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Quantitative Risk Manager

Jump Trading LLC is a proprietary trading firm headquatered in Chicago, IL.

(more about Jump Trading)

Quantitative Risk Manager

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. 

Jump Trading established its dedication to the China market with the launch of our Shanghai office in late 2017 with the ambition of building an independently operational office. Due to this ambition, we are growing our competencies in Trading, Technology and Operations. We bring together the best of two worlds; A start-up environment powered by Global Jump Trading dedication and resources.

As a Quantitative Risk Manager with a focus on Market Risk, you will be part of our Global Risk Management team. The department operates closely with trading and technology teams to manage the inherent risks in Jump's trading strategies across various exchanges. We are looking for someone who can bring risk management experience in addition to a critical, quantitative, and proactive hands-on approach. This role requires both the nimbleness to quickly attack new business needs as well as the thoughtfulness to organize and deploy data, compute, visualization, and decision-making workflows at scale.

The team is looking for someone who is passionate about markets, is comfortable in operating in the intersection between technology and finance, demonstrates intellectual curiosity, and is comfortable challenging the status quo with both humility and clear communication. If you have an interest in deepening your understanding of financial markets while working at a global, multi-asset, and multi-horizon trading firm, talk to us!

What You'll Do:

  • Work closely with key stakeholders across our global business (e.g. trading teams, technology, treasury, clearing, business development, compliance).
  • Identify, measure, monitor, and mitigate known and potential risks to the firm.
  • Be able to understand complex trades, identify key risks, and use technical capabilities on a daily basis to drive both tactical and strategic global risk
  • Coordinate and drive risk projects in Asia in conjunction with the Business development team, with a focus on Chinese markets
  • Be a connector across regions
  • Other duties as assigned or needed

Skills You’ll Need:

  • At least 5-10 years of institutional risk management and/or trading experience at a multi-asset proprietary trading firm, multi-strategy/manager hedge fund, asset manager, or investment bank.
  • Strong programming experience in Python along with common packages such as Pandas, Numpy, and Scipy required
  • Practical experience in working with data (whether daily or intraday)
  • Direct experience in working with at least one financial asset class, preferably equities / equity derivatives
  • Self-directed and able to take ownership of projects and responsibilities
  • Great written and verbal communication skills, and comfort with communicating with a large spectrum of stakeholders, including traders, technical staff and external parties – good at ELI5
  • Experience in having to learn something substantial from scratch while on the job
  • Knowledge of written Chinese / spoken Mandarin to communicate with key regional stakeholders
  • Reliable and predictable availability 

Bonus Points:

  • Direct experience in building and / or maintaining multifactor risk models
  • Experience in development within a distributed Linux environment
  • Experience working with options
  • Experience building tools and reporting for risk and trading management
  • Sound judgment and strong analytical skills, with a proactive and practical approach to risk

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