Vice President, Data Scientist
This Vice President, Data Scientist will lead the design and development of Python-based margin and collateral optimization solutions for BNY’s AI Hub in Pune. They will build rule engines, optimization algorithms, and analytics for IM, VM, SIMM, and liquidity, integrating pricing, risk, and collateral platforms via APIs and distributed processing while ensuring cloud-native performance and automation.
Skills required
About this role
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.