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

Apply Now

Credit Risk Innovation - Vice President

JPMorgan Chase & Co.
London
1 year ago
Applications closed

Related Jobs

View all jobs

Collections Data Scientist

Senior Data Scientist

Collections Data Scientist

Senior ML Quant Engineer - Fixed Income - Artificial Intelligence

Data Scientist

Senior Data Scientist

Are you interested in developing your career in finance which utilizes credit risk and innovation? This role would offer high visibility and an opportunity to make a meaningful impact within the bank.

As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a Credit Risk Innovation - Vice President in our new Credit Innovation Group you will embark on an exciting journey to leverage the power of artificial intelligence (AI) and business analytics to deliver strategic solutions for effective risk monitoring and underwriting. As a lead of Credit Innovation Group, you will delve into the depths of finance and technology to deliver business critical solutions.

Your role will be to push the boundaries of innovation by harnessing the power of cutting-edge artificial intelligence and analytical techniques. You will strategize, collaborate with multiple CoEs (Center of Excellence) within JP Morgan to conceptualise, ideate and deliver solutions critical for credit risk monitoring.

By joining our team, you will have the opportunity to make a significant impact on the strategic direction of JP Morgan. You will work alongside a talented group of professionals, collaborating to tackle complex challenges and drive innovation in the realm of Credit Risk.

If you are passionate about AI powered product development, enjoy strategic planning, good at decision-making, thrive in a fast-paced environment, and are eager to contribute to innovation in the finance sector, we invite you to join us on this exciting journey.

Job responsibilities

Lead product strategy and management from ideation to execution, creating a sophisticated platform for credit investment review and monitoring  Manage cross-functional relationships to foster a culture of innovation and ensure the successful adoption of technologies and developed products Leverage Artificial intelligence, Data Science, Design Thinking and Visualisation Tools to deliver solutions meeting strategic business objectives Develop product vision, objectives, and roadmap, based on collaboration with subject matter experts, senior management, internal stakeholders, users and internal technology partners  Collaborate with product, technology, data science and businesses across the firm to ensure the seamless integration of tools and platforms to deliver projects tailored to The Treasury/Chief Investment Office (TCIO) Stay updated with the latest trends and developments in Artificial Intelligence & Data Science. Apply the knowledge to improve products and internal processes Provides Product demos and conduct product review and feedback sessions with key stakeholders and define/direct the execution of release management activities within the Agile / Scrum model Ensures new features are implemented according to specifications, released on schedule, and issues are remediated in a timely manner Conducts governance reviews with business sponsors and key stakeholders to develop, enhance and enforce a plan for continuous improvement in products

Required qualifications, capabilities, and skills

A minimum of 6 years of experience in Product Management / Development or related capacity and proficiency in process re-engineering or similar Professional experience in data analytics, artificial intelligence and data visualization tools/ techniques Demonstrated experience leading cross-functional products/programs/projects with multiple stakeholders, ability to collaborate and build strong partnerships  Ensures new features are implemented according to specifications, released on schedule, and issues are remediated in a timely manner Conducts governance reviews with business sponsors and key stakeholders to develop, enhance and enforce a plan for continuous service improvement Highly adaptable, thriving in an environment where things change quickly and where new approaches and experimentation are required A strong academic background, with a minimum of a bachelor's degree. JPMorgan welcomes candidates from all academic disciplines

Preferred qualifications, capabilities, and skills

Front-end development, UI design, and dashboarding skills An keen interest and curiosity in Generative AI  A background in finance and domain knowledge in Credit Risk Practical knowledge of Agile

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.