Senior Auditor - Data Transformation and Analytics (Assistant Vice President)

Jobleads
London
6 months ago
Applications closed

Related Jobs

View all jobs

Internal Auditor - Public Sector Services

Graduate Internal Auditor - Internal Audit Management - Cannock

Senior Quantitative Analyst

Senior Data Scientist (GenAI)

Senior Data Scientist (MLOps)

Senior Electronics Engineer

Are you looking for a career move that will put you at the heart of a global financial institution? Then bring your skills and experience to Citi’s Internal Audit team.

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 Senior Auditor is an intermediate level role responsible for performing moderately complex audits and assessments of Citi’s risk and control environments of the Chief Operating Office (COO), including the Chief Data Office, Data Management, and Program Management, leveraging analytical tools, data science, and innovations when required. The overall objective is to apply in-depth disciplinary knowledge through value-added perspectives or advisory service to help Citi reach business goals.

The role will participate in audits, issues and regulatory validation, business monitoring and governance reporting which meet the requirements of the Boards of Citigroup and Citibank, their affiliates, and of Citi’s respective regulators, globally.

What you’ll do

  • Perform moderately complex audits and internal audit and regulatory issue validations as an individual contributor, and a manager of a small team, as needed.
  • Complete assigned audits within budgeted timeframes, and budgeted costs.
  • Monitor, assess, and recommend solutions to emerging risks.
  • Contribute to the development of audit processes improvements, including the development of automated routines to help focus audit testing.
  • Draft audit reports, and present issues to the business while discussing practical cross-functional solutions.
  • Recommend appropriate and pragmatic solutions to risk and control issues.
  • Apply understanding of internal audit standards, policies, and local regulations to provide timely audit assurance.
  • Develop internal audit staff and provide coaching to team members.
  • 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 behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards.
  • Develop and support analytical solutions for continuous auditing across a wide array of Citi’s vast data landscape, using SQL based analytical tools (e.g. Python, SAS, SSMS, etc.).
  • Support Risk Based Audits and Issue Validation through independent testing of data sets across multiple platforms, including Teradata, Oracle, SQL Server, and other databases for completeness, accuracy and applicability to internal audit testing and regulatory requirements.

What we’ll need from you

  • Suitable Internal Audit experience, ideally gained from within Financial Services, coupled with experience in providing scheduled and ad-hoc analytics or reporting.
  • Moderate and demonstrable experience in writing SQL queries (T SQL, P/L SQL, SAS, or Python).
  • Experienced understanding of management information systems, data analytics tools, and related best practices and control initiatives across the financial services industry.
  • Possesses strong analytical and interpersonal skills, makes sound decisions, exhibiting initiative and intuitive thinking.
  • Effective verbal, written and negotiation skills.
  • Effective project management skills.
  • Bachelor’s/University degree or equivalent experience.

What we can offer you

This is a fantastic opportunity to gain exposure to many parts of the business and to use your technical skills in a different way.

This is a role that will offer you the opportunity to build and develop an in-depth knowledge within Internal Audit and drive your career forward.

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

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.