2 дня назад
Senior Software Engineer - Analytics Front Office (C#)
200 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer - Analytics Front Office (C#): Building and operating low-latency risk analytics services that provide real-time PnL and risk monitoring for complex trading portfolios with an accent on distributed systems, asynchronous dispatch, and reliable service design. Focus on decomposing complex requirements, designing scalable analytics systems, automating testing, and supporting production services across US and UK time zones.
Location: Chicago, Greenwich, New York, Austin, or Houston, United States
Annual base salary: $200,000–$250,000, plus an annual discretionary bonus.
Company
is a diversified trading firm using proprietary capital and technology to operate across global financial markets and non-traditional strategies including real estate, venture capital, and cryptoassets.
What you will do
- Design, implement, and operate low-latency risk analytics systems.
- Build services providing real-time PnL and risk monitoring for trading desks with varying portfolio and model complexity.
- Decompose complex functional requirements into efficient, simple, and reliably changeable service designs.
- Provide on-call support through a teamwide rotation shared across US and UK time zones.
- Mentor colleagues and contribute knowledge that advances the team’s engineering capabilities.
Requirements
- Extensive experience designing and operating low-latency distributed systems at scale for critical business functions.
- Extensive experience with testing and test automation.
- Fluency in functional and object-oriented programming languages.
- Competency with Git, CI/CD platforms, Docker, and Kubernetes.
- Familiarity with more than one of C#, Java, Python, and C++.
- Familiarity with databases such as MSSQL, Postgres, and Redis, plus Kafka, RabbitMQ, or similar event-based platforms.
Nice to have
- Experience with fixed income products, interest rate derivatives, risk, PnL attribution, or scenario analysis.
- Knowledge of interest rate derivatives models such as yield curves, option pricing, or SABR.
- Background in statistics, discrete mathematics, or linear algebra.
- Previous experience in trading or finance.
Culture & Benefits
- Autonomous, collaborative environment focused on solving complex problems in time-critical systems.
- Medical, pharmacy, dental, and vision insurance.
- 401(k) with discretionary employer match.
- Short- and long-term disability, life and AD&D insurance.
- Health savings and flexible spending accounts.
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