Northern Trust

Consultant Data, Analytics

Northern Trust
Bengaluru/Bangalore
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 5 yearsMin. 5 years

Job Description

Consultant Data, Analytics

About Northern Trust


As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions.


Since 1889, we have aligned our efforts with our three guiding Principles That Endure: Service, Expertise, and Integrity. Together, they reflect the three cornerstones of business conduct which we strive to instill in our employees, whom we call partners, and to provide to our clients and the communities we serve worldwide.


With more than 135 years of financial experience and over 24,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.



  • Consultant Data Analytics– Asset Management

    Position Overview

    Northern Trust Asset Management (NTAM) is a global investment management firm with over a trillion dollars in assets under management, trusted by investors worldwide to help them navigate changing market environments and achieve their long-term goals.

    As part of our ongoing commitment to operational excellence and data-driven decision-making, we are seeking an experienced and highly skilled Consultant Data Analytics to join our Asset Management team. The ideal candidate will possess deep expertise in data science, artificial intelligence/machine learning (AI/ML), and a strong understanding of investment management processes.

    Key Responsibilities

  • Develop, implement, and maintain advanced analytics solutions using data analytics and AI/ML techniques to support portfolio management, investment operations, distribution and risk assessment.
  • Collaborate with investment professionals to identify analytical opportunities, translate business requirements into solutions, and communicate insights to stakeholders.
  • Analyze large and complex financial datasets to extract actionable insights and drive evidence-based recommendations.
  • Build, validate, and optimize predictive models for driving growth, risk management, and operational efficiency.
  • Shepard the AI/ML models through various validation and governance committees.
  • Stay abreast of the latest trends in AI/ML, data engineering, and investment analytics, and proactively recommend innovative approaches to enhance the firm's analytical capabilities.
  • Partner with IT and Data Engineering teams to ensure robust data pipelines, data integrity, and scalable analytics infrastructure.
  • Present complex analytical findings in a clear, concise, and compelling manner to both technical and non-technical audiences, including senior management.
  • Mentor and guide junior analytics team members, fostering a culture of innovation, collaboration, and continuous learning.
  • Qualifications & Experience

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Finance, or a closely related field
  • 5+ years of hands-on experience applying advanced data science and AI/ML techniques within asset management or investment management environments.
  • Strong understanding of portfolio management, asset allocation, and risk assessment practices, with a proven ability to translate investment concepts into analytical models.
  • Proficiency in programming languages and analytics tools such as Python, R, SQL, and modern machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Hands on skills on platforms such as Azure, Snowflake, Databricks and Power BI
  • Experience working with large, complex financial datasets and leveraging data engineering best practices to ensure data quality and scalability.
  • Up-to-date knowledge of emerging trends and technologies in AI/ML, data engineering, and investment analytics.
  • Excellent communication skills, with the ability to present technical findings to both technical and non-technical stakeholders, including senior management.
  • Leadership experience mentoring analytics professionals and fostering a collaborative, innovative team environment.

Working with Us


As a Northern Trust partner, you will be part of a flexible and collaborative work culture, which has a strong history of financial strength and stability. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to an inclusive workplace and assisting the communities we serve.


Philanthropy is deeply rooted in Northern Trust’s history and is an essential element of our culture. Employees around the world give their time and talent to work for the greater good of their communities.


Reasonable Accommodation


Northern Trust is committed to working with and providing adjustments to individuals with health conditions and disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com, or alternatively you can discuss your individual requirements with the recruiter you are working with.



About Our Bangalore Office


The Northern Trust Bangalore office, established in 2005, is home to over 5,600 employees.  In this stunning office space, we offer fantastic amenities which include our Arrival Hub - Jungle, the GameZone, and the Employee Experience Zone that appeal to both clients and employees. Learn more.



Experience Level

Senior Level

Job role

Work location
Work locationBangalore, India
Department
DepartmentData Science & Analytics
Role / Category
Role / CategoryDBA / Data warehousing
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 5 years

About company

Name
NameNorthern Trust
Job posted by Northern Trust

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