Research Engineer at Flow Traders

Hong Kong

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Proprietary Trading, Finance, Quantitative FinanceIndustries

Requirements

Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar
8+ years of hands-on experience in MLOps, Research Engineering, or ML Research
A strong background in mathematics and statistics
Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray
Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring
Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)
Understanding of cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)

Responsibilities

Help to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production
Partner with Quantitative Researchers to conduct research: test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals

Skills

Key technologies and capabilities for this role

PythonnumpypytorchpolarspandasrayMLOpsmachine learning pipelinesdata preprocessingmodel trainingmodel deploymentCI/CDAgileversion controlautomated testing

Questions & Answers

Common questions about this position

What is the location for this Research Engineer position?

The position is based in the Hong Kong office.

What salary or compensation does this role offer?

This information is not specified in the job description.

What are the key qualifications needed for this Senior Research Engineer role?

Candidates need an advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar, 8+ years of hands-on experience in MLOps, Research Engineering, or ML Research, strong background in mathematics and statistics, and proficiency in Python with libraries like numpy, pytorch, polars, pandas, and ray.

What is the company culture like at Flow Traders?

Flow Traders has an entrepreneurial and innovative culture that values quick-witted, creative minds and challenges them to make full use of their capacities.

What experience makes a strong candidate for this position?

Strong candidates will have demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring, plus understanding of modern software development practices (e.g., Agile, version control, automated testing, CI/CD, observability) and cloud platforms (e.g., AWS, Azure, GCP) with containerization (e.g., Docker, Kubernetes).

Flow Traders

Global liquidity provider for financial markets

About Flow Traders

Flow Traders is a global liquidity provider that focuses on Exchange Traded Products (ETPs) and is expanding into other asset classes. The company operates in major financial markets across the Americas, APAC, and EMEA regions. It utilizes a proprietary technology platform to set bid and ask prices for thousands of ETP listings and similar financial products, which helps ensure there are enough buyers and sellers in the market, facilitating easier trading for investors. Flow Traders primarily serves institutional clients, such as hedge funds and asset managers, who depend on their efficient trading services. The company earns profits by taking a small margin on a large volume of trades, capitalizing on their advanced technology and market knowledge to maintain a competitive edge. Additionally, Flow Traders is dedicated to corporate social responsibility, aiming to create shared value in economic, social, and environmental aspects.

Amsterdam, NetherlandsHeadquarters

2004Year Founded

IPOCompany Stage

Fintech, Financial ServicesIndustries

501-1,000Employees

Benefits

Medical, Vision, Dental Insurance coverage

401(k) plan with generous match

In-house lounge with a bar, game consoles, poker & billiards tables

Daily catered lunch, cold brew coffee on tap and a fully stocked kitchen

Weekly table massages and bi-weekly haircuts

Annual company trip and a variety of events throughout the year

Reimbursed gym membership or home equipment and other wellness initiatives

Global rotations between our offices worldwide

Flow Academy for continuous learning and opportunities to attend industry seminars and conferences

Risks

Rising competition from new digital asset exchanges challenges Flow Traders' market position.

Self-custodial trading platforms may reduce reliance on traditional liquidity providers.

Advanced cryptographic protocols could disrupt traditional data-sharing methods in financial markets.

Differentiation

Flow Traders specializes in Exchange Traded Products, expanding into diverse asset classes.

The company uses proprietary technology to provide liquidity in global financial markets.

Flow Traders invests in financial market innovators, enhancing transparency and efficiency.

Upsides

Growing interest in digital asset trading boosts demand for liquidity providers like Flow Traders.

Expansion into emerging technologies aligns with Flow Traders' strategic agenda.

Increased digitization in equity markets enhances market efficiency, benefiting Flow Traders.

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