Quantitative Developer

Singapore

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, Capital MarketsIndustries

Requirements

Candidates must thrive in a fast-paced, demanding startup environment and be able to bear immense responsibility for high-stakes, large-scale production infrastructure. High proficiency in machine learning, particularly deep learning architectures, is required, along with strong Python skills and proficiency in PyTorch and Polars. Experience with SQL-like databases such as Postgres and ClickHouse, and Cython in a performance-sensitive environment are considered a plus, as is some knowledge of financial markets and instruments.

Responsibilities

The Quantitative Developer will participate in the design and implementation of trading infrastructure from scratch, collaborating with stakeholders to define technical requirements and architectural decisions. Responsibilities include writing clean, well-documented code with test coverage, participating in code reviews, assisting with troubleshooting and debugging production issues, and being on-call rotationally. The role also involves helping establish engineering best practices, mentoring junior team members, and taking ownership of projects from design to deployment.

Skills

Python

Cython

PyTorch

Polars

Postgres

ClickHouse

SQL

Deep Learning

Machine Learning

Trading Infrastructure

Code Reviews

Testing

On-call

Mentoring

Production Debugging

Software Engineering

AlphaGrep Securities

Quantitative trading and market-making firm

About AlphaGrep Securities

AlphaGrep specializes in quantitative trading and investment by developing and executing algorithmic trading strategies. The firm uses advanced mathematical and statistical methods to analyze large amounts of financial market data, allowing it to identify and take advantage of small inefficiencies in the market. AlphaGrep operates on over 30 exchanges worldwide, trading across all asset classes and is recognized as a leading global market maker, ranking high in trading volume on various exchanges. Unlike many competitors, AlphaGrep focuses on creating value through innovation rather than imitation, constantly seeking new opportunities in the financial markets. The company's goal is to provide liquidity and efficient market-making services to a diverse range of clients, including institutional investors, while generating revenue through its proprietary trading strategies.

None, Hong KongHeadquarters

2010Year Founded

M_AND_ACompany Stage

Quantitative Finance, Financial ServicesIndustries

201-500Employees

Benefits

Wellness Program

Gym Membership

Paid Vacation

Risks

New algorithmic trading firms increase competition, threatening AlphaGrep's market share.

Regulatory scrutiny on high-frequency trading may raise AlphaGrep's operational costs.

Cyber-attacks on financial institutions could lead to data breaches for AlphaGrep.

Differentiation

AlphaGrep specializes in algorithmic trading across over 30 global exchanges.

The firm uses advanced mathematical techniques to exploit market inefficiencies.

AlphaGrep focuses on innovation, not imitation, in financial market exploration.

Upsides

AI-driven trading strategies enhance AlphaGrep's algorithmic capabilities.

DeFi platforms offer new opportunities for AlphaGrep in liquidity provision and arbitrage.

5G advancements accelerate AlphaGrep's ultra-low latency trading infrastructure.

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