Senior Quantitative Software Developer (FICC Focused)

About Arrowpoint

Arrowpoint is an Asia-focused multi-strategy hedge fund firm headquartered in Singapore, founded by former Millennium Management Asia co-CEO Jonathan Xiong. The fund launched in July 2024 with $1 billion—making it one of the largest hedge fund launches in Asia’s history.  Backed by prominent investors including Blackstone, the Canada Pension Plan Investment Board, and Temasek Holdings, we operate with portfolio managers across Singapore and Hong Kong, integrating diverse strategies such as Equities, Fixed Income, and Commodities. As we continue to grow, we are seeking driven individuals to join our team and contribute to our mission.

Read about us here:

Bloomberg | Hedge Fund Arrowpoint Grows to $1.1 Billion After November Gain

Bloomberg | Hedge Fund Arrowpoint Lures CPPIB, Temasek Unit as Anchors

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. 

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