Quantitative Developer - Singapore

Arrowpoint; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Arrowpoint is seeking a quant developer to join our cross-asset trading team in Singapore. You will build and enhance data infrastructure, live trading platforms, and analytics that underpin our multi-strategy investment platform, collaborating with PMs and tech teams to ensure robustness and reliability.

You will develop historical and live data pipelines, optimize cross-asset pricing and risk analytics, and contribute to backtesting tools, with 2–5 years of fintech experience and Python

Qualifications

• 2–5 years of experience in financial technology support, preferably hedge fund or investment bank
• Hands-on experience with at least two of FlexTrade, Tradeweb, Markitwire, Orchestrade, TS Imagine, or Trading Technologies
• Professional experience in Python development
• Proficiency in AWS cloud services
• Familiarity with APIs
• Experience or knowledge 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

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 live trading platforms.

Skills

Python development

Strong problem solving

Education

CS/Math/Physics/Statistics PhD or high performing MSc/BSc

Tools

FlexTrade

Tradeweb

Markitwire

Orchestrade

TS Imagine

Trading Technologies

APIs

AWS

Job description

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.

We are seeking a quant developer to join our multi-strategy hedge fund team. 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 financial technology support, preferably in a hedge fund or investment bank environment.
• Hands-on experience with at least two of the following systems: FlexTrade, Tradeweb, Markitwire, Orchestrade, TS Imagine, or Trading Technologies.
• Professional experience in Python development.
• Proficiency in AWS cloud services
• Familiarity with APIs
• Experience or knowledge 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.