Company Enormous Enterprise LLC Location Mexico City, Mexico Pay DOE Posted April 29, 2026 Description 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. Apply. #J-18808-Ljbffr