Amerihome Mortgage Company-posted 3 months ago
$107,395 - $132,661/Yr
Full-time
Westlake Village, CA
Credit Intermediation and Related Activities

AmeriHome Mortgage is looking for a Financial Engineer to join our Capital Market's Analytics Team. The Analytics team works closely with the firm's trading desk and is responsible for building and maintaining the firm's core financial and optimization models and providing analytical support for trading and hedging. In this role, a successful candidate can look forward to a progressive career path and continued professional growth.

  • Design, develop, and maintain advanced models to support Secondary Marketing pipeline management, including interest rate risk, mortgage pooling optimization (Conventional and Government), and margin enhancement strategies.
  • Leverage deep learning, machine learning, and optimization tools (e.g., Gurobi) to deliver predictive insights, optimize pricing, and improve operational efficiency across capital markets operations.
  • Create and maintain quantitative processes including data mining, predictive modeling, and complex data processing to support strategic decision-making.
  • Develop and oversee analytics tools and systems that enable data-driven decisions, aligning capital markets operations with broader business strategies to drive profitability and effectiveness.
  • Partner with key stakeholders, including Back Office, Lock Desk, Bulk Trading Desk, Pipeline Hedging, and FP&A to ensure analytics solutions meet diverse operational needs.
  • Communicate effectively using data and metrics to support time-sensitive decisions with clarity and precision.
  • Identify and implement automation opportunities to enhance scalability, accuracy, and efficiency across Secondary Marketing workflows.
  • 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.
  • 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.
  • Experience with statistical analysis, including the use of tools like R or Python required.
  • Experience manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
  • Competitive salaries
  • Ownership stake in the company
  • Medical and dental insurance
  • Time off
  • Great 401k matching program
  • Tuition assistance program
  • Employee volunteer program
  • Wellness program
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