Financial Engineer
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Job Location:
Pasadena, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
18 hours ago
Vacancies:
1 Vacancy
Job Summary
Financial Engineer
Location Pasadena CA (Onsite)
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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
Location Pasadena CA (Onsite)
Share resumes to emailprotected
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.
- 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.
- 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.
- 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.
- Masters or PhD in Financial Engineering Quantitative Finance or related field.
- CFA FRM or CQF certifications are a plus.
Required Experience:
Senior IC
About Company
Thanks for visiting our Career Page. GES provides a people centric approach, to deliver innovative technology solutions that offer measurable value to our clients. Our network of highly skilled talent, and integrated onsite / offsite delivery model offers our clients flexibility, scal ... View more
