Vice President, First Line Exposure Optimization

BNY Mellon; New York (NY); On-site; USD 140,000 - 230,000; Full time

Job summary

BNY Mellon is seeking a Vice President for First Line Exposure Optimization in New York, NY. You will perform quantitative risk analyses across Securities Finance and Prime Services, develop risk methodologies, and monitor counterparty and liquidity risk with stakeholders.

You will lead efforts to automate analytics, expand risk frameworks, and coordinate with Trading, Credit Risk and Margin teams to optimize risk-adjusted returns and balance sheet deployment.

Qualifications

• Bachelor's degree in a quantitative discipline or equivalent required.
• Experience with risk analytics, stress testing, scenario analysis, back-testing and/or quantitative model development preferred.
• Strong technical skills in Python, SQL and Excel are essential.

Responsibilities

• Perform quantitative analysis of counterparty and portfolio risk across Securities Finance and Prime Services, including stress testing, scenario and sensitivity analysis, concentration risk and liquidity risk.
• Develop, back-test and document risk methodologies such as margin, haircut, stress, concentration and exposure frameworks.
• Identify emerging risks and analyze large datasets to detect exposures, collateral deterioration and counterparty risk profile changes.
• Build automated risk analytics, dashboards and monitoring tools for intraday and end-of-day transparency.

Skills

Quantitative analysis

Stress testing

Scenario analysis

Exposure attribution

Python

SQL

Excel

Data analysis

Communication

Risk concepts

Education

Bachelor's degree in quantitative discipline

Tools

Bloomberg Terminal

SQL databases

Job description

We're seeking a future team member for the role of Vice President, First Line Exposure Optimizationto join our First Line Risk team in Markets. This role is located in New York, NY.

In this role, you'll make an impact in the following ways:

• Perform quantitative analysis of counterparty and portfolio risk across the Securities Finance and Prime Services businesses, including stress testing, scenario and sensitivity analysis, concentration risk, exposure attribution and liquidity risk

• Develop, enhance, document, and back-test risk methodologies, including margin, haircut, stress, concentration and exposure frameworks, using historical and forward-looking market scenarios

• Analyze large and complex datasets to identify emerging risks, crowded exposures, wrong-way risk, collateral deterioration and changes in counterparty risk profiles

• Build and enhance automated risk analytics, dashboards and exception-monitoring tools to improve intraday and end-of-day transparency

• Identify counterparty risks and lead escalation of material exposures, limit breaches and portfolio vulnerabilities to senior management

• Monitor counterparty, market, collateral and liquidity exposures; lead the timely escalation and resolution of material limit breaches, margin shortfalls, portfolio vulnerabilities with senior stakeholders

• Partner with Trading, Sales, Credit Risk, and Margin teams to evaluate new prospects and changes to client terms from a risk/reward perspective

• Evaluate risk-adjusted returns and financial resource consumption to help optimize deployment of balance sheet, capital and risk capacity

• Help expand the various house margin and haircut methodologies built in coordination with 2nd Line and Margin Department

• Improve the non-Standard collateral limit framework within the principal business and help source the collateral at right margins to minimize risk.

• Drive continuous improvement and automation of risk processes within the Securities Finance space, including identification of opportunities to leverage AI and advanced analytics.

• Lead portfolio reviews and management reporting that clearly communicate key exposures, trends, breaches, emerging risks and recommended actions to senior management and relevant governance forums.

• Coordinate counterparty stress events and default-management "fire drills," including scenario design, exposure assessment, action tracking and post-event lessons learned.

The successful candidate will demonstrate/possess:

• Experience in In-Business Market Risk, Credit Risk, Prime Finance Risk, Repo Risk or other client/trading desk facing risk function

• Strong understanding of market risk, counterparty credit risk, collateral risk, leverage and liquidity risk within financing businesses

• Bachelor's degree of a quantitative discipline (Finance, Math, Science/Engineering or Quantitative Finance) or equivalent

• Strong quantitative background with demonstrated ability to analyze large and complex financial datasets

• Hands‑on experience with risk analytics, stress testing, scenario analysis, back‑testing and/or quantitative model development

• Strong technical skills in Python, SQL and/or similar analytical tools

• Advanced Excel skills and experience working with market and position‑level datasets; familiarity with Bloomberg or similar market‑data platforms preferred

• Ability to understand and challenge quantitative methodologies, model assumptions and risk parameters

• Strong written and verbal communication skills, with the ability to explain complex quantitative concepts into clear conclusions and recommendations for senior management

• Strong commercial judgment and ability to balance risk management objectives with business considerations.

• Ability to operate effectively in fast‑moving markets, prioritize competing issues and make sound risk judgments with incomplete information.

• 6 years of total work experience (preferred)