Quant Data Engineer

Are you passionate about driving alpha through data infrastructure? Join our elite team where innovation meets high performance. We’re building the backbone of next-generation quantitative research—where terabytes of data power live strategies, and milliseconds matter.

This is not your typical data engineering role. You'll architect ultra-efficient systems that empower quants to push the frontier of alpha generation—at scale, in real time.

What You’ll Be Driving

• Architect high-throughput, low-latency data infrastructure optimized for quant research, live trading, and alpha discovery—handling everything from macroeconomic feeds to high-frequency tick data.
• Own the full data pipeline lifecycle—from ingest to transformation to storage—powering petabyte-scale backtests, signal research, and production strategies with precision.
• Champion data quality and resilience, deploying automated checks, anomaly detection, and lineage tracking to ensure our researchers never question the data they rely on.
• Enable ultra-fast access and retrieval layers, giving quants zero-friction access to structured datasets, time series, and custom feature stores—on demand.
• Continuously optimize for performance, scale, and cost-efficiency by integrating the latest in streaming tech, distributed computing, and cloud-native tooling.
• Act as the data-strategy partner to quant researchers, working hand-in-hand to design bespoke datasets, align on infrastructure priorities, and unlock new edge-generating capabilities.
• Stay ahead of the curve by evaluating and implementing cutting-edge tools in the open-source and fintech ecosystem—building a platform that gives us an unfair data advantage.

What You Bring

• Quant-Grade Engineering: 3–5+ years building data infrastructure in a quant, fintech, or hedge fund setting. You think in nanoseconds and terabytes.
• Technical Mastery:
• Fluent in Python and SQL; experience with performance tuning and scalable codebases.
• Hands-on with distributed systems (Hadoop, Spark, Kafka) and cloud platforms (AWS, Alibaba Cloud).
• Strong grasp of database architecture—relational, NoSQL, time-series. You know when to normalize and when to denormalize.
• Deep understanding of ETL/ELT, data modeling, and data warehousing.
• Financial Acumen: Exposure to systematic investing or quant research. You understand how data flows into alpha.
• Collaborative Spirit: You work seamlessly with quant researchers, devs, and product—translating messy needs into elegant systems.
• Bonus Points: CFA/FRM, real-time data streaming, or ML infrastructure experience.

What We’re Looking For

Academic Foundation: Degree in Computer Science, Applied Mathematics, Statistics, Data Science, or other highly quantitative field. Master’s degrees or professional certification (CFA, FRM) are a strong plus.

Industry Experience: 3–5+ years in high-impact data engineering roles within hedge funds, proprietary trading firms, or elite quant research environments. Experience in building data platforms for alpha generation or real-time trading is highly valued.

Technical Mastery:

• Expert in Python and SQL, with a deep command of data structures and algorithmic thinking.
• Hands-on experience with distributed compute frameworks like Spark, Hadoop.
• Skilled in architecting both relational and NoSQL solutions; strong knowledge of time-series databases (e.g., InfluxDB, kdb+).
• Cloud-native fluency across AWS, GCP, or Alibaba Cloud, with an infrastructure-as-code mindset.
• Strong understanding of data modelling, ETL processes, and date warehousing.

Quant/Market Savvy:

• Solid understanding of financial data structures and financial markets, from tick-level to fundamentals, and how they impact quant strategies.
• Comfortable working with researchers, and algo traders—translating signal hypotheses into scalable data architecture.

Soft Power:

• Relentlessly curious, highly autonomous, and thrives in fast-paced, performance-driven teams.
• Clear communicator with a collaborative mindset especially with researchers and cross-functional partners.
• Comfortable in a fast-paced environment where innovation is the baseline.

Why join us

• Build from the ground up – your architecture will be core to alpha discovery and portfolio performance.
• Freedom to experiment with the latest tech and shape the future of our data platform.
• Competitive compensation, startup energy, and quant-level ambition.

Ready to turn data into an edge? Apply now and make your impact where it counts.