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

Apply Now

Data Scientist, Capital Team - Assistant Vice President

Citigroup, Inc.
Belfast
5 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Risk Analysis

Data Scientist London

Data Scientist

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills in data analysis, problem solving and presentation to working as a Data scientist in the Markets Capital Advancement team, to help Markets effectively manage 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

Responsible for analysing, presenting and sharing capital and related data using Tableau and other tools as needed. Aim for as much transparency and accessibility as possible, empowering others to utilise data and tools.

Within Counterparty Trading & Risk, the Markets Capital Advancement team is the central team that drives and oversees execution and management of capital initiatives.

What you'll do

  • Provide data analysis to product desks and other partners
  • Conduct strategic data analysis, identify insights and implications and make strategic recommendations, develop data displays that clearly communicate complex analysis.
  • Mine and analyse data from various platforms to drive optimization and improve data quality.
  • Consult with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions.
  • Drive communication between business leaders and IT; exhibit sound and comprehensive communication and diplomacy skills to exchange complex information.

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

What we'll need from you

  • Experience working with data analytics on large datasets, ideally within financial Markets.
  • Proven ability analysing business needs, building visualisations, and tracking down complex data quality and integration issues.
  • Very strong SQL and Tableau skills required. Python or other programming a plus.
  • Strong analytical and mathematical skills.
  • Methodical attention to detail
  • Demonstrable team skills both within and across teams.
  • Ability to pick up new concepts and think outside the box.
  • Preferably comfortable with derivatives modelling concepts.
  • Undergraduate numerate degree or higher

What we can offer you

This role will provide you the opportunity to build an in-depth knowledge of capital management within financial services. It will also provide an opportunity to put in practice data skills and strengthen these as you use data to drive change and solve complex problems.

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 Belfast, 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 Program
  • 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 energized 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.

Job Family Group:
Technology

Job Family:
Data Science

Time Type:
Full time

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.#J-18808-Ljbffr

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.