At a Glance
- Tasks: Lead the development of innovative fraud models and ensure their effectiveness in real-world applications.
- Company: Join JPMorgan Chase, a historic leader in financial solutions with a commitment to diversity.
- Benefits: Enjoy competitive pay, inclusive culture, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on innovation and career advancement.
- Why this job: Make a significant impact in fraud prevention using cutting-edge AI and machine learning technologies.
- Qualifications: Advanced degree in a quantitative field and experience in fraud modelling or data science.
The predicted salary is between 72000 - 88000 £ per year.
- Job Responsibilities
- Develop and manage proprietary fraud models and perform due diligence for vendor models.
Validate model performance on internal data, ensure modelling choices are appropriate for the portfolio, decisioning context, and operational constraints.
Work closely with platform engineers to support model deployment.
- Prepare complete governance and Model Risk Management packages, including development documentation, testing evidence, model limitations, and implementation specifications.
Support independent validation, respond to findings, and drive remediation to closure.
- Support ongoing monitoring for performance and stability (e. g., drift, calibration, population shifts, fraud‑typology changes).
Define monitoring metrics, thresholds, Investigate degradations and drive remediation actions.
- Communicate model design, trade‑offs, results, and limitations to senior stakeholders and governance committees in clear business terms.
Train and support downstream users on correct interpretation and use of model outputs.
- Maintain audit‑ready artifacts such as model documentation, monitoring reports, validation responses, and control evidence to support internal audits and regulatory exams.
Provide timely, traceable responses to inquiries and ensure documentation stays current post‑deployment.
- Required Qualifications, Capabilities, and Skills
- Advanced degree (MSc or Ph D) in a quantitative or technical discipline.
- Solid understanding of fraud modelling in financial organizations, including the unique challenges and regulatory considerations involved.
Credit modelling is acceptable as a transferable background.
- Industry experience in applied data science, machine learning techniques, with a strong understanding of both traditional statistical and machine learning models.
- Proficient in Python, SQL, with hands‑on experience in data analysis and writing production‑quality code.
Extensive experience with machine learning and data analysis toolkits (e. g., Num Py, Scikit‑Learn, Pandas).
- Ability to effectively leverage Generative AI tools to enhance productivity, analysis, and problem‑solving in day‑to‑day work.
- Strong written and spoken communication skills to effectively convey technical concepts and results to both technical and business audiences. Team player.
- Preferred Qualifications, Capabilities, and Skills
- Experience with identity verification fraud models.
- Experience with ML model explainability.
- Experience with model risk management frameworks.
ABOUT US
JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.
Morgan and Chase brands.
Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.
We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Visit our FAQs for more information about requesting an accommodation.
ABOUT THE TEAM
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing.
We're proud to lead the U.
S. in credit card sales and deposit growth and have the most‑used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for
Applied AI Machine Learning Vice President (Fraud Modelling) in London employer: JPMorgan Chase
J.P. Morgan is an exceptional employer, offering a dynamic work environment where you can contribute to the growth of a regional Treasury platform in MENA. With a strong focus on employee development, diversity, and inclusion, you will have access to unique opportunities for professional growth while collaborating with top-tier professionals across various functions. Join us to be part of a high-impact team that values your contributions and fosters a culture of innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Machine Learning Vice President (Fraud Modelling) in London
✨Tap into Campus Networks
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We think you need these skills to ace Applied AI Machine Learning Vice President (Fraud Modelling) in London
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to JPMorgan Chase.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on JPMorgan Chase's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at JPMorgan Chase
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with JPMorgan Chase.
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✨Network with Industry Professionals
Before your interview, reach out to current or former JPMorgan Chase employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
