Jobs

Interviews
Job Alerts
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Jobs

Interviews

Home
>
Jobs in pune/pimpri-chinchwad area
>
BNY
>
Senior Associate, Data Management & Quantitative Analysis

Senior Associate, Data Management & Quantitative Analysis

BNY

0 years

0 Lacs

pune/pimpri-chinchwad area

Posted:3 days ago| Platform:

Apply

Skills Required

data management analysis cutting ai technology power finance macro strategy library model research trading development engineering documentation versioning test code prototype forecasting drift automate checks frequency sql server python oracle etl orchestration ml combination compensation support

Work Mode

On-site

Job Type

Full Time

Job Description

Senior Associate, Data Management & Quantitative Analysis

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what is all about. Join us and be part of something extraordinary.We’re seeking a future team member for the role of

Senior Associate, Data Management & Quantitative Analysis

to join our BNY Institute – BNY’s macro strategy insights platform team. This role is located in Pune, MH – HYBRID.In this role, you’ll make an impact in the following ways:

Generation of the shared data toolkit comprises of BNY’s proprietary iFlow indicators and Investment & Wealth Management (IWM) forecasts. Help own the health and evolution of our Shared Data Toolkit—a modular data library that ingests, pre-processes, and delivers clean time-series data and model components to research, trading, and client-facing teams.
Toolkit Development & Maintenance-
Extend core utilities for data cleansing, feature engineering, and model integration.
Enforce documentation, versioning, and unit-test standards across the toolkit.
Refactor legacy code into reusable, production-ready modules.
R&D Collaboration
Partner with quants to onboard new macro, market-microstructure, and behavioral datasets.
Prototype and benchmark forecasting models; monitor drift and align output with research intent.
Conduct code reviews and coach analysts on best practices.
Data Governance-
Automate quality-checks and anomaly alerts for high-frequency updates.
Coordinate with Data Ops to ensure secure, traceable data lineage.

To be successful in this role, we’re seeking the following:

Technical skills required: SQL / SQL Server, Python, Oracle , ETL orchestration – experience with AI/ML a plus
High school/secondary school or the equivalent combination of education and experience is required;

At BNY, our culture speaks for itself, check out the latest BNY news at:BNY NewsroomBNY LinkedIn

Here’s a Few Of Our Recent Awards

America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune 2025
“Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits And Rewards

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

More Jobs at BNY

Senior Associate, Fund/Client Accounting

Pune

Experience: Not specified

INR 1 - 5 Lacs

Associate, Trustee & Depositary II

Pune

2 - 9 yrs

INR 3 - 7 Lacs

Senior Vice President, Tax Reporting & Compliance Manager

Pune, Maharashtra, India

15 - 15 yrs

Salary: Not disclosed

Vice President, Anti Money Laundering/Prevention

Pune

6 - 11 yrs

INR 20 - 25 Lacs

Senior Associate, Full-Stack Engineer

Pune

2 - 6 yrs

INR 18 - 25 Lacs

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now

BNY

Financial Services

Pittsburgh

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Senior Associate, Data Management & Quantitative Analysis