Quantitative Analyst (Electronic Market Making & Rates) - VP

Citi; Paris; Sur place; EUR 150 000 - 205 000; Plein temps

Résumé du poste

Citi is seeking an experienced Quantitative Analyst to join our Markets division in Paris. You will partner with traders, technologists, and structurers to drive the next generation of electronic market-making solutions, delivering models and analytics that influence trading performance and business strategy.

You will design pricing, hedging, and predictive models, applying advanced quantitative techniques to real-world market challenges in fixed income.

Qualifications

• Extensive experience in quantitative research, trading, or analytics for electronic market-making.
• Proven track record deploying quantitative models in trading environments.
• Strong expertise in machine learning, statistics, and quantitative analytics.
• Advanced programming skills with Python; familiarity with time-series databases and market data tech.

Responsabilités

• Research, develop, and enhance electronic market-making models including bid-offer optimization and automated pricing.
• Leverage ML, statistics, and quantitative methods to create predictive analytics and risk management tools.
• Build scalable analytical tools and production-ready models using Python, KDB/Q, Rust, and Java.
• Collaborate with traders, tech teams, and risk/compliance to embed governance and controls.

Connaissances

Quantitative modelling

Machine learning

Python

KDB/Q

Rust

Java

Fixed income

Time-series analysis

Formation

Master's or PhD in a quantitative discipline

Outils

Python

KDB/Q

Rust

Java

Description du poste

Shape the Future of Electronic Trading

We are seeking an experienced Quantitative Analyst to join our Markets business, partnering closely with traders, technologists, and structurers to drive the next generation of electronic market-making solutions. This is an exciting opportunity to work at the intersection of quantitative research, machine learning, software engineering, and fixed income markets, delivering models and analytics that directly influence trading performance and business strategy.

As a key member of the team, you will design and develop sophisticated pricing, prediction, and hedging models while contributing to the evolution of our electronic trading platform. You will operate in a highly collaborative environment, applying advanced quantitative techniques to real-world market challenges and helping shape the future direction of our rates franchise.

What You’ll Do

• Research, develop, and enhance electronic market-making models, including:
  • Bid-offer optimization models
  • Price prediction and signal-generation frameworks
  • Automated pricing and execution algorithms
  • Hedging and risk-management solutions
• Leverage advanced quantitative techniques spanning:
  • Machine learning and artificial intelligence
  • Statistics and probability
  • Mathematical finance
  • Optimization and predictive analytics
• Build scalable, high-performance analytical tools and production-ready models using technologies such as Python, KDB/Q, Rust, and Java.
• Work with large-scale market data sets and contribute to data engineering and infrastructure initiatives that support quantitative research and trading.
• Partner closely with Traders, Structurers, and Technology teams to translate quantitative insights into commercially impactful solutions.
• Contribute to strategic decision-making by identifying opportunities to improve trading efficiency, execution quality, and risk management.
• Influence the development of new methodologies, processes, and workflows across the broader quantitative and electronic trading ecosystem.
• Provide subject matter expertise and quantitative guidance to business stakeholders and technology partners.
• Collaborate with Risk, Compliance, Legal, Audit, and Finance teams to ensure robust governance frameworks and controls are embedded within solutions.
• Champion a culture of innovation, accountability, responsible risk-taking, and operational excellence.

What We’re Looking For

Essential Experience & Skills

• Extensive prior experience in quantitative research, quantitative trading, algorithmic trading, or a comparable analytics role.
• Proven track record developing and deploying quantitative models in electronic trading or market-making environments.
• Strong expertise in:
  • Machine learning
  • Statistics and probability
  • Quantitative modelling and predictive analytics
• Advanced programming skills, with Python being essential.
• Experience with time-series databases and market data technologies, particularly KDB/Q.
• Exposure to data engineering concepts and large-scale market data environments.
• Solid understanding of fixed income markets, with specific knowledge of Rates products.
• Excellent analytical and problem-solving capabilities, with the ability to balance attention to detail and broader commercial objectives.
• Strong communication and stakeholder management skills, with the ability to explain complex quantitative concepts to both technical and non-technical audiences.

Preferred Qualifications

• Experience with lower-level programming languages such as Rust or Java.
• Advanced degree (Master’s or PhD) in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science, Engineering, or a related field.
• Experience working in highly regulated financial markets environments.

Why Join Us?

• Work on mission-critical quantitative and electronic trading initiatives with direct business impact.
• Collaborate with leading traders, technologists, and quantitative professionals across global markets.
• Apply cutting-edge machine learning and quantitative techniques to large-scale, real-time trading challenges.
• Influence strategic initiatives while developing innovative solutions that shape the future of electronic market making.
• Join a high-performance team that values intellectual curiosity, collaboration, innovation, and continuous learning.

Risk & Conduct

All employees are expected to uphold the highest standards of integrity, governance, and risk management. This includes adherence to applicable laws, regulations, policies, and Citi’s Code of Conduct, while ensuring sound judgment, effective controls, and transparent management of risk in all business activities.

Job Family Group:

Institutional Trading

Job Family:

Quantitative Analysis

Time Type:

Full time

Primary Location Full Time Salary Range:

€150,000.00 - €205,000.00

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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