Risk Manager
A leading global trading organization is looking for a Risk Manager to support equity‑driven strategies within a highly technical, data‑intensive environment. This role focuses on overseeing risk across equity stat‑arb, delta‑one, and financing activities, while contributing to strong governance, rigorous analysis, and continual enhancement of the firm's risk infrastructure. You will partner closely with trading teams, engineering groups, and external brokers to refine controls and ensure robust oversight throughout the trade lifecycle.
Key Responsibilities
- Monitor and challenge risk exposures across equity statistical arbitrage and delta‑one trading portfolios.
- Work with regional risk leadership to assess and model exposures across various asset classes.
- Evaluate equity financing elements-including stock borrow availability, recalls, specials, and corporate action effects-and quantify their impact on risk and P&L.
- Oversee securities lending dynamics and their influence on portfolio behaviour.
- Build, maintain, and improve stress‑testing and scenario frameworks tailored to equity and financing strategies.
- Collaborate with internal functions and prime brokers to resolve risk issues tied to trading activity and lifecycle events.
- Ensure appropriate governance around corporate actions, rebalances, rolls, and other key operational events.
- Partner with risk technology teams to advance monitoring tools, automation frameworks, and controls aimed at reducing operational and market risk.
- Perform ad‑hoc analyses-including stress tests, margin work, and back‑testing-to support limit setting and senior‑level risk discussions.
Key Requirements
- Bachelor's degree in a quantitative or analytical field; a master's degree is advantageous.
- Several years of experience in equity‑related risk within delta‑one, buy‑side risk, portfolio finance, or algorithmic/proprietary trading environments.
- Strong ability to analyze complex equity portfolios and provide constructive challenge to trading and financing assumptions.
- Deep familiarity with equity financing mechanics and securities lending workflows.
- Experience conducting stress testing, scenario analysis, and margin impact assessments.
- Background collaborating with stock loan, portfolio finance, and technology teams in automated trading settings.
- Strong Python skills and confidence working with databases.
- Excellent attention to detail, communication capabilities, and analytical judgement.
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