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

Apply Now

Data Analytics Lead - Data Science/Developer

Citi
Belfast
1 day ago
Create job alert

Citi Belfast, Northern Ireland, United Kingdom


Are you looking for a career move that will put you at the heart of a global financial institution? 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 Business Risk Officer – Data Science/Developer will play an important role within Citi’s Markets Conduct, Financial Crime, and Regulatory Risk program, leveraging technical expertise to evaluate business use cases and develop functional prototypes. Recognized as a technical authority within the business, you will spearhead innovative projects focused on productivity, cost‑savings, and risk management, utilizing technologies such as Python, Golang, SQL, and GenAI.


What You'll Do

  • Collaborate with key stakeholders throughout Citi’s Global Markets, Risk, and Technology segments to prioritize projects, evaluate business use cases, and build prototypes capable of solving the problem at hand.
  • Serve as a visible technical expert, working closely with internal clients to interpret their challenges and convert them into high‑quality, actionable projects.
  • Investigate new project ideas, design solution frameworks, evaluate effort and feasibility, and provide recommendations to management aligned with financial value.
  • Drive the development and implementation of AI/GenAI strategic initiatives throughout Citi’s Markets Conduct, Financial Crime, and Regulatory Risk program.
  • Gather, validate, and analyze large, complex information sets; understand the data's meaning and its application to end users; identify and troubleshoot issues with data or results.
  • Translate business requirements into technical requirements, design, build, and deploy functional prototypes (end-to-end) utilizing programming languages such as Python, Golang, SQL, and GenAI.

What We'll Need From You

  • Hands‑on experience developing applications across multiple stacks.
  • Strong proficiency in Python, SQL, and common GenAI products.
  • Experience consuming APIs.
  • Consistently demonstrates clear and concise written and verbal communication skills.
  • Excellent problem‑solving skills with the ability to see the big picture while maintaining attention to critical details.
  • Demonstrated ability to develop and implement strategy and process improvement initiatives.
  • Capable of writing and building components to integrate into new or existing systems.
  • Documentation experience for complex software components.
  • Ability to work within a collaborative environment across different departments and geographies.
  • Creative thinking for identifying new opportunities.
  • Experience in the Financial Services industry and Risk Management is beneficial.
  • Bachelor’s degree in Computer Science, Data Science, or a related field; a Master’s degree is a plus.

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 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 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 discretionary annual performance related bonus
    >Private medical insurance packages to suit your personal circumstances
  • Employee Assistance Programli>
  • 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.


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, view Citi’s EEO Policy Statement and the Know Your Rights poster.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analytics Lead

Data Analytics Lead

Data Analytics Lead

Data Analytics Lead

Data Analytics Lead

Data Analytics Lead – Private Credit/Asset Based Finance

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.

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

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.