At a Glance
- Tasks: Lead innovative tech programmes and drive impactful AI/ML solutions in payments.
- Company: Join J.P. Morgan, a global leader in financial services with a rich history.
- Benefits: Competitive salary, health coverage, tuition reimbursement, and mental health support.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
- Why this job: Shape the future of payments technology and make a real difference.
- Qualifications: 7+ years in technical program management with strong AI/ML understanding.
The predicted salary is between 60000 - 80000 £ per year.
Elevate your career by steering multi-faceted tech programs, integrating innovative solutions for a dynamic impact across global operations. As a Principal Technical Program Manager in our Commercial & Investment Bank, Payments Technology Team, you will drive delivery of the Large Payments Model (LPM) - a domain-specific foundation model trained on structured payments data. LPM learns cross-cutting patterns from payments data and enables a single pretrained model to support multiple products, rails, and use cases.
This role leads end-to-end execution across Applied AI/ML (model development), engineering (serving and integration), data/feature pipelines, and governance/controls, ensuring LPM is delivered with technical excellence, scalability, and downstream adoption. LPM is optimized for prediction and classification problems central to payments (e.g., fraud detection, risk signaling, payment optimization).
You will translate business, technical, and operational objectives into an integrated program plan, managing resources, timelines, and budgets while navigating ambiguity and driving change.
Job responsibilities:- Own the program plan for LPM delivery: milestones, critical path, dependencies, resourcing, and operating cadence across multiple teams.
- Oversee execution across resources, timelines, and budgets; manage dependencies and control change in high-pressure, shifting environments.
- Drive alignment on LPM's delivery model and integration patterns for downstream consumers: real-time inference services, batch scoring, streaming integrations, and feature/signal delivery.
- Coordinate the Science track: training data/label strategy, model objectives, evaluation gates, robustness/segmentation, calibration, explainability inputs, and model release criteria.
- Coordinate the Production track: scalable data pipelines, model packaging, CI/CD, serving reliability, observability/monitoring, incident/rollback readiness, and cost/latency performance.
- Guide selection and implementation of appropriate platforms, tooling, and integration approaches to support LPM training/evaluation, serving, monitoring, and downstream adoption.
- Establish and run program mechanisms: sprint/program planning, cross-team standups, architecture reviews, risk reviews, release readiness, and executive updates.
- Manage RAID (risks, assumptions, issues, dependencies) proactively - especially around data readiness, integration timelines, platform constraints, and adoption readiness across products/rails.
- Partner with Risk/Compliance/Model Governance and controls to ensure documentation, traceability, approvals, and audit readiness are planned and delivered as part of the program.
- 7+ years experience in technical program management delivering complex, cross-functional initiatives from design through production launch.
- Strong technical fluency across modern systems: distributed services, data pipelines, integration contracts, and operational readiness.
- Experience delivering data/ML-enabled systems; understanding ML lifecycle concepts such as training data/labels, evaluation, deployment patterns, monitoring/drift, and feedback loops.
- Demonstrated ability to lead execution across Applied AI/ML, engineering, data, and control partners in a high-governance environment.
- Excellent written/verbal communication and executive-ready program reporting; strong ownership and ability to drive decisions under ambiguity.
- Experience working with vendor/partner solutions and/or platform teams, including evaluating options and managing delivery dependencies.
- Payments/fintech domain exposure (transaction processing, fraud/risk, payment optimization).
- Experience with multi-tenant platform delivery.
- Familiarity with cloud-native delivery, CI/CD, and observability.
- Experience working with model governance, risk/compliance, and audit requirements.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.
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.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Technical Program Manager- AI/ML- Payments
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like J.P. Morgan. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Principal Technical Program Manager- AI/ML- Payments
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 J.P. Morgan.
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 J.P. Morgan'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 J.P. Morgan
✨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 J.P. Morgan.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at J.P. Morgan will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former J.P. Morgan 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.