1w
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Director Quant Engineer, Finance Analytics
Stamford, Connecticut, United States
$150k-$170k/yr OnsiteFull Time
10+ YOE10+ years of engineering, data engineering, analytics, or quantitative modeling in banking; experience with databases, Python/SAS/R, workflow orchestration, CECL/credit analytics, and strong communication skills.
Oracle, SQL, Python, SAS, R, Apache Airflow, Tableau, Qlik Sense
3w
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Equity Derivatives Risk Quant, Associate
New York, New York, United States
$100k-$140k/yr OnsiteFull Time
0+ YOEMaster's degree in a quantitative field, 0–3 years relevant experience, strong Python programming, familiarity with equity derivatives, VaR, volatility calibration, option pricing, stress testing, and strong analytical and communication skills.
Python, EQF platform
2mo
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Compliance Officer - Quant Trading
Old Greenwich, Connecticut, United States
OnsiteFull Time
8+ YOE8+ years experience in compliance with exposure to algorithmic/systematic trading, ability to advise portfolio managers, monitor regulatory changes, assist exams and draft policies; strong analytical, communication and project management skills; bachelor’s degree preferred.
1mo
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Portfolio Implementation Analyst
Greenwich, Connecticut, United States
$140k-$160k/yr OnsiteFull Time
0+ YOEBachelor's degree required; 0-2 years finance/quant experience; proficiency in Python, MATLAB, R, and SQL; strong quantitative, problem-solving, and communication skills.
Python, MATLAB, R, SQL
1mo
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Experienced Discretionary Macro Markets Trader
White Plains, New York, United States
$72k-$120k/yr HybridFull Time
3+ YOE3+ years of verified, risk-adjusted profitable trading; experience trading liquid macro futures; ability to manage P&L and risk; strong communication; quant skills a plus.
4d
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SVP, Head of Intelligence
Fort Lee, New Jersey, United States
$280k-$310k/yr HybridFull Time
12+ YOE5+ Mgmt12+ years across data/ML platform engineering and quantitative/decision-science orgs; 5+ years leading multi-team engineering orgs (30+); trading/quant experience required; P&L-focused product orientation; proven ML/AI platform ownership; model governance familiarity.