Metabit Technology LLC
Senior Quantitative Researcher – Intraday Equities Alpha
Singapore
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Matched against 2.3M live jobs from 200,000+ employers in 200+ countries.
Tailor my resume for this job →hirly's read of this role
- Seniority
- Senior
- Country
- SG
- Work mode
- On-site / unstated
- First seen by hirly
- 28 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
About the Role
We are seeking an exceptional quantitative researcher to lead our intraday equities alpha team. You will focus on discovering and modeling short-horizon statistical signals across large equity universes, leveraging high-frequency market data and cross-sectional relationships. This role is ideal for candidates with a strong background in signal research and a deep understanding of market microstructure.
What You'll Do
Develop and test short-term alpha signals using high-frequency (tick-level and order book) data across global equity markets.
Analyze inter-symbol dynamics, liquidity patterns, and cross-sectional dependencies to identify transient inefficiencies and arbitrage opportunities.
Conduct rigorous backtesting and performance attribution across large baskets of equities in a fully systematic environment.
Collaborate with engineering and trading teams to deploy and monitor strategies in live production.
Continuously refine signal stability, robustness, and decay profiles across changing market regimes.
What We Look For
5+ years of experience in alpha research or quantitative signal development, ideally in intraday or short-horizon equity strategies.
Deep understanding of market microstructure, order flow dynamics, and execution-related features that affect signal quality.
Strong programming skills in Python and/or C++, and fluency in working with large-scale high-frequency datasets.
Experience in cross-sectional modeling and statistical arbitrage frameworks across equities.
Advanced degree (MS/PhD) in a quantitative field such as mathematics, physics, statistics, computer science, or related disciplines.
Nice to Have
Experience with production-level alpha deployment in global equity markets (US, CN, APAC, EMEA).
Familiarity with execution-aware signal design (slippage modeling, alpha decay, trade-to-book impact).
Track record of successful signal ideas contributing to live PnL.
Summary
You'll work on short-horizon predictive modeling using high-frequency cross-sectional signals across equities. You won’t manage execution or risk, but you'll work closely with teams who do. If you're passionate about alpha and fluent in market data, this role is for you.
Similar jobs
- Senior Quantitative Researcher | Crypto Delta OneBlockTech · SingaporeFirst seen 3d ago
- Junior Quantitative Researcher | Crypto Delta OneBlockTech · SingaporeFirst seen 3d ago
- Quantitative Trading & Research - Market Microstructure & High-Frequency Quantitative Researcher - AssociateJPMorgan Chase · SingaporeFirst seen 4d ago
- Quantitative ResearcherDvtrading · SingaporeFirst seen 16d agoremote
- Quantitative ResearcherDrweng · SingaporeFirst seen 16d ago
Browse similar roles
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job