Financial Systems Engineer: Risk Modeling & Optimization

Sun West Mortgage-Since 1980; California; On-site; USD 100,000 - 170,000; Full time

Job summary

Sun West Mortgage-Since 1980, in partnership with AngelAi, seeks Financial Analysts / Engineers to operate at the intersection of quantitative modeling, risk management, and optimization of our financial infrastructure.

The role involves owning a defined financial domain, building and deploying forward-looking models to manage risk and forecast outcomes, and driving efficiency within a heavily regulated environment.

Qualifications

• Bachelor’s degree in Finance, Accounting, Economics, or a related quantitative discipline.
• Strong command of accounting fundamentals and financial statement analysis.
• Ability to read, interpret, and translate legal/contractual documents into financial logic.
• Financial engineering mindset—optimize and tune performance.
• Curiosity and passion for understanding how financial systems operate.
• Comfort owning ambiguity in high-stakes financial structures.
• Disciplined, detail-oriented, and capable of independent leadership.

Responsibilities

• Own a defined, critical section of the company’s financial infrastructure.
• Build, stress-test, and deploy forward-looking models to manage risk and forecast outcomes.
• Continuously identify inefficiencies, risks, and optimization opportunities across financial operations.
• Translate complex financial contracts into measurable improvements and compliance logic.
• Partner with AI, Engineering, and Executive teams to surface insights and indicators.
• Proactively raise red flags and propose actionable optimization strategies.

Skills

Quant modeling

Risk management

Financial systems

Optimization

Financial analysis

Legal interpretation

Education

Bachelor’s degree in Finance, Accounting, Economics

Job description

Sun West Mortgage-Since 1980, in partnership with AngelAi, seeks Financial Analysts / Engineers to operate at the intersection of quantitative modeling, risk management, and optimization of our financial infrastructure.

The role involves owning a defined financial domain, building and deploying forward-looking models to manage risk and forecast outcomes, and driving efficiency within a heavily regulated environment.