Senior Quantitative Software Engineer - Remote

Senior Quantitative Software Engineer

Position Summary

We are seeking a Senior Quantitative Software Engineer to bridge the gap between quantitative finance and production engineering systems. This role combines deep financial securities knowledge with backend software

engineering expertise to build, optimize, and maintain the computational core of our managed account platform. The ideal candidate excels at translating complex financial models into efficient, production-grade C# code and can

diagnose performance bottlenecks through rigorous code analysis and mathematical reasoning.

Key Responsibilities

Design and implement portfolio models, tax optimization algorithms, and rebalancing logic in C# and .NET Core

Translate quantitative financial strategies into clean, efficient, and testable backend code

Diagnose and resolve complex performance issues by analyzing algorithmic complexity and code efficiency

Collaborate with engineering teams to integrate quantitative logic into production-grade microservices

Build and optimize RESTful APIs that serve financial calculations and portfolio analytics

Work with diverse data systems including SQL Server, MongoDB, DynamoDB, and other AWS data services

Conduct code reviews with a focus on correctness, efficiency, and maintainability of quantitative algorithms

Profile and optimize backend services to ensure sub-second response times for compute-intensive operations

Write clear technical documentation in Confluence to explain complex financial logic to cross-functional teams

Implement serverless and scalable solutions leveraging AWS services (Lambda, Step Functions, ECS)

Participate in Agile ceremonies and collaborate with product owners to align technical solutions with business needs

Requirements for Success

Bachelor's or Master's degree in Computer Science, Financial Engineering, Mathematics, Physics, or related quantitative field

5+ years of professional software development experience with C# and .NET Framework/Core

3+ years of experience in financial securities, portfolio management, or quantitative finance applications

4+ years working with relational databases (SQL Server preferred) and query optimization

3+ years developing cloud-native applications, preferably in AWS (Azure experience also valued)

Strong understanding of data structures, algorithms, and computational complexity analysis

Proven ability to diagnose performance issues through code profiling and optimization techniques

Experience with financial concepts such as asset allocation, rebalancing, tax-loss harvesting, or portfolio optimization

Skills We Are Looking For

Backend Engineering Expertise: C#, .NET Core, ASP.NET, microservices architecture

Quantitative Analysis: Strong applied mathematics, statistics, and financial modeling skills

Problem Diagnosis: Ability to identify bottlenecks, analyze code efficiency, and explain problems clearly

Cloud Platforms: AWS services (Lambda, ECS, API Gateway, S3, DynamoDB) or Azure equivalents

Database Proficiency: SQL Server optimization, NoSQL databases (MongoDB, DynamoDB)

API Development: RESTful web services, JSON APIs, OpenAPI specifications

Code Quality: Unit testing, integration testing, and continuous integration practices

Communication: Excellent written and verbal skills to explain complex technical concepts

Collaboration: Ability to work effectively across engineering, product, and business teams

Bonus Items

Advanced degree (MS or PhD) in a quantitative discipline

Experience with Python for quantitative analysis and prototyping

Knowledge of modern portfolio theory, risk models, or derivatives pricing

Familiarity with Docker and container orchestration

AWS certifications (Solutions Architect, Developer, or Machine Learning)

Experience with GitHub Actions, Terraform, or infrastructure-as-code

Background in high-frequency trading, market microstructure, or algorithmic trading

Contributions to open-source quantitative finance libraries

Experience with observability tools and performance monitoring (CloudWatch, DataDog, New Relic)

Understanding of regulatory requirements in wealth management (SEC, FINRA)

Why us?

Work on cutting-edge FinTech solutions that impact billions in assets under management

Collaborate with a talented team of engineers, quantitative analysts, and financial experts

Flexible, remote-friendly work environment with offices in Austin, TX and West Palm Beach, FL

Competitive compensation, benefits, and opportunities for professional growth

Make a direct impact on product architecture and quantitative strategy

Fast-paced, innovative culture that values technical excellence and continuous learning