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JefferiesNew York City, NY

2027 Risk Management Associate Program – New York

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Programme

Graduate

Location

New York City, NY

About the role

Jefferies’ full-time Risk Management Associate Program in New York offers quantitative analytics experience across market and credit risk. Associates support risk measurement, model validation, portfolio analytics, systems implementation, and AI-enabled solutions after orientation, with mentorship and structured reviews. The role suits Master’s or PhD candidates graduating December 2026–June 2027.

Program Structure

  • Complete an orientation program before beginning day-to-day Risk department responsibilities.
  • Receive ongoing instruction and mentorship from experienced colleagues throughout the program.
  • Work on projects with tangible impact while contributing ideas and value from the outset.
  • Participate in a structured review process designed to support the associate experience.

Risk Management Responsibilities

  • Support risk measurement methodologies, model validation, and risk systems and process implementation.
  • Contribute to market and credit risk oversight, ensuring consistent methodologies across the firm.
  • Review and validate valuation models, ensuring limitations are understood and appropriately incorporated.
  • Develop technology-enabled and AI-powered solutions for risk analysis, monitoring, and governance.

Department Scope

  • Identify, assess, monitor, and manage financial and non-financial risks across the firm.
  • Establish risk frameworks, policies, procedures, controls, appetite statements, and limit frameworks.
  • Monitor risk metrics and limit usage, reporting exposures and escalating breaches or concerns.
  • Perform independent reviews of risk-taking, hedging activities, exposures, and vulnerabilities.

Candidate Requirements

  • Master’s, PhD, or equivalent degree in a relevant STEM discipline, with strong academic performance.
  • Expected graduation between December 2026 and June 2027.
  • Knowledge of risk modeling, portfolio analytics, financial markets, and multiple asset classes.
  • Proficiency in Python, SQL, databases, and systems implementation.
  • Strong analytical, quantitative, written, verbal, interpersonal, multitasking, and time-management skills.
  • Ability to work independently and collaboratively under pressure and tight deadlines.