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Skills
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Cash Flowunmatched
Chartered Financial Analyst (CFA)unmatched
Cloud Computingunmatched
Communication Skillsunmatched
Data Managementunmatched
Data Modelingunmatched
Data Setsunmatched
Financeunmatched
Financial Libraryunmatched
Financial Mathematicsunmatched
Fixed Income Investmentsunmatched
GCP (Good Clinical Practices)unmatched
Investment Managementunmatched
Mathematical Modelingunmatched
Metricsunmatched
Microsoft Windows Azureunmatched
Monte Carlo Methodunmatched
NoSQLunmatched
Problem Solving Skillsunmatched
Production Systemsunmatched
Python Programming/Scripting Languageunmatched
Quantitative Analysisunmatched
Riskunmatched
Risk Analysisunmatched
Risk Managementunmatched
SQL (Structured Query Language)unmatched
Security Analysisunmatched
Software Developmentunmatched
Software Engineeringunmatched
Team Playerunmatched
Testingunmatched
Description
Financial Engineer Location – Pasadena, CA, (Onsite)Share resumes to [email protected]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. EXPERIENCE AND REQUIRED SKILL SETS
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 singe 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.
TECHNICAL SKILLS
Strong proficiency in Python for quantitative modelling.
Experience with numerical methods, optimization, and Monte Carlo simulations.
Knowledge of databases (SQL, NoSQL) and cloud platforms (AWS, Azure, GCP).
Familiarity with financial libraries (QuantLib, Pandas, NumPy, SciPy). FINANCE KNOWLEDGE • Understanding of fixed income analytics, portfolio theory, and risk management.
Experience with Bloomberg, Refinitiv, FactSet, or similar market data tools.
Experience working with vendor platforms like Yield book, Intex, Aladdin, etc. SOFT SKILLS • 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.
FINANCE KNOWLEDGE
Understanding of fixed income analytics, portfolio theory, and risk management.
Experience with Bloomberg, Refinitiv, FactSet, or similar market data tools.
Experience working with vendor platforms like Yield book, Intex, Aladdin, etc.
SOFT SKILLS
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.
EDUCATION
Master’s or PhD in Financial Engineering, Quantitative Finance, or related field.