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For Companies At a Glance
- Tasks: Analyse lending strategies and customer behaviour using advanced analytics techniques.
- Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity and inclusion.
- Benefits: Enjoy significant learning opportunities, career mobility, and a supportive work environment.
- Why this job: Be part of a dynamic team driving impactful strategies in consumer lending and analytics.
- Qualifications: Bachelor's/Master's in a quantitative field; 3+ years experience in data science and retail lending.
- Other info: Ideal for self-starters eager to innovate and solve complex business problems.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Job Description
Chase International Consumer Lending Analytics Team is the center of excellence for strategic and data analytics for International Consumer Retail and SME lending business. The team is responsible for measuring the effectiveness of and driving International Consumer Bank strategies across marketing, sales, distribution, pricing, and customer analytics. The results and learnings from these analyses, which seek to quantify both statistical and practical significance, are used to drive future strategy using a full suite of analytical techniques. The team offers significant learning and mobility opportunities for career development and future growth.
The Data Scientists in this role will:
- Analyze and measure the effectiveness of lending strategies including performance of marketing campaigns or customer segmentation
- Work with credit risk team to optimize the credit risk strategies for the lending products
- Consult with business partners on analytical needs and make strategy recommendations
- Solve unstructured business problems and develop deep dive analysis of customer behavior using multiple analytics and statistical techniques.
- Interpret results and present to stakeholders and senior management
- Continuously develop skills to provide best-in-class analytics to the business
Minimum Qualifications:
- Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
- Strong knowledge and experience in retail lending such as credit cards, personal loan, or overdraft products.
- Thought leader in data science and analytics who can define analytical agenda for projects, demonstrates ability to frame ambiguous business questions into analytical plans (e.g., assessing data needs, sourcing files, preparing data, creating new features, evaluating quality, etc.), and executes with precision
- Knowledge of modern data mining, quantitative research, and data science techniques (e.g., decision trees, regressions, machine learning, string similarity, behavioral analytics, look-a-like models)
- 3+ years of experience with SQL, Hive, Hadoop, Spark, Python
- 3+ years of experience in applying statistical methods to real world problems
- Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
Successful candidates in this role are:
- Self-starter with out-of-the box problem solving skills and a drive to bring new ideas to life
- Strong time-management skills, with the ability to multi-task and keep numerous projects on track
- Intellectually curious and eager to learn new things with an eye towards innovation
- Strategic thinkers with the ability to focus on business goals
- Excellent at solving unstructured problems independently
- Highly organized and able to prioritize multiple tasks
- Superior written and oral communication and presentation skills with experience communicating effectively with diverse audiences – across business and technology partners, including senior leadership
About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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 professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.
Data Scientist - Borrow Analytics Manager employer: J.P. MORGAN-1
Contact Detail:
J.P. MORGAN-1 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Borrow Analytics Manager
✨Tip Number 1
Familiarise yourself with the latest trends in data science and analytics, especially in retail lending. Being able to discuss current methodologies and tools like machine learning or decision trees during your interview will show that you're not just knowledgeable but also passionate about the field.
✨Tip Number 2
Prepare to demonstrate your problem-solving skills by thinking of real-world examples where you've successfully tackled unstructured problems. This could involve discussing specific projects where you used analytics to drive business decisions, which aligns perfectly with the role's requirements.
✨Tip Number 3
Practice your communication skills, as you'll need to present complex data insights to stakeholders. Consider creating a mock presentation based on a past project, focusing on how you can convey technical information clearly and effectively to non-technical audiences.
✨Tip Number 4
Network with professionals in the industry, particularly those who work in consumer lending analytics. Engaging with them on platforms like LinkedIn can provide valuable insights into the company culture and expectations, which can help you tailor your approach when applying through our website.
We think you need these skills to ace Data Scientist - Borrow Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and analytics, particularly in retail lending. Emphasise your skills in SQL, Python, and any statistical methods you've applied to real-world problems.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role of Data Scientist at J.P. Morgan. Discuss how your background aligns with their needs, especially your experience with credit risk strategies and customer behaviour analysis.
Showcase Your Analytical Skills: Provide specific examples of past projects where you used analytical techniques to solve complex problems. Highlight your ability to frame ambiguous questions into actionable analytical plans.
Prepare for Communication: Since strong communication skills are essential, practice summarising your analytical findings clearly and concisely. Be ready to discuss how you would present results to stakeholders and senior management.
How to prepare for a job interview at J.P. MORGAN-1
✨Showcase Your Analytical Skills
Be prepared to discuss specific analytical techniques you've used in previous roles. Highlight your experience with SQL, Python, and any machine learning methods relevant to the job. This will demonstrate your technical proficiency and ability to tackle complex data challenges.
✨Understand the Business Context
Research Chase International Consumer Lending and understand their strategies and products. Be ready to discuss how your analytical insights can drive business decisions, particularly in marketing and customer segmentation. This shows that you can align your work with the company's goals.
✨Prepare for Problem-Solving Questions
Expect to face unstructured problem-solving scenarios during the interview. Practice framing ambiguous questions into clear analytical plans. This will showcase your critical thinking and ability to approach problems methodically, which is crucial for this role.
✨Communicate Effectively
Since the role requires presenting findings to stakeholders, practice summarising complex data insights in a clear and concise manner. Tailor your communication style to different audiences, demonstrating your ability to engage both technical and non-technical stakeholders.
