Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Cash Equities Quantitative Analyst, Vice President

Citigroup Global Markets Limited
London
10 months ago
Applications closed

Related Jobs

View all jobs

Principle Data Engineer

Data Analyst

Data Engineer

Junior Data Engineer - Revenue Platform

Data Analyst - Supply Chain

Commercial Data Analyst - Pricing & Promo

We are seeking a highly motivated and experienced Quantitative Analyst for an exciting opportunity within our Cash Equities organization. This front-office role sits within the Central Risk team, which plays a crucial part in optimizing execution and risk across Citi's Equities franchise. You will be responsible for the research, design, implementation, and maintenance of systematic trading components, including our Systematic Internalizer (SI), portfolio optimizer/hedger, as well as analytics, estimators, and signals.

In this role, you will also build analytics and reporting capabilities which you will use to identify internalization opportunities, driving both P&L growth and cost reductions. You will collaborate closely with traders, risk managers, and technology partners, applying your quantitative expertise and coding proficiency to directly influence trading behaviour.

Required Skills and Qualifications

  • Expertise in statistical methods and inference, including time series analysis, regression, and optimization techniques
  • Advanced coding skills in one or more of the following languages: KDB/q, Java, C++, or Python, with demonstrated experience in designing and implementing production quality code
  • Strong experience in data processing and analytics libraries such as Numpy, Pandas and proficiency in handling large datasets effectively
  • Familiarity with best practices in software engineering, including testing and continuous integration as well as version control systems (e.g. git)
  • Ability to communicate complex quantitative concepts to non-technical stakeholders and collaborate effectively across teams
  • Strong analytical mindset, problem solving attitude, attention to detail, and a proven ability to solve complex quantitative or technical problems under pressure
  • Masters or PhD in a scientific, quantitative, or technical field such as Statistics, Computer Science, Mathematics, or Engineering
  • Experience in a similar role, ideally within an Central Risk, Execution, or Equities organization
  • Basic commercial awareness, as well as communication and diplomacy skills to guide, influence, and persuade stakeholders



Preferred Skills:

  • Proficiency in KDB+/q
  • Knowledge of the equity market microstructure, liquidity landscape, risk management, or trade execution algorithms
  • Understanding of modern portfolio theory and quantitative risk management techniques
  • Familiarity with central risk platforms and their integration with trading systems
  • Experience with feature engineering, machine learning techniques, and their applications in financial markets



What we offer:

  • Highly competitive compensation and benefits packages
  • The opportunity to work in a fast paced, intellectually challenging environment with direct trading impact
  • Access to cutting-edge technology and vast datasets readily available for you to make a real difference
  • Career growth and professional development opportunities within a leading global financial institution



Additional Responsibilities:

  • Work in close partnership with control functions such as Legal, Compliance, Market and Credit Risk, Audit, Finance in order to ensure appropriate governance and control infrastructure
  • Build a culture of responsible finance, good governance and supervision, expense discipline and ethics
  • Appropriately assess risk/reward of transactions when making business decisions; and ensure that all team members understand the need to do the same, demonstrating proper consideration for the firm's reputation.
  • Be familiar with and adhere to Citi's Code of Conduct and the Plan of Supervision for Global Markets and Securities Services; and ensure that all team members understand the need to do the same
  • Adhere to all policies and procedures as defined by your role which will be communicated to you
  • Obtain and maintain all registrations/licenses which are required for your role, within the appropriate timeframe
  • Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behaviour, conduct and business practices, and escalating, managing and reporting control issues with transparency.



This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Job Family Group:
Institutional Trading

Job Family:
Quantitative Analysis

Time Type:
Full time

Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. 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 reviewAccessibility at Citi.

View the "EEO is the Law" poster. View theEEO is the Law Supplement.

View theEEO Policy Statement.

View thePay Transparency Posting

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.