Metabit · 1 month ago
Senior Quantitative Researcher – Intraday Equities Alpha
New York, NY
Full-time
Onsite
Senior Level
$125K/yr - $500K/yr
5+ years expMetabit is seeking an exceptional quantitative researcher to lead their intraday equities alpha team. The role focuses on discovering and modeling short-horizon statistical signals using high-frequency market data, with responsibilities including developing and testing alpha signals and collaborating with engineering and trading teams.
Financial Services
Responsibilities
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
Qualification
Required
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
Preferred
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
Company
Metabit
We are dedicated to merging the precision of mathematics with the innovation of computer science, leveraging advanced artificial intelligence (AI) and machine learning (ML) to drive investment decisions and strategy development.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase