AmeriHome Mortgage-posted 4 days ago
Full-time • Mid Level
Westlake Village, CA

As a Financial Engineer you’ll be part of the Capital Market's Analytics team that focuses on building, maintaining, and enhancing advanced models and analytics tools to support Secondary Marketing MSR position. You and your team will work closely with the firm’s trading desk and servicing team, and you’ll be responsible for building and maintaining the firm’s core financial models and providing analytical support for trading and hedging. Create, maintain and deliver quantitative processes including data mining, predictive modeling and other complex data processing. Utilize complex quantitative software to manage the MSR/Early Buyout (EBO) portfolio and servicing positions, risk analysis, hedge strategies and market data. Maintain, enhance existing financial models including prepayment, mortgage rate, delinquency, etc. and develop new models/algorithms when needed. Create, maintain, deliver monthly and quarterly analytical reports including valuation, risk, stress testing and model update. Identify and implement automation opportunities to enhance scalability, accuracy, and efficiency

  • Building, maintaining, and enhancing advanced models and analytics tools to support Secondary Marketing MSR position
  • Work closely with the firm’s trading desk and servicing team
  • Building and maintaining the firm’s core financial models and providing analytical support for trading and hedging
  • Create, maintain and deliver quantitative processes including data mining, predictive modeling and other complex data processing
  • Utilize complex quantitative software to manage the MSR/Early Buyout (EBO) portfolio and servicing positions, risk analysis, hedge strategies and market data
  • Maintain, enhance existing financial models including prepayment, mortgage rate, delinquency, etc. and develop new models/algorithms when needed
  • Create, maintain, deliver monthly and quarterly analytical reports including valuation, risk, stress testing and model update
  • Identify and implement automation opportunities to enhance scalability, accuracy, and efficiency
  • Requires either (i) an advanced degree in Quantitative Finance, Computer Science, Engineering, or some other technically rigorous curriculum or (ii) 2+ years of work experience in quantitative finance
  • Experience with statistical analysis, including the use of tools like R or Python required
  • Previous support of trading desks or knowledge of fixed income trading, mortgage banking or correspondent lending, a plus
  • A strong background in SQL Server, Excel and Excel VBA, a plus
  • competitive salaries
  • an ownership stake in the company
  • medical and dental insurance
  • time off
  • a great 401k matching program
  • tuition assistance program
  • an employee volunteer program
  • a wellness program
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