varying timelines.</li><li>Technical knowledge of data management, engineering, pipelines, modeling, architecture, and governance.</li><li>Knowledge of cloud platforms like AWS, Google, or Azure, and/or experience with big data technologies like Hadoop, Spark, Alteryx, Snowflake.</li><li>Ability to manage delivery timelines and ensure organizational goals are met.</li><li>Proven ability to execute via internal partnerships.</li><li>Structured thinker with good business acumen and effective communication skills.</li><li>Understanding of Agile technological development methodology.</li><li>Bachelor's degree required</li></ul>Preferred Qualifications, Capabilities, and Skills<ul><li>Subject matter expertise in business or product data; Credit Card domain knowledge is a plus.</li><li>Master's degree preferred.</li></ul>

JP Morgan Services India Pvt Ltd

Credit Card Operations

Data Scientist LeadJob Description: This role, part of the Digital Intelligence team, offers opportunity in the financial services industry by developing impactful Machine Learning solutionsAs a Data Scientist Lead within the team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will have opportunity to research, experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant business impact. You will also design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to promote and optimize business results.  Job responsibilities<ul><li>Design, deploy and manage prompt-based models on LLMs for various NLP tasks in the financial services domain</li><li>Conduct research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.</li><li>Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization</li><li>Communicate effectively with both technical and non-technical stakeholders</li><li>Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.</li><li>Develop and maintain tools and framework for prompt-based model training, evaluation and optimization</li><li>Analyze and interpret data to evaluate model performance to identify areas of improvement</li></ul>Required qualifications, capabilities, and skills<ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>Experience with prompt design and implementation or chatbot application</li><li>Strong programming skills in Python with experience in PyTorch or TensorFlow</li><li>Experience building data pipelines for both structured and unstructured data processing.</li><li>Experience in developing APIs and integrating NLP or LLM models into software applications</li><li>Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.</li><li>Excellent problem-solving and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner</li><li>Basic knowledge of deployment processes, including experience with GIT and version control systems</li><li>Familiarity with LLM orchestration and agentic AI libraries</li><li>Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment</li></ul>Preferred qualifications, capabilities, and skills<ul><li>Familiarity with model fine-tuning techniques such as DPO and RLHF.</li><li>Knowledge of Java, Spark</li><li>Knowledge of financial products and services including trading, investment and risk management</li></ul>

Quant Analytics Manager - Commerce PaymentsJoin us for an exciting opportunity to shape the future of Commerce Payments with data-driven insights and leadership.As a Quant Analytics Manager in the Commerce Payments Data &amp; Analytics team, you will leverage advanced analytics to inform product development, optimize features, and guide strategic decisions. You will collaborate with stakeholders to deliver actionable insights, foster innovation, and drive continuous improvement across our products.Job responsibilities<ul><li>Define and monitor key performance indicators for product verticals, analyzing user behavior and product performance to identify growth opportunities</li><li>Conduct deep-dive analyses and design, implement, and evaluate A/B tests to optimize product features and user experience</li><li>Build and maintain dashboards and reports to communicate product performance, presenting findings and recommendations to senior leadership</li><li>Collaborate with cross-functional teams to inform product development and go-to-market strategies, serving as the analytics subject matter expert</li><li>Ensure data integrity and consistency across analytics platforms, working with data engineering teams to improve data collection and infrastructure</li><li>Monitor industry trends and competitor performance to inform product strategy and benchmark metrics against industry standards</li><li>Use data-driven storytelling to showcase product value and support strategic growth initiatives</li></ul>Required qualifications, capabilities, and skills<ul><li>Bachelor’s degree in statistics, economics, mathematics, or engineering with significant quantitative research and data analysis</li><li>Five years of team management experience, including managing team members at different levels</li><li>Twelve years of experience with excellent SQL, Python, Alteryx, and Tableau skills</li><li>Strong critical and analytical thinking with attention to detail</li><li>Capable of defining metrics, evaluating results, and drawing business insights</li><li>Excellent written and verbal communication skills</li><li>Able to multi-task and prioritize, with strong organizational and problem-solving skills</li></ul>Preferred qualifications, capabilities, and skills<ul><li>Experience partnering with merchants and internal teams to drive strategic growth</li><li>Familiarity with modern analytics platforms and data visualization tools</li><li>Experience in benchmarking metrics against industry standards</li></ul>

Analyst

CCB Risk Model Delivery: Sr AssociateThis individual will be a key contributor in all aspects of the MDAS(Model Delivery as a Service) and must be willing to work in agile project framework.  One of the key cornerstones of MDAS personnel is the ability to adapt and quickly learn the business needs throughout the entire modeling implementation process. The incumbent would lead all quality assurance and testing effort that the team works on and must be able to provide guidance to junior team members. The incumbent must ensure that the documentation and archiving of all relevant artifacts of the validation done is maintained in an orderly manner for audit purpose.Responsibilities:<ul><li>Import, clean, transform and validate data from multiple sources and systems (Teradata, Oracle, Cloud DB) in preparation for analytics and/or modeling</li><li>Have an understanding of Python, PySpark and Hadoop with a willingness to become an expert in Big Data and Machine Learning processes.</li><li>Leverage a variety of analytical and statistical applications (SAS, SQL, Python, PySpark, JAVA, Scala) to describe, analyze, and validate trends in large complex data sets. </li><li>Build and develop Proof-of-Concept machine learning outlier detection systems to run in Cloud Platform using Python/PySpark or JAVA/Scala. </li><li>Oversee and validate production processes as they are being developed and implemented.</li></ul> Qualifications<ul><li>6+  years of experience doing hands-on data analysis.</li><li>Technical expertise regarding data models, data analysis, and segmentation techniques</li><li>Self-sufficiency in querying and extracting data from Cloud based open source platforms like Data Bricks and Snowflake .</li><li>Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy</li><li>Ability to present fact-based recommendations in a clear, logical, and concise way; “tell a story” with data</li><li>Superior written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions</li><li>BS in Mathematics, Economics, Computer Science, Information Management, Statistics, Engineering or related quantitative discipline preferred</li></ul>Must be proactive, results driven and have a proven track record of execution

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