Senior Quantitative Software Developer
Full time
at Menrva Consulting
in
Singapore
Posted on April 12, 2024
Job details
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.
- 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.
- 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.
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