Quantitative Developer - Equity Derivatives

Quantitative Developer My client is looking for a Quantitative Developer for a high-impact consulting engagement within a leading financial services firm in New York, specifically focused on the Equity Derivatives desk. This role sits at the intersection of quantitative finance, large-scale data engineering, and software architecture. You will be responsible for designing, developing, and optimizing sophisticated pricing models, risk engines, and data pipelines that power equity derivatives strategies, including vanilla options, Total Return Swaps (TRS), and exotic products. Key Responsibilities • Model Implementation: Translate complex mathematical models for equity derivatives into high-performance, production-ready code using Python or C++. • Pricing & Volatility: Build and optimize libraries for pricing exotic payoffs and maintaining volatility surface calibration tools. • Greeks & Risk Management: Develop real-time risk monitoring tools to calculate Delta, Gamma, Vega, and Vanna/Volga exposures. • Data Architecture: Design robust pipelines to ingest and normalize massive financial datasets, including equity market data (OPRA, SIP) and dividend/repo feeds. • Strategy Optimization: Collaborate with Quants and Traders to backtest delta-hedging strategies and volatility arbitrage models. • Consulting Delivery: Interface with senior stakeholders to provide technical roadmaps and deliver scalable solutions within a project-based framework. Required Technical Skills • Programming: Expert-level proficiency in Python (NumPy, Pandas, C-extensions) and C++ (Standard Library, Boost) for low-latency pricing kernels. • Data Science & Big Data: Deep experience with KDB+/q, SQL/NoSQL, Spark, or Snowflake. • Equity Modeling: Deep understanding of Black-Scholes, local volatility models, stochastic volatility (e.g., Heston), and Finite Difference methods. • Infrastructure: Experience with Docker/Kubernetes, CI/CD pipelines, and high-frequency messaging protocols like FIX, ZeroMQ, or Kafka. • Cloud: Familiarity with cloud data warehousing on AWS, Azure, or GCP. Experience & Qualifications • Experience: Minimum 5+ years as a Quant Developer or Financial Engineer, specifically within Finance Consulting or top-tier Investment Banking. • Product Knowledge: Proven track record with the full trade lifecycle of equity derivatives and corporate actions handling. • Data Mastery: Experience handling large-scale market data (Level 2/Level 3) and execution platform builds. • Education: Advanced degree (Master’s or PhD) in Mathematics, Physics, Computer Science, or Financial Engineering. • Soft Skills: Excellent communication skills to explain technical concepts to non-technical business stakeholders and traders. This role is based in New York and requires a Hybrid working model with 4 days onsite at the client offices. Eden Smith is an equal opportunities employer and does not discriminate on any grounds.