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.
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 #LifeAtBNY is all about. Join us and be part of something extraordinary. About the TeamAt 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.
Skills Required
- Bachelor's degree or equivalent combination of education and experience
- Significant experience in data science, quantitative analytics, model oversight, market risk, valuation controls, or a related financial-services discipline
- Strong understanding of FX, interest rate, and credit derivatives, including pricing models 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
- Strong technical skills in Python, C++, SWIG, SQL, and data analysis
- Experience working with large and complex datasets and improving data quality, structure, and usability
- Strong analytical, problem-solving, and communication skills
- Ability to collaborate effectively across teams in a fast-paced, highly controlled environment
- Advanced degree in Data Science, Statistics, Mathematics, Quantitative Finance, Financial Engineering, Computer Science, or a related field
- 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
BNY Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BNY and has not been reviewed or approved by BNY.
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Healthcare Strength — Health coverage includes comprehensive options with a $0‑premium plan for eligible lower earners, expanded mental‑health support with personalized therapy, and strong income protection through short‑ and long‑term disability. These features have been recently enhanced and are paired with dental and vision coverage.
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Parental & Family Support — Parental leave provides 16 weeks of fully paid time for all parents, with added support such as adoption assistance. This breadth offers strong coverage for major family events.
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Retirement Support — The 401(k) program includes a company match and Roth options to support long‑term savings. Additional financial programs like tuition assistance and savings vehicles complement retirement readiness.
BNY Insights
What We Do
We help make money work for the world — managing it, moving it and keeping it safe. As a leading global financial services company at the center of the world’s financial system, we touch nearly 20% of the world’s investable assets. Today we help over 90% of Fortune 100 companies and nearly all the top 100 banks globally access the money they need. For 240 years we have partnered alongside our clients to create solutions that benefit businesses, communities and people everywhere.
