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Citi

Quantitative Analyst -Cash Equity Algorithmic Trading - Director

London
Posted 1 day ago
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Senior Quantitative Analyst - Cash Equity Algorithmic Trading

We are seeking a strategic Senior Quantitative Analyst to develop and scale our cash equity algorithmic trading electronic execution platform. In this role, you will leverage cutting-edge AI technologies and mathematical methods to research EMEA equity market microstructure and drive platform innovation. If you thrive on complex quantitative deliverables and want to shape our directional trading strategy, this role offers significant growth and impact.

Responsibilities

  • Build and Scale Platform: Develop and scale our cash equity electronic execution platform using Java, Rust, and advanced AI technologies to power the next generation of algorithmic trading systems.
  • Market Microstructure Research: Conduct EMEA equity market microstructure research, applying advanced statistics, probability, and mathematical finance to extract actionable trading insights.
  • Backtesting and Prototyping: Backtest and prototype quantitative research strategies, leveraging Python and kdb+ to validate and optimize algorithmic trading models.
  • Performance Monitoring: Monitor and analyze client trading performance, delivering quantitative insights that optimize execution quality and client outcomes.
  • Collaboration: Partner with Sales Trading, Execution Advisory Services, and technology teams to align our platform capabilities with evolving business needs.
  • Control Functions: Collaborate with control functions—including Risk, Compliance, Legal, and Finance—to ensure robust governance and maintain a strong control infrastructure.
  • Risk Management: Maintain a focus on risk management and ethical practices, ensuring trading decisions protect our clients, reputation, and assets.
  • Regulatory Compliance: Complete and maintain all required professional registrations and licenses within the designated timeframes to support regulatory compliance.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Required Qualifications and Skills

  • Extensive background in quantitative modeling or analytics, ideally within the financial sector, focusing on algorithmic trading systems.
  • Deep proficiency in Java and Python, with a strong foundation in software design and development principles.
  • Proven experience applying probability theory, statistics, and mathematical finance to solve complex analytical equations and analyze market data.
  • Demonstrated experience utilizing AI technologies to design and build high-performance trading applications.
  • Master's or PhD degree in a quantitative field (such as Mathematics, Financial Engineering, Physics, or Computer Science), or equivalent practical experience in a relevant field.
  • Strong written and verbal communication skills, with the ability to explain complex quantitative concepts to technical and non-technical partners.

Beneficial Skills and Qualifications

  • Hands-on experience with Rust and kdb+/Q for real-time data analysis and high-frequency trading.
  • Familiarity with EMEA equity market microstructure and cash equity execution dynamics.
  • Direct experience collaborating with risk management, compliance, or legal teams in a regulated global environment.

What We Offer

  • Career Growth: Grow your career locally or explore international opportunities, supported by our investment in your professional development through training and mentorship programs.
  • Flexible Work Environment: Enjoy a flexible work environment with our hybrid model, which blends in-office collaboration with remote flexibility to support your work-life balance.
  • Innovative Culture: Thrive in an innovative, inclusive culture where diverse perspectives are celebrated, and you will collaborate closely with world-class sales trading, execution advisory, and technology professionals.
  • Wellness Benefits: Leverage comprehensive wellness benefits, including medical coverage, mental health resources, parental and family support, and competitive retirement planning.

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If you are ready to drive innovation in algorithmic trading and make a global impact, apply today to join our team at Citi.


Job Family Group: Institutional Trading

Job Family: Quantitative Analysis

Time Type: Full time

Most Relevant Skills: Please see the requirements listed above.

Other Relevant Skills: For complementary skills, please see above and/or contact the recruiter.


Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their 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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Skills

Quantitative Modeling
Algorithmic Trading
Java
Python
Rust
Kdb+
Market Microstructure
AI Technologies
Probability Theory
Statistics
Mathematical Finance
Software Design
Backtesting
Risk Management
Financial Engineering
Data Analysis

Location

London, England, United Kingdom

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