Location: New York, NY
Compensation: Up to $275K | Full time | Hybrid
About the role:
Be part of a front office quant team driving a strategic buildout of new models for equities risk, pricing, and trading strategies. The focus is on advanced optimization, volatility surfaces, and derivative pricing — with integration into a cross-asset trading and risk platform.
Responsibilities:
● Develop and implement quantitative models for equities risk, trading strategies, and
derivative pricing
● Lead optimization-based curve construction and integrate models into production
systems
● Collaborate directly with traders, sales, and technology teams on model deployment
● Contribute to strategic platform buildout, balancing near-term delivery with long-term
innovation
● Support the desk with production model inquiries and enhancements
Qualifications:
● 7+ years in Securities Quantitative Analytics
● Hands-on coding (C++ and Java essential, Python a plus) with expertise in numerical
optimization
● Deep experience in derivative products (equities, rates, or FX)
● Strong background in volatility surfaces, rate, borrow, and dividend curves
● Proven front office quant experience partnering with Sales & Trading
● PhD (or equivalent) in a quantitative discipline preferred
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