Quick overview
Job description
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.
Pay Range:
- Actual salary is commensurate with candidate’s relevant years of experience, skillset, education and other qualifications. Base salay USD $125,000.00 - USD $500,000.00/Yr.
Similar jobs
- VI

Staff Data ScientistRecently posted Auto Apply
Via · New York · Hybrid 🇺🇸
PythonData AnalysisTechnologySalary not listed - SK
Senior/Staff/Principal Data Scientist (HHS)Recently posted Auto Apply
Skylight · United States · Hybrid 🇺🇸
SQLETLCompliance+5TechnologySalary not listed - OP

Data Scientist, Cloud Distribution & GrowthRecently posted Auto Apply
Openai · San Francisco · Hybrid 🇺🇸
SQLBackground ChecksCompliance+2TechnologySalary not listed - AR
Head of Data Science and AutomationRecently posted Auto Apply
Alta Resource Technologies, Inc. · Boulder · Hybrid 🇺🇸
RecruitingSQLAWS+6TechnologySalary not listed - ZO

Sr. Data Scientist I Auto Apply
Zoro · Chicago · Hybrid 🇺🇸
DockerSQLAWS+12TechnologySalary not listed - WB

Working in Technology (WiT) Data Science - Summer 2027 Auto Apply
William Blair · Chicago · Hybrid 🇺🇸
SQLAWSMLOps+20TechnologySalary not listed - UD

Member of Technical Staff - Quantitative Research Auto Apply
Udio · New York City (Remote possible for exceptional candidates) · Remote 🇺🇸
GCPSpringApache+7Salary not listed - HE

Senior Manager, Data Science - Provider Growth ProductRecently posted Auto Apply
Headway · New York City · Hybrid 🇺🇸
Stakeholder ManagementSQLCustomer Success+5TechnologySalary not listed - CA
Emerging Model Development LeadRecently posted Auto Apply
Careers at KKR · Boston · Hybrid 🇺🇸
OnboardingETLFinancial Reporting+1Salary not listed - SL

Sr. Data Scientist II Auto Apply
Slickdeals · San Mateo · Hybrid 🇺🇸
SQLPythonMachine LearningTechnologySalary not listed - QV

Senior Data Scientist Auto Apply
Qventus · Remote · Remote 🇺🇸
SQLAWSNLP+8TechnologySalary not listed - QT
Quantitative Researcher Internship - 2027 [New York] Auto Apply
Quantbot Technologies · New York · Hybrid 🇺🇸
C++PythonMachine Learning+1Salary not listed