Vice President, Data Scientist

BNYPune🇮🇳IndiaPosted 16 Oct 2026

Why This Role Stands Out

This Vice President, Data Scientist role offers a significant opportunity to lead impactful innovation in margin and collateral optimization within a reputable financial institution, leveraging your extensive Python and capital markets expertise. You'll thrive here if you enjoy developing advanced optimization algorithms and collaborating with diverse teams, with the added benefit of a hybrid work model for enhanced flexibility. Apply now to shape the future of financial technology and advance your career.

Quick Overview

Seniority

Leader

Employment type

Full Time

Work mode

Hybrid

Location

Pune, India

Posted

Yesterday

DockerSQLNumPyDerivativesGitKubernetesPandasPythonRESTTreasury

Job Description

We’re seeking a future team member for the role of Vice President, Data Scientist to join our AI Hub team. This role is located in Pune.

In this role, you’ll make an impact in the following ways:

* Design and develop Python-based margin and collateral optimization solutions.
* Extend rule engine for rules related to eligibility, concentration limits, and liquidity addon etc.
* Build optimization algorithms for collateral allocation, substitution, and funding cost reduction.
* Develop analytics for IM, VM, SIMM, haircuts, eligibility, concentration limits, and liquidity optimization.
* Integrate pricing, risk, and collateral platforms through APIs and distributed processing frameworks.
* Partner with Quant, Risk, and Operations teams to deliver scalable production solutions.
* Optimize application performance, automation, and cloud-native deployments.

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

* 10+ years of Python development experience in Capital Markets.
* Strong hands-on experience with Python, Pandas, NumPy, SQL, REST APIs, and Git.
* Experience with optimization libraries such as OR-Tools, Pyomo, CVXPY, PuLP, Gurobi, or CPLEX.
* Good understanding of derivatives, collateral management, repo, securities financing, and margin methodologies (SIMM, IM/VM).
* Exposure to cloud technologies, Docker/Kubernetes, and distributed processing is preferred.

Preferred Domain Experience

* Margin & Collateral Management
* Collateral Optimization
* Treasury & Liquidity Management
* Repo & Securities Lending
* OTC Derivatives (IRS, FX, Credit, Equity)
* Capital Markets Risk & Analytics

Preferred Background

Candidates from investment banks, custodian banks, CCPs, fintechs, or collateral management platforms with hands-on experience in optimization, quantitative analytics, and Capital Markets technology.