Senior Specialist, Risk Modeling
BNY Mellon · Pune · onsite · Posted 24d ago
Undisclosed4–6 yrsfulltimeSourced from
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About this role
Job Summary
Primary Responsibilities
Education/Qualifications
Experience
Skills
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
The Senior Specialist, Risk Modeling is an individual contributor role within the Risk Regulatory Compliance job function, aligned to Enterprise Risk Management. The role is responsible for developing, enhancing, and maintaining quantitative risk models and analytics that support the firms enterprisewide risk framework, including capital, liquidity, credit, market, operational, and strategic risk assessments, as applicable. The role contributes to independent risk measurement, stress testing, and scenario analysis that inform senior management decisionmaking and support regulatory and internal risk governance requirements. The incumbent applies advanced quantitative techniques to design and implement robust, welldocumented models, ensuring that model assumptions, methodologies, data, and outputs adhere to BNYs model risk standards and Enterprise Risk Management policies. The role supports the BNY strategic pillars by enabling stronger riskaware growth and operational resilience through highquality, transparent risk metrics, and supports BNYs principles by demonstrating accountability, good judgement, and client focus in the development and communication of risk analyses. The Senior Specialist, Risk Modeling collaborates with partners across Enterprise Risk Management, Model Risk Management, Finance, lines of business, and Engineering to ensure models are conceptually sound, implemented effectively, and continuously improved over time. The role emphasizes clear documentation, reproducible analytics, and the ability to articulate complex quantitative concepts in a concise and accessible way to risk, business, and control stakeholders.
Primary Responsibilities
- Develops and enhances quantitative risk models and analytical tools (e.g., for capital, liquidity, credit, market, or enterprisewide risk measures) by applying advanced statistical, econometric, and mathematical techniques and ensuring alignment with Enterprise Risk Management frameworks and risk policies.
- Performs rigorous model performance monitoring, sensitivity analysis, and backtesting by designing and executing quantitative tests, analyzing outcomes, and recommending model refinements to maintain accuracy, stability, and regulatory compliance.
- Prepares highquality model documentation, including model design, data sources, assumptions, limitations, and test results, by following established model governance and Enterprise Risk Management standards to support internal approvals, audits, and regulatory reviews.
- Contributes to enterprise stress testing and scenario analysis by translating macroeconomic and risk scenarios into model inputs, running simulations, and synthesizing results into clear risk insights for senior risk leaders and business partners.
- Partners with Model Risk Management, business, Finance, and Engineering teams by gathering requirements, explaining model methodologies and limitations, and responding to challenge and feedback to promote transparent, wellunderstood risk measures across the firm.
- Identifies opportunities to automate and industrialize recurring analytics and reporting by leveraging programming languages and data tools to build efficient, scalable processes that improve timeliness, control, and consistency of risk information.
Education/Qualifications
- Bachelors degree in a quantitative discipline such as mathematics, statistics, econometrics, engineering, physics, computer science, finance, or related field required.
- Advanced degree (Masters or PhD) in a quantitative discipline preferred.
- Strong background in quantitative methods, numerical analysis, and statistical or econometric modeling.
- Proficiency in one or more programming languages or analytical tools (e.g., Python, R, SAS, MATLAB, or similar) and experience working with large datasets preferred.
Experience
- Typically 4-6 years of experience
Skills
- Strong quantitative modeling and analytical skills, including experience with statistical/econometric techniques, validation concepts, and performance measurement for risk models.
- Proficiency in programming and data manipulation, with the ability to design, implement, and automate robust, reproducible quantitative analyses.
- Effective communication and documentation skills, with the ability to clearly explain model design, assumptions, limitations, and results to both technical and nontechnical stakeholders.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
MatlabEnterprise Risk Managementrisk modelingEconometricsAnalyticsSASPythonoperationsComputer ScienceStress Testing
About BNY

BNY Mellon
Financial Services
14.0k+
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1784
242 years old
New York City, New York
United States (USA)
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