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- Tasks: Lead fraud detection strategies and collaborate with teams to enhance customer security.
- Company: Join Chase UK, a digital bank revolutionising mobile banking with a start-up mentality.
- Benefits: Enjoy a flat-structure organisation, opportunities for growth, and a collaborative work environment.
- Why this job: Make a real impact in fintech while working on innovative solutions for fraud prevention.
- Qualifications: Master’s degree in quantitative fields; knowledge of fraud processes is essential.
- Other info: Work in dedicated tribes and squads, allowing flexibility based on your strengths.
The predicted salary is between 43200 - 72000 £ per year.
We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank, Chase UK, to revolutionise mobile banking with seamless journeys that our customers love. We are already trusted by millions in the US and we are quickly catching up in the UK – but how we do things here is a little different. We are building the bank of the future from scratch, channelling our start-up mentality every step of the way – meaning you will have the opportunity to make a real impact.
As a fraud data scientist at JPMorgan Chase within the International Consumer Bank, you will be part of a flat-structure organization. Your responsibilities include delivering end-to-end cutting-edge solutions in the form of cloud-native microservices architecture applications leveraging the latest technologies and industry best practices. You will be involved in the design and architecture of solutions while focusing on the entire SDLC lifecycle. Our fraud analytics team is central to this venture, focused on transforming innovative ideas into actionable solutions for our customers. We are seeking individuals with a curious mindset, collaborative spirit, and passion for new technology. Our team members are solution-oriented, commercially savvy, and have a fintech mindset. We work in tribes and squads dedicated to specific products and projects, with opportunities to move between them based on your strengths and interests.
Job specifications include: The Fraud & Financial Crime Product function leads the first line of defense for fraud & financial crime risk, including strategy and control framework ownership across all products and channels. Working within a specialized fraud team, you will ensure transaction monitoring and controls are optimized to reduce risks while maintaining a first-class client experience. You will support the product from an analytics perspective.
- Developing and implementing fraud detection strategies and rules to identify fraudulent activities effectively.
- Conducting analytics to support fraud products, operations, and financial crime prevention to protect customers and the bank.
- Supporting fraud operations to enhance efficiency and decision accuracy, translating fraud strategies into operational impacts.
- Collaborating with second-line fraud risk teams to ensure models, rulesets, and strategies are effective.
- Ensuring compliance with audit and control frameworks, using data to demonstrate adherence to regulations.
- Sharing best practices across JP Morgan Chase & Co.
- Communicating effectively with all management levels and partners through written, oral, and presentation skills.
Minimum qualifications, capabilities, and skills:
- A Master’s degree in quantitative fields or STEM disciplines such as statistics, computer science, or data science.
- Knowledge of fraud and financial crime processes and products.
- Experience in team development and management.
Contact Detail:
J.P. Morgan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Fraud
✨Tip Number 1
Familiarise yourself with the latest trends in fraud detection and financial crime prevention. Understanding the current technologies and methodologies used in the industry will help you demonstrate your knowledge during interviews and discussions.
✨Tip Number 2
Network with professionals in the fintech space, especially those working in fraud analytics. Engaging with industry experts can provide insights into the role and may even lead to referrals or recommendations for your application.
✨Tip Number 3
Showcase your collaborative skills by participating in relevant online forums or local meetups. Being able to discuss your experiences and learn from others will highlight your team-oriented mindset, which is crucial for this role.
✨Tip Number 4
Prepare to discuss specific examples of how you've developed and implemented data-driven strategies in previous roles. This will not only illustrate your technical expertise but also your ability to translate complex data into actionable insights.
We think you need these skills to ace Lead Data Scientist - Fraud
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and qualifications required for the Lead Data Scientist - Fraud position. Familiarise yourself with the key aspects of fraud detection strategies and the importance of analytics in this role.
Tailor Your CV: Customise your CV to highlight relevant experience in data science, fraud detection, and any specific technologies mentioned in the job description. Emphasise your analytical skills and any previous work in financial crime prevention.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fintech and your understanding of the challenges in fraud detection. Use specific examples from your past experiences to demonstrate how you can contribute to the team at JPMorgan Chase.
Showcase Your Technical Skills: In your application, be sure to mention any relevant technical skills, such as experience with cloud-native microservices architecture or familiarity with data analytics tools. Highlight any projects where you've successfully implemented fraud detection strategies.
How to prepare for a job interview at J.P. Morgan
✨Showcase Your Analytical Skills
As a Lead Data Scientist in Fraud, it's crucial to demonstrate your analytical prowess. Prepare to discuss specific projects where you've developed fraud detection strategies or conducted analytics that led to significant improvements in fraud prevention.
✨Understand the Fintech Landscape
Familiarise yourself with the latest trends and technologies in fintech, especially those related to fraud detection and financial crime prevention. Being able to discuss how these innovations can be applied at JPMorgan Chase will show your passion for the industry.
✨Emphasise Collaboration
Since the role involves working within a specialized fraud team, highlight your experience in collaborative environments. Be ready to share examples of how you've worked effectively with cross-functional teams to achieve common goals.
✨Prepare for Technical Questions
Expect technical questions related to data science methodologies, cloud-native architectures, and SDLC processes. Brush up on relevant concepts and be prepared to explain your thought process when solving complex problems.
