Market Data Team Lead at BHFT

Hong Kong, Hong Kong Island, Hong Kong S.A.R. -

Full Time

Start Date

Immediate

Expiry Date

26 Apr, 26

Salary

0.0

Posted On

26 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Market Data, Streaming Systems, Columnar Storage, Distributed Compute, Python, Rust, Go, C++, Data Pipelines, Feature Store, Data Quality, Collaboration, Mentoring, Technical Leadership, Low Latency

Industry

Financial Services

Description

Company Description BHFT is a proprietary algorithmic trading firm managing the full trading lifecycle — from software development to designing and deploying trading strategies. We operate across major exchanges and a wide range of asset classes, including equities, derivatives, options, commodities, and rates, using both high-frequency (HFT) and medium-frequency (MFT) approaches. We are a 230-person company with a strong technology focus, where 70% of the team are engineers and technical specialists. As we expand into new markets and products, we foster a results-driven culture built on innovation, collaboration, and continuous improvement, supported by a globally distributed, remote-friendly team. Job Description We are building a world-class data platform to support systematic trading across 10+ global exchanges. This role will lead the Data Engineering team responsible for ingesting, processing, storing, and serving all market, reference, and alternative data with low latency and high reliability. You will also own the architecture and evolution of our Feature Store, which powers our live trading systems and research pipeline. This is a hands-on technical leadership position with significant ownership and influence over our trading technology stack. Key Responsibilities Drive end-to-end delivery of core data engineering initiatives, including market data platforms, real-time and batch pipelines, feature stores, and scalable storage and processing systems. Lead and mentor the Data Engineering team; translate business and research needs into clear roadmaps, execution plans, and engineering standards (code quality, testing, CI/CD). Own data ingestion and processing for live and historical datasets, defining SLAs, data quality metrics, monitoring, schemas, and governance. Design and operate feature generation and serving platforms, ensuring low-latency production pipelines, reproducibility, versioning, and lineage. Build and maintain data infrastructure and tooling, including collectors, ingestion services, metadata/catalog systems, and compute workflows. Collaborate closely with researchers, product and engineering teams, as well as compliance and risk, to enable fast experimentation and reliable production deployment. Qualifications 6+ years in Data Engineering, with at least 2+ years in a lead role. Prior experience in trading, HFT, systematic hedge fund, crypto exchange, or similar (very important). Profound expertise in diverse types of market data. Strong experience with streaming systems, columnar storage, and distributed compute (e.g. Kafka/Redpanda, Parquet/ORC, Spark/Flink/Ray). Proficiency in Python and at least one systems language (Rust, Go, or C++). Proven ownership of data pipelines in latency-sensitive or production-critical environments. Ability to work independently, break down ambiguous problems, and deliver clear outcomes. Strong communication skills and a leadership mindset, including mentoring, setting standards, and documenting decisions. Nice to Have Experience building or operating a Feature Store. Background supporting quant research (alphas, signals, features). Familiarity with time-series databases. Experience onboarding multiple exchanges or large-scale market datasets. Understanding of market data vendor challenges, exchange-specific nuances, entitlements, and data quality. Additional Information What we offer: Working in a modern international technology company without bureaucracy, legacy systems, or technical debt. Excellent opportunities for professional growth and self-realization. We work remotely from anywhere in the world, with a flexible schedule. We offer compensation for health insurance, sports activities, and professional training.

Responsibilities

Lead the Data Engineering team to deliver core data engineering initiatives, including market data platforms and scalable storage systems. Collaborate with various teams to enable fast experimentation and reliable production deployment.