Senior Quantitative Software Developer

We are seeking a highly experienced Quantitative Software Developer with a passion for FICC financial markets and Technology. Ideal candidates will have a strong background in Python programming, distributed systems, and a proven track record in quantitative software engineering within front-office or trading settings. This role demands excellence in developing, supporting, and enhancing risk management tools, trading systems, and pricing libraries.

Key Responsibilities

• Develop and enhance risk management, portfolio optimization tools, and support various trading strategies.
• Facilitate integration projects, connecting our core platform with financial vendor systems.
• Work closely with market risk and quant teams to improve pricing and risk libraries.
• Implement automated mechanisms for system robustness.
• Stay updated on quantitative finance and trading technology trends.
• Maintain system health and address production issues swiftly.
• Mentor junior engineers and promote best practices within the team.

Technical Requirements

• Bachelor's, Master's, or Ph.D. in Mathematics, Statistics, Computer Science, or Finance.
• Minimum of 6 years in quantitative software development, preferably in front-office or trading settings.
• Strong technical understanding of financial instruments and derivatives, including but not limited to IRS, TRS, CDS, Bond Futures, FRA.
• Proficient in Python programming; familiarity with asynchronous Python is a plus.
• Experience in distributed system development (2-5 years).
• Hands-on experience with vendor OMS/EMS/RMS platforms such as RiskMetrics, Bloomberg MARS, Orchestrade, Enfusion, FlexTrade, Axioma is highly valued.
• Knowledgeable in technology infrastructure, automation, and various technologies (Linux, NumPy, Pandas, SQL, Redis, Docker).
• Excellent communication skills and a team-oriented mindset.

Nice-to-Haves

• Proficiency in JVM languages (Java, Kotlin, Scala).
• Experience with Rust programming language.
• Previous roles in lean tech teams or startups.
• Trade support experience and a deep understanding of market microstructures.