Senior Internal Auditor - Artificial Intelligence & Machine Learning - Associate

JPMorgan Chase & Co.
London
1 month ago
Create job alert

We are looking for a talented Senior Associate to join our Chief Data & Analytics Office team as an Artificial Intelligence & Machine Learning auditor. This is your opportunity to play a crucial role in enhancing our organization's governance and operational excellence. The Chief Data & Analytics Office governs and enables Firmwide AI/ML capabilities, drives strategy and solutions to maximize the value of data across the firm, as well as designing and delivering enterprise data and analytics capabilities through key products and platforms.

As a Senior Internal Auditor - Artificial Intelligence & Machine Learning - Associate in the Chief Data & Analytics department, you will assist with ongoing risk assessment, control identification, audit execution, and continuous monitoring activities. This role is perfectly suited for an experienced IT audit professional with a keen interest and understanding of Artificial Intelligence and Data, as well as the audit and risk skills necessary to effectively execute global audits.

Job Responsibilities:

Participate in audit engagements from planning to reporting and produce quality deliverables to both department and professional standards while ensuring audits are completed timely and within budget Partner with colleagues and stakeholders to evaluate, test and report on the design and operating effectiveness of management’s controls Communicate audit findings to management and identify opportunities for improvement Create and maintain collaborative working relationships with stakeholders, while providing independent challenge Contribute to a collaborative working environment with team members and peers, supporting a culture that encourages integrity, respect, excellence and innovation Stay up to date with evolving industry and regulatory developments  Find ways to drive efficiencies in audit process through automation while embracing the innovative opportunities offered by new technologies

 Required qualifications, capabilities and skills:

Bachelor's degree (or relevant financial services experience) required. Experience with auditing technology controls and an understanding of emerging technology (., Artificial Intelligence/Machine Learning). One of the following professional qualifications is required: Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP). Experience with internal audit methodology and applying concepts in audit delivery and execution. Solid understanding of internal control concepts, with the ability to evaluate and determine the adequacy of controls by considering business and technology risks in an integrated manner. Excellent verbal and written communications skills. Strong analytical skills, particularly in regard to assessing the probability and impact of an internal control weakness. Enthusiastic and self-motivated, with a keen interest in learning; effective under pressure and willing to take personal responsibility/accountability.

Related Jobs

View all jobs

Risk Data Scientist

Risk Data Scientist

Senior Backend Engineer - Data Engineer

Senior Data Engineer - Databricks

Senior Product Manager

Senior Technical Services Engineer

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.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.