Remote Quantitative Modeler & Developer for Derivatives

symetraexternal; United States; Hybrid; USD 117,000 - 195,000; Full time

Benefits offered by this job

Flexible full-time or hybrid telecomm?

401(k) with company matching

Paid time off

Community matching program

Job summary

Symetra Investment Management is hiring an Associate Quantitative Modeler and Developer to build and maintain models, pricing, and risk modules used across the derivatives front office. You will deploy applications to AWS, create internal UIs and analytics in Power BI, and support investment decision processes.

The role emphasizes financial engineering, quantitative analytics and operational streamlining with a focus on accuracy and timeliness.

Qualifications

• B.S. degree in computer science, mathematics or engineering.
• 2-5 years of experience in application development using Python, C#, VBA; DBMS experience with MS SQL, MySQL or PostgreSQL; deploying apps to AWS/Azure/Google Cloud.
• 2-5 years of experience in a bank, insurance company, or asset management firm with financial market data processing.
• Roll-up-the-sleeves work ethic with the ability to meet deadlines.

Responsibilities

• Architect, test, implement and maintain applications, trading algorithms, and production processes for desktop and AWS deployment.
• Develop internal UIs, APIs and tools; use Power BI to create trading and portfolio analytics.
• Develop quantitative pricing models and risk modules; support hedging strategy and new product initiatives.

Skills

Python

C#

VBA

SQL databases

AWS/Azure/GCP

Power BI

C/C++

Education

B.S. in CS/Math/Engineering

Tools

Power BI

MS Office automation

Job description

Symetra Investment Management is hiring an Associate Quantitative Modeler and Developer to build and maintain models, pricing, and risk modules used across the derivatives front office. You will deploy applications to AWS, create internal UIs and analytics in Power BI, and support investment decision processes.

The role emphasizes financial engineering, quantitative analytics and operational streamlining with a focus on accuracy and timeliness.