Senior Risk Researcher

About the Role

As Senior Risk Researcher, you will be instrumental in enhancing Opendoor's pricing and risk management frameworks through the application of sophisticated mathematical and computational techniques. The ideal candidate should possess a background in operations research and financial engineering with some knowledge of convex optimization, optimal control, and python programming. If you have a passion for applying quantitative finance to real-world problems, we would love to hear from you.

Role Responsibilities:

• Develop, document, and implement models for pricing and risk analysis in the real estate market, focusing on optimizing bid/ask spreads to manage the trade off between income and inventory risk over time
• Apply expertise in stochastic processes and time series methods to model housing market volume and price processes to account for seasonality, drift, volatilities, and correlations
• Utilize knowledge of convex optimization / stochastic optimal control to improve our pricing strategies while effectively managing inventory risks
• Collaborate with cross-functional teams to integrate these models into our pricing, risk management, and finance systems, ensuring they align with our business objectives and market dynamics
• Stay abreast of the latest research and methodologies and continually refine and advance our risk management strategies

Skills Needed:

• PhD in Mathematical Finance, Operations Research, or a related field, with knowledge of stochastic processes, convex optimization, and optimal control
• Proven experience in developing Python-based algorithms for complex financial models
• Strong understanding of real estate markets, transaction volumes, market liquidity, home price dynamics, and inventory risk
• Ability to translate theoretical models into practical, actionable strategies
• Excellent problem-solving skills and the ability to work in a fast-paced, evolving environment

Bonus Points if:

• CFA Designation
• GARP FRM Accreditation
• Professional experience with CVXPy

Location:

Remote roles in the US are available in all states EXCEPT Hawaii, Alaska, Montana, or any US Territories. 

Compensation:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The pay range for most locations in the US is $176,800 - $297,600 annually. In the SF Bay Area of California, Seattle, and New York City Metro area the base salary range is $220,800 - $331,200. Pay within the range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. We also offer a comprehensive package of benefits including paid time off, 12 paid holidays per year, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.

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