Vice President, Data Scientist

BNY

Maharashtra

On-site

INR 2,500,000 - 5,000,000

Full time

10 days ago
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Job summary

BNY is seeking a senior quantitative analytics professional to oversee pricing models for FX, rates, and credit derivatives. You will calibrate curves and volatility, monitor P&L, assess risk, and prepare governance materials for production models.

The role requires strong Python/C++ skills, data science experience, and familiarity with MRMG and regulatory expectations. You will partner with Markets, Risk, Analytics, Technology, and Control teams to ensure robust model performance, transparency,

Qualifications

  • Bachelor’s degree or higher in a quantitative field or equivalent experience.
  • Significant experience in data science, quantitative analytics, model oversight, market risk, or valuation controls within financial services.
  • Strong understanding of FX, interest rate, and credit derivatives, including pricing model concepts and risk measures.
  • Experience with P&L monitoring, model performance assessment, valuation analysis, or risk monitoring in a markets environment.
  • Knowledge of model governance frameworks, validation processes, MRMG engagement, and regulatory expectations.

Responsibilities

  • Support oversight of pricing models and curve & volatility calibration across markets.
  • Monitor model behavior via P&L analysis, valuation review, and risk monitoring to spot issues and gaps.
  • Prepare governance materials, model documentation, and regulatory submissions for production models.
  • Collaborate with Markets, Risk, Quant Analytics, Technology, and Control functions to ensure robust model performance and governance.
  • Apply data science techniques to improve monitoring, detection, and control effectiveness.
  • Contribute to a unified semantic data layer for pricing, risk, and control data.

Skills

Python
C++
SWIG
SQL
Data analysis

Education

Bachelor’s degree or equivalent
Advanced degree in Data Science/ Mathematics/ Quant Finance

Tools

SWIG
SQL

Job description

Job Description
  • Supporting oversight of FX, interest rate, and credit derivatives pricing models and curve & volatility calibration used across the markets business.
  • Monitoring model behavior through P&L analysis, valuation review, and risk monitoring to identify issues, trends, and control gaps.
  • Preparing and supporting MRMG governance materials, model documentation, and regulatory submissions related to production models.
  • Partnering with stakeholders across Markets, Risk, Quantitative Analytics, Technology, and Control functions to ensure robust model performance and governance.
  • Applying data science and analytical techniques to improve model monitoring, exception detection, and control effectiveness.
  • Contributing to the development of a unified semantic data layer to improve consistency, transparency, and usability of pricing, risk, and control data.
  • Helping enable agentic and automated workflows that improve scalability, efficiency, and control execution.
  • Delivering clear insights and reporting that enhance decision‑making, execution quality, and operational effectiveness.
  • Identifying opportunities to strengthen controls, improve data quality, and enhance end‑to‑end production model oversight.
In this role, you’ll make an impact by:
  • Supporting oversight of FX, interest rate, and credit derivatives pricing models and curve & volatility calibration used across the markets business.
  • Monitoring model behavior through P&L analysis, valuation review, and risk monitoring to identify issues, trends, and control gaps.
  • Preparing and supporting MRMG governance materials, model documentation, and regulatory submissions related to production models.
  • Partnering with stakeholders across Markets, Risk, Quantitative Analytics, Technology, and Control functions to ensure robust model performance and governance.
  • Applying data science and analytical techniques to improve model monitoring, exception detection, and control effectiveness.
  • Contributing to the development of a unified semantic data layer to improve consistency, transparency, and usability of pricing, risk, and control data.
  • Helping enable agentic and automated workflows that improve scalability, efficiency, and control execution.
  • Delivering clear insights and reporting that enhance decision‑making, execution quality, and operational effectiveness.
  • Identifying opportunities to strengthen controls, improve data quality, and enhance end‑to‑end production model oversight.
To be successful in this role, we’re seeking the following:
  • Bachelor’s degree or equivalent combination of education and experience required; advanced degree in Data Science, Statistics, Mathematics, Quantitative Finance, Financial Engineering, Computer Science, or a related field preferred.
  • Significant experience in data science, quantitative analytics, model oversight, market risk, valuation controls, or a related discipline within financial services.
  • Strong understanding of FX, interest rate, and credit derivatives, including pricing model concepts and associated risk measures.
  • Experience with P&L monitoring, model performance assessment, valuation analysis, or risk monitoring in a markets environment.
  • Knowledge of model governance frameworks, validation processes, MRMG engagement, and regulatory expectations.
  • Strong technical skills in Python, C++, SWIG, SQL, and data analysis.
  • Experience working with large and complex datasets, with the ability to improve data quality, structure, and usability.
  • Strong analytical thinking, problem‑solving capability, and the ability to communicate complex findings clearly to technical and non‑technical stakeholders.
  • Ability to work effectively across teams in a fast‑paced, highly controlled environment.
Preferred Qualifications
  • Master’s degree or PhD in a quantitative discipline.
  • Experience supporting regulatory reviews, governance forums, or model committee processes.
  • Familiarity with semantic data models, workflow automation, anomaly detection, or machine learning techniques.
  • Exposure to strategic data initiatives within markets, risk, or controls organizations.
About Us

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, 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.

About The Team

At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom & BNY 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.

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