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Quant Developer - Trading Analytics - Equity Derivatives TechCiti • New York, New York, United States
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Quant Developer - Trading Analytics - Equity Derivatives Tech

Citi
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Apply Now

About

Quant Developer – Trading Analytics – Equity Derivatives Tech Job Req Id:
26956256
Location(s):
London, England, United Kingdom
Job Type:
Hybrid
Posted:
May. 04, 2026
Job Overview Engineer the future of global finance. At Citi, our Tech team does more than just support finance – we help redefine it.
Quant Developer – Trading Analytics – Equity Derivatives Tech
positions focus on building data‑driven, model‑led trading analytics and desk tooling for Sales, Trading, and Quant teams, supporting pricing, signal generation, backtesting, risk analysis, and real‑time market insight.
The role collaborates closely with high‑calibre engineers and business partners to design and deliver production‑grade tools for the front office, covering Derivatives Flow, Delta 1, and Exotics desks.
Team Citi’s Equities Technology organisation is investing in front‑office quantitative development to support the Derivatives Flow, Delta 1, and Exotics desks.
Role Overview
You will design and deliver production‑grade tools for traders, quants, and structurers.
Build trading analytics and desk tools for the Derivatives Flow, Delta 1, and Exotics businesses, and productionise models and analytical workflows.
Build real‑time pricing, risk, and market data analytics to support positions, Greeks, P&L, exposures, and execution monitoring.
Develop backtesting and simulation frameworks for equity derivatives and structured products.
Create data pipelines and services for market data, trade data, and derived analytics.
Deliver tools for trade idea generation, volatility analysis, flow analysis, basket/index analytics, and hedging support.
Improve the desk technology stack through reusable libraries, APIs, and robust engineering practices.
Optimise performance, scalability, and reliability of quantitative applications.
Skills required
Python data engineering stack: Pandas, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray.
Experience with high‑performance data stores and query engines like Trino or Snowflake.
Understanding of Equities, Options, and Futures.
Experience with AI‑native solutions and context engineering techniques.
A degree in quantitative subjects such as Engineering, Applied Mathematics, Physics, or Software Engineering.
Skills desired
Experience with real‑time streaming analytics tech such as Kafka or Flink.
Experience with cloud container technologies, e.g., AWS, Azure, GCP, Docker, or Kubernetes.
What we’ll provide you
27 days annual leave (plus bank holidays).
Discretionary annual performance‑related bonus.
Private Medical Care & Life Insurance.
Employee Assistance Program.
Pension Plan.
Paid Parental Leave.Special discounts for employees, family, and friends.
Access to learning and developmentresources.
This job description provides a high‑level review of the types of work performed. Other job‑related duties may be assigned as required.
Equal Opportunity Statement Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity, review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.
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  • New York, New York, United States

Languages

  • English
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