Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Quant Risk Enterprise Stress Testing - SVP

Citigroup Global Markets Limited
London
8 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (Commodities)

Senior Data Engineer (External)

Senior Data Engineer London, United Kingdom

Senior Data Engineer

Senior Data Engineer

Staff Data Scientist - Quant Research

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in portfolio management experience including stress testing, limit setting and management, risk appetite, and good understanding of regulatory requirements for stress testing and regulatory capital.

By Joining Citi, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.

Team / Role Overview:

The Stress Testing Results Review team within Enterprise Risk Management (ERM) works with large datasets and complex algorithms to solve data stress testing challenges. Individuals are proficient in financial and risk reporting as well as experience from the business and/or technical area desired, supports the development of training curriculum and standards and provide leadership and guidance for junior team members. Project management experience with proven ability to develop project plans to achieve milestones and deadlines.

What you'll do:

  • Identifies and monitors financial risk exposures and understanding the drivers of significant movements in reported exposures and work with key stakeholders to understand risk mitigation strategies and resolutions in accordance with the bank's risk appetite and risk limits identified, as well as regulatory requirements, as applicable.
  • Liaisons with 2LoD and businesses to understand market trends and impacts on portfolio, using knowledge of stress testing and its applicability to financial risks.
  • Identify and analyse significant risks and summarize risk views for senior management to ensure they are kept informed of developments in the portfolio.
  • Interacts with senior levels of management to facilitate understanding of usage of risk models and inform critical decisions.
  • Adept at building relationships with key stakeholders and influencing and negotiating to drive changes. Demonstrated interpersonal, organizational, analytical and presentation skills to obtain support and buy-in across a wide range of audiences.
  • Work with relevant risk pools to enhance existing ERM framework to ensure effective risk identification and management. Perform robust stress testing review and challenge as the Subject Matter Expert.
  • Work with methodology owners and relevant stakeholders on the interpretations of outcomes from enterprise stress testing and perform risk analytics to understand fundamental risk drivers and capture correlations between portfolios.
  • Collaborate with team members to further enhance the connectivity of ERA processes with day-to-day business, risk management and risk governance practices. This will include strengthening existing linkages or establishing new linkages to other practices at the firm, e.g., risk appetite, stress testing.
  • 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.
  • Provide support to Enterprise Risk Data Layer (ERDL) initiative, which will capture consistent, accurate and timely data from risk categories and ERM Risk pillars.
  • Partners with Risk and Decision Management organizations to understand the source of new data and continue to improve the process of defining, extracting and utilizing the new data.
  • Prioritize and drive results in a deadline driven environment while maintaining attention to detail and complete accuracy.



What we'll need from you:

  • Relevant experience in the financial services industry with either internal consulting organization, or within front office or risk office functions or related areas at leading financial services institutions, or a consulting firm in enterprise risk management or financial risk management -is essential.
  • Experience analysing risk, for all risk types including market, credit and operational -required. Familiarity with treasury risk and counterparty credit risk is a plus.
  • Experience with issues resolution including root cause analysis, mitigation plans, and remediation activities.
  • Ability to build and maintain professional working relationships and to influence counterparts in different areas of the organization, working across geographies and functions.
  • Presents insights and findings to a wide range of internal audience and senior management.
  • Excellent quantitative and analytic skills; ability to derive patterns, trends and insights, and perform risk/reward trade-off analysis.
  • Good understanding of stress testing analytics and its use in BAU risk management limit setting and monitoring.
  • Experience working in Big Data environments; intellectual curiosity to stay abreast of technological advances.
  • Excellent proficiency in Microsoft Office - particularly Excel (metrics and data analysis), PowerPoint (presentation decks), and Word (writing and editing procedural and technical documentation). Advanced knowledge and proficiency of data visualization (e.g., Tableau)
  • Ability to deliver compelling presentations and influence executive audiences.
  • Excellent communicator with strong written and verbal communication skills.
  • Self-motivated and detail oriented with strong influencing skills.
  • Ability to drive innovation via thought leadership while maintaining end-to-end view.
  • Effective cross-functional project, resource, and stakeholder management; effectively engage with internal audit and external regulators.
  • Bachelor's or Master's degree in a Quantitative discipline.



What we can offer you

We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.

By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

  • Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure
  • A discretional annual performance related bonus
  • Private medical insurance packages to suit your personal circumstances
  • Employee Assistance Programme
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends
  • Access to an array of learning and development resources



Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energised to join us, motivated to stay, and empowered to thrive.

Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.

#LI-TM3

Job Family Group:
Risk Management

Job Family:
Risk Analytics, Modeling, and Validation

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.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.