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

Apply Now

Senior Data Analyst - Senior Vice President - London

Citigroup Global Markets Limited
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst - Chelmsford

Senior Data Analyst - Saint Eval

Senior Data Analyst

Senior Data Analyst...

Senior Data Analyst...

The Institutional Credit Management (ICM) team is a critical component of Citi's First Line of Defense for wholesale lending and counterparty credit risk. It partners with businesses Citi-wide to ensure we have best-in-class risk and control capabilities. ICM also plays an important role in Citi's Transformation efforts by helping to drive a Citi-wide focus on wholesale credit risk management. Through ongoing investment in processes, controls, systems, and governance, ICM continues to further embed consistency and best practices across Citi, driving closer alignment between our business and regulatory goals. The Lending Transformation Program (LTP) is a key initiative within ICM. The goal is to transform the end-to-end wholesale lending process which will consolidate major remediation efforts for loan product processing and establish a consistent target operating model with a focus on improved processes, controls, and enhanced technology to achieve best-in-class processing capabilities to support our client franchise.

ICM Lending Transformation is looking for a hands-on, dynamic technical analyst with knowledge of wholesale lending. This individual should have prior agile development experience and be proficient in data, analytics and reporting. They should be ready to join a fast paced, world leader in the financial services industry.

Key Responsibilities:

  • Support the development of rapid technology solutions and reporting requirements across all stakeholders across the Lending Transformation Program
  • Create ad-hoc dashboards and analytics to support day-to-day needs of senior leadership, with a focus on delivering accurate and rapid insights
  • Creation of documentation for technology solutions and data pipelines to ensure robustness and auditability
  • Contribute to critical reporting and business intelligence projects that have impact to the Lending Transformation Programs
  • Proactively identify and resolve data quality issues and opportunities for enhancing the organization's BI capabilities
  • Contribute to timely and complete delivery of reporting, analytics, and BI commitments to internal stakeholders and external regulators



Qualifications and Competencies:

  • Bachelor of Science (BS) degree in a quantitative discipline with 10+ years strong relevant experience in business intelligence and technology projects
  • Excellent oral and written communications skills; Must be articulate and persuasive.
  • Experience with industry standard data visualization tools; Tableau experience is a must
  • Experience and proficiency building data pipelines and performing analytics using KNIME (or similar software)
  • Experience creating team SharePoint sites and maintaining content to make information and documents easily accessible
  • Experience with big data infrastructure (Hadoop, Kafka, Hive, Impala) and data warehousing strategies is desirable
  • Exposure to various data repository structures, data extraction methods and various analytical/statistical tools (SQL, Python, etc.) is desirable
  • Committed team player
  • Proactive, 'no surprises', approach in communicating issues/requests
  • Capable of prioritizing and multi-tasking in a dynamic environment
  • Strong business analysis, problem solving and analytical skills
  • Keen sense of urgency and eagerness for ownership
  • Works well under pressure and in tight deadlines



Job Family Group:
Research

Job Family:
Research Product

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.