Junior Quantitative Developer
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
Investment Team | Singapore
We are seeking a junior quant developer to join our multi-strategy hedge fund team. The role is ideal for those who aspire to learn systematic trading platform in a high performing hedge fund environment.
You will be responsible for the development and enhancement of the full workflow of a cross-asset investment platform. You will collaborate closely with PMs and tech teams to ensure the robustness and reliability of the systems that drive our trading performance.
Your work will involve developing data infrastructure, cross asset trading platform, optimizing algos and processes, and collaborating with a high-performing tech team. You may also be involved in developing backtesting tools and analytics.
Key Responsibilities
Developing and maintaining historical and live data infrastructure.
Collaborating with tech team to maintain system connection, stability and performance.
Developing and optimizing algorithms for cross asset securities and derivatives pricing, risk management, and trading analytics and reports.
Developing and optimizing of live trading platforms.
Requirements
2 – 5 years of experience in a large technology firm.
Experience in some or all of below areas – creating, storing, maintaining big data, alternative datasets, web-scraping, optimization, Machine Learning models.
Professional experience in Python development.
Proficiency in AWS cloud services
Familiarity with APIs
Experience, knowledge or interest on FICC markets and products, pricing and risk management is a plus
Strong problem-solving abilities in high-pressure, fast-paced environments
Computer science, statistics, physics, maths PhD or high performing masters/bachelors in an established university.
Nice-to-Haves
Experience with alternative datasets
Comfortable with large datasets and live data streaming.
Enthusiastic about finance and trading.
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