Data Scientist â Fraud Strategic Analytics Associate

Data Scientist â Fraud Strategic Analytics Associate

Full-Time 50000 - 70000 £ / year (est.) No working from home possible

At a Glance

  • Tasks: Develop and implement fraud strategies to detect and prevent fraudulent activities.
  • Company: Join JPMorgan Chase, a leading digital bank revolutionising mobile banking in the UK.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Collaborative environment with opportunities to move between teams and projects.
  • Why this job: Make a real impact in fraud analytics while working with cutting-edge technology.
  • Qualifications: Master’s degree in a numeric or STEM field and experience in fraud processes.

The predicted salary is between 50000 - 70000 £ 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're already trusted by millions in the US and we're quickly catching up in the UK – but how we do things here is a little different. We're building the bank of the future from scratch, channelling our start‑up mentality every step of the way – meaning you'll have the opportunity to make a real impact.

As a fraud data scientist at JPMorgan Chase within the International Consumer Bank, you will be a part of a flat‑structure organization. Your responsibilities are to deliver end‑to‑end cutting‑edge solutions in the form of cloud‑native microservices architecture applications leveraging the latest technologies and the best industry practices. You are expected to be involved in the design and architecture of the solutions while also focusing on the entire SDLC lifecycle stages. Our fraud analytics team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution‑oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects – and depending on your strengths and interests, you'll have the opportunity to move between them.

Job responsibilities:

  • Responsible for development and implementation of fraud strategies/rules to effectively detect fraudulent activities.
  • Conduct analytics to support fraud product, fraud operations and financial crime to protect the financial interest of the customers and the bank.
  • Conduct analytics to support fraud operation team to improve efficiency and decision accuracy, including translation of fraud strategy into fraud operation impact.
  • Work with the 2nd line fraud risk teams to ensure models, rulesets and strategies are effective.
  • Ensure all compliance, audit & control frameworks are followed – using data to support the confirmation that these processes are adhered to regulation standards.
  • Share best practice across JP Morgan Chase & Co.
  • Possess superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners.

Required qualifications, capabilities and skills:

  • Master’s degree in numeric fields or STEM related fields, such as statistics, computer science, data science, etc.
  • Knowledge of fraud processes and products.
  • Team development and management experience required.

Data Scientist â Fraud Strategic Analytics Associate employer: 慨正橡扯

At JPMorgan Chase, we pride ourselves on being an innovative employer that fosters a dynamic work culture where every team member can make a significant impact. As a Data Scientist in our Fraud Strategic Analytics team, you'll benefit from a collaborative environment that encourages personal and professional growth, while working with cutting-edge technology to enhance customer experiences. Our commitment to diversity and inclusion ensures that all employees feel valued and supported, making us an excellent choice for those seeking meaningful and rewarding careers in the fintech space.

Contact Details:

慨正橡扯 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist â Fraud Strategic Analytics Associate

Tip Number 1

Network like a pro! Reach out to current employees at Chase UK on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for landing a role in the fraud analytics team.

Tip Number 2

Prepare for the interview by brushing up on your technical skills and understanding of fraud strategies. Be ready to discuss how you can contribute to the team’s mission of optimising fraud detection and enhancing customer experience.

Tip Number 3

Showcase your curiosity! During interviews, share examples of how you've tackled complex problems in the past. Highlight your passion for new technology and how it can be applied to improve fraud analytics.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining the Chase UK team and making an impact in the fintech space.

We think you need these skills to ace Data Scientist â Fraud Strategic Analytics Associate

Fraud Analytics
Data Analysis
Cloud-Native Microservices Architecture
SDLC Lifecycle Management
Transaction Monitoring
Fraud Strategy Development
Compliance and Audit Frameworks

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with fraud analytics and any relevant technologies you've worked with. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to showcase your passion for fintech and how you can contribute to our mission at Chase UK. Keep it concise but impactful – we love a good story!

Showcase Your Analytical Skills:In your application, don’t forget to mention specific projects or experiences where you’ve used data to solve problems. We’re all about getting smart ideas into the hands of our customers, so let us know how you’ve done that before!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, you’ll find all the details you need about the role and our team!

How to prepare for a job interview at 慨正橡扯

Know Your Data Inside Out

As a Data Scientist, you'll need to demonstrate your understanding of data analytics and fraud detection. Brush up on relevant statistical methods and tools you’ve used in the past. Be ready to discuss specific projects where you've implemented these techniques.

Showcase Your Problem-Solving Skills

Prepare to share examples of how you've tackled complex problems in previous roles. Think about times when you developed fraud strategies or improved processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.

Familiarise Yourself with the Company Culture

Chase UK values a start-up mentality and collaboration. Research their approach to innovation and teamwork. During the interview, express how your personal values align with theirs and how you can contribute to their mission of revolutionising mobile banking.

Prepare Questions for Your Interviewers

Interviews are a two-way street! Prepare insightful questions that show your interest in the role and the company. Ask about the team dynamics, current challenges in fraud analytics, or how they measure success in this position. This will demonstrate your enthusiasm and curiosity.