Quant Data Engineer - Bukit Merah
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 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.
- 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.