Senior Quantitative Software Developer (FICC Focused)

About this role

Core Tech Team | Singapore 

We're seeking a highly experienced Quantitative Software Developer with a passion for the 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.

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.