Quantitative Analytics - Associate Senior

Become an integral part of our Quant Analytics team! Each day will be unique – bring a positive attitude, entrepreneurial spirit and get ready to roll up your sleeves. This position is an essential part of the team and will have exposure to several aspects of running a banking office.

Job Summary:

As a Quant Analytics at JPMorgan Chase within the Consumer & Community Banking- Data and Analytics, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities:

• Support & lead partnerships with key Ops stakeholders and Ops Product groups with strong understanding of business drivers, underlying data and processes
• Lead development and insights of Ops performance metrics & KPIs. Use analytical tools and quantitative methods such as trend analysis, segmentation, forecasting, optimization, and other techniques to improve business function performance.
• Analyze customer interactions and events across a variety of channels (digital, calls, branch, online, mobile) to better understand customer journeys and friction points
• Build business cases, construct test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future customer strategies
• Prepare and deliver presentations summarizing sharp insights and conclusions, often for executives, leadership teams and business partners in regularly-scheduled analytics meetings chaired by the analyst in this role
• Support the creation of automated visualizations using Tableau, Adobe Analytics, to measure the impact of implemented products and provide management with self-service tools to explore and report on current trends of key metrics
• Embrace a growth and learning mindset; proactive and creative; collaborative, team-oriented and client-focused; motivated by business and technical challenges
• Demonstrate Leadership: The ideal candidate will (at a minimum) exhibit the below leadership abilities:
  • Make smart decisions that will have an impact on both business and people. Solve business problems having highest complexity level
  • Must be self-motivated and capable of coaching the team for consistent high performance. Able to assist the manager in identifying and onboarding talent from across the industry, mentor newer team members, and identify growth opportunities for existing team members.

Required qualifications, capabilities and skills:

• Bachelors or Master's degree in a quantitative or related field. 9+ years of related experience
• Hands-on experience with standard data analytics tools and technologies ( at least three of SQL, Python, SAS, Tableau, Alteryx)
• Experience delivering analytics solutions under strict timelines quick turn-around time
• Familiarity with data mining, statistical concepts, forecasting, predictive modeling, machine learning and other advanced analytics methods
• Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency, with great presentation skills
• Comfortable making decisions under uncertainty and ambiguity, and proven ability to structure problems and develop analytical frameworks while addressing business and technical risks
• Self-motivated, goal-oriented, and able to manage and deliver in an innovation-driven and fast-paced environment
• Should have a very good understanding of IT processes and databases. Should be able to work directly with data owners/custodians and contribute in building analytics data hub
• Leadership drive, ability to analyze problems, design solutions, and communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions
• Flexibility/adaptability, ability to listen and defend or change direction based upon team and stakeholder consensus

Preferred qualifications, capabilities and skills:

• Hands-on experience writing code and automating processes to source, transform and analyze data from multiple sources including structured and unstructured data preferred
• Superior judgment to mitigate risk, and to foster an environment where risk/control issues are escalated and trends are anticipated and identified
• Acting with integrity, and protecting our company, clients and customers