Risk Manager

Jump Trading Jump Trading · Quant · Chicago, New York City · Operations

Risk Manager at Jump Trading, a firm focused on financial markets and research. The role involves managing moment-to-moment risk for trading teams, evaluating new strategies, and advancing the firm's internal risk layer. Responsibilities include setting exposure limits, monitoring cross-asset exposures, performing daily risk monitoring, and liaising with internal and external teams. Requires experience in risk or trading roles, hands-on experience in major asset classes, and technical skills in Python, SQL, and Excel. Not a model builder.

What you'd actually do

  1. Serve as an onsite go-to operational risk partner: set and monitor exposure limits and guardrails with front office and Global Risk; operate existing controls and alerting; investigate, escalate, and document exceptions.
  2. Monitor cross-asset exposures and key risk dynamics using firm-provided tools; collaborate with Market Risk and front office to review scenario/stress outputs, align on assumptions, and communicate practical implications.
  3. Perform daily and intraday risk monitoring to identify and escalate material exposures, concentrations, anomalies, and control exceptions across regions.
  4. Liaise with internal teams and external brokers, clearing firms, and exchanges on margin/financing, market access controls, and operational topics.
  5. Triage trade-lifecycle issues (trade capture, allocations, reconciliations, market data, connectivity) with Trading, Operations, Technology, Treasury, and Compliance; support post-trade workflow improvements.

Skills

Required

  • At least 4 years in a risk or trading role at a proprietary trading firm, multi-strategy hedge fund, asset manager, or investment bank.
  • Hands-on experience in at least one major liquid asset class (e.g., Equities, Futures, FX, Rates, or Options) with a strong desire to expand cross-asset coverage.
  • Bachelor’s degree with a strong academic record
  • Operational risk fluency across the trade lifecycle, market access controls, exchange connectivity; familiarity with prime brokerage/clearing and margin/financing is helpful.
  • Comfortable consuming outputs from risk models and measures (e.g., VaR, beta, factor exposures, stress scenarios) to interpret and communicate risk; not a model builder.
  • Python, SQL, and advanced Excel for querying, validation, ad hoc analysis, and light automation; Bloomberg or similar tools are a plus.
  • Communication and composure: crisp, credible at the desk, effective with traders and technologists, and calm under pressure.
  • Onsite presence in Chicago or New York with flexibility for occasional off-hours support; comfortable with competing priorities and frequent context-switching.
  • Reliable and predictable availability.

Nice to have

  • CFA/FRM or similar credentials are a plus.

What the JD emphasized

  • not a model builder