Financial Engineer

Financial Engineer

Location – Pasadena, CA, (Onsite)

The ideal candidate will bridge the gap between finance and technology, leveraging mathematical modelling, data engineering, and programming expertise to solve complex financial problems. This role involves close collaboration with portfolio managers, risk teams, and software engineers to develop models that drive trading strategies, risk measurement, and financial decision-making.

• Design, implement and test quantitative models for quantitative analytics and risk
• Validate input and outputs for analytics models against historical and computed data to ensure accuracy and robustness.
• Acquire, clean, and analyze large-scale financial datasets from multiple sources.
• Build data pipelines for real-time and batch processing of market and reference data.
• Compute and analyze single security risk metrics (duration, convexity, spreads, krds, krcs) for any deviations or enhancements
• Support fixed income analytics and structured product modelling incorporating cash flows from vendors.
• Work with traders, portfolio managers, and risk officers to interpret results and refine models.
• Liaise with software development teams to integrate models into production systems.

• Strong proficiency in Python for quantitative modelling.
• Experience with numerical methods, optimization, and Monte Carlo simulations.
• Knowledge of databases (SQL, No
  
  SQL) and cloud platforms (AWS, Azure, GCP).
• Familiarity with financial libraries (Quant Lib, Pandas, Num Py, Sci Py).
• Experience with Bloomberg, Refinitiv, Fact Set, or similar market data tools.
• Experience working with vendor platforms like Yield Book, Intex, Aladdin, etc.

• Understanding of fixed income analytics, portfolio theory, and risk management.
• Experience with Bloomberg, Refinitiv, Fact Set, or similar market data tools.
• Experience working with vendor platforms like Yield Book, Intex, Aladdin, etc.

• Strong problem-solving and analytical thinking.
• Excellent communication skills to explain complex quantitative concepts to non-technical stakeholders.
• Ability to work in a fast-paced, team-oriented environment.

• Master’s or PhD in Financial Engineering, Quantitative Finance, or related field.
• CFA, FRM, or CQF certifications are a plus.