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Salary
≈ $19k – $46k per year (Estimated)
Location
In office (Pune)
Seniority
Architect · 10+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Oct 16, 2026. BNY scores B on the Alion truth index.

Overview
Company
Impact
Profile match

BNY

BNY, formerly BNY Mellon, is a global financial services company headquartered in New York City, providing custody, fund administration, clearing, corporate trust, treasury and payments services, investment management through BNY Investments, and wealth management to institutions and individuals. Founded in 1784 by Alexander Hamilton, it oversees about 62.6 trillion dollars in assets under custody and administration and has large operations in Pittsburgh, Lake Mary, Manchester, London, Dublin and Pune. Hiring spans fund administration and client service, audit, data, AI and full-stack engineering, product management and analyst and summer internship programs.

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.

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