National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Risk Transformation Specialist

Citigroup Global Markets Limited
Belfast
7 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst – PowerBI Developer and MS Fabric Specialist

Graduate Data Analyst – London | Grayce

Head of Enterprise Data Engineering (London)

Head of Enterprise Data Engineering (London)

Data Engineer

Head of Enterprise Data Engineering

About the Role

The Risk Transformation Specialist will drive forward the successful execution of Risk Data & Transformation work in accordance with regulatory and the firm's expectations. This position will support projects related to Enterprise Risk Data & Technology initially focusing on the Enterprise Risk Identification program. The position will be responsible to understand, interpret and execute on Enterprise Risk Identification commitments to the regulators. The position will also be responsible for end-to-end strategic planning, project managing, stakeholder engagement, technology collaboration and communication to multiple senior forums. The position will be required to take on additional projects as and when needed that is not related to Risk Identification but fits into the overall Risk Data Transformation book of work.

About the Team

Enterprise Risk Data & Technology Transformation was formed with one purpose in mind To Build Risk Data & Technology solutions to deliver on our regulatory commitments. But our mission extends beyond solving our regulatory commitments. We want to Transform data, process, and technology to achieve a generational shift in Risk Management practices. By doing so we operationalize the Enterprise Risk Management Framework through technology solutions.

What you'll do

  • Support the Product Ownership, Strategy and Program management for several Enterprise Risk Identification Product Development
  • Establish Project Management and Business Analysis best practice, inclusive of documentation and governance
  • Lead, contribute and engage with 1st and 2nd LOD in working groups and senior steering committee meetings to drive the initiative to completion
  • Collaborate with Enterprise Risk Identification and Technology teams to ensure common goals and objectives are being met
  • Support Strategic planning and communication to multiple senior forums, regarding the various administrational activities and functions within the wider team
  • Ensure close coordination and partnership with various PMOs and execution teams to ensure timely delivery and success criteria
  • Acquire, analyse, and translate data into concise messaging to support decision making for key stake holders to make appropriate leadership decisions
  • Effectively work with internal audit and to reach a common understanding of the artifacts needed to support related testing and validation
  • Proactively identify and manage risks, issues, and dependencies and develop solutions to escalate and mitigate them
  • Create presentation materials and discussion points related to program content. Contribute to discussions and decisions, and assist in action item tracking, project plans, milestones, and meeting documentation



What we'll need from you

  • Proven Risk Management experience
  • Strong business analysis skills including process mapping and improvement
  • Project Management or Product Ownership experience
  • Financial services implementation experience, analytics, or related risk management function
  • In addition, any of the following will be a distinct advantage: Understanding of variety of risk types (Wholesale Credit, Market, Consumer, Operational, Reputational, Liquidity, etc.)
  • BS or MS degree in Economics, Finance, Computer Science, or other analytically intensive discipline
  • Comfortable working with big data
  • Strong ability in interacting, collaborating, and influencing senior business stakeholders and technology teams
  • Strong problem solver with leadership skills
  • Excellent oral and written communications skills
  • Capable of prioritizing and multi-tasking in a dynamic environment
  • Proficiency in Microsoft suite including Excel, PowerPoint, SharePoint and Visio
  • Ability to operate autonomously in order to make independent, strategic, and thoughtful decisions in order to identify and remediate problems and realize efficiencies across the function



Development Opportunities

  • Opportunity to be involved in a highly visible, impactful, and firm wide priority
  • Able to widen your knowledge of the banking industry and the risk and control framework
  • Chance to build an exceptional global network of professionals across multiple business areas, technology teams and 2nd line functions, including Finance and Risk
  • Long-term career path across geographies and business lines
  • Opportunity to widen your knowledge of the banking industry
  • Competitive compensation package and benefits
  • Flexible work arrangements



What we offer

  • Working in an international environment in one of the greatest financial institutions worldwide
  • An enjoyable and challenging learning path, which leads to a deep understanding of Citi's products and services
  • Competitive salary and social benefits (medical care, multisport, life insurance, award-winning pension plan, holiday allowance, hybrid work model, paternity/maternity scheme, award/recognition system, very lucrative employee referral program, and other)
  • Consideration for a yearly bonus
  • International projects in a culturally diverse and dynamic environment as well as learning top quality organizational culture
  • A supportive workplace for professionals returning to the office from childcare leave
  • Abundance of internal job opportunities locally and globally



Job Family Group:
Business Strategy, Management & Administration

Job Family:
Business Management

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

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.