Data Scientist - Borrow Analytics Manager

JPMorgan Chase & Co.; Camden Town; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading financial services firm is seeking a Data Scientist to analyze lending strategies and optimize credit risk products. The ideal candidate has a Master's degree in a quantitative field and 3+ years of experience in data analysis, particularly in retail lending environments. Strong communication skills are essential for collaborating with business partners and presenting findings to management. Join us in driving innovative solutions in the financial sector.

Qualifications

• 3+ years of experience with SQL, Hive, Hadoop, Spark, Python.
• Strong knowledge and experience in retail lending.
• Superior written and oral communication skills.

Responsibilities

• Analyze and measure the effectiveness of lending strategies.
• Work with the credit risk team to optimize credit risk strategies.
• Consult with business partners on analytical needs.

Skills

Data Science/Analytics

Statistical Techniques

Communication Skills

SQL

Hadoop

Python

Education

Bachelor's and Master's degree in a quantitative discipline

Tools

SQL

Python

Hadoop

Job description

Overview

Chase International Consumer Lending Analytics Team is the center of excellence for strategic and data analytics for International Consumer Retail and SME lending. The team measures the effectiveness of and drives International Consumer Bank strategies across marketing, sales, distribution, pricing, and customer analytics. Results from analyses quantify statistical and practical significance to inform future strategy using a full suite of analytical techniques.

The Data Scientists in this role will:

• Analyze and measure the effectiveness of lending strategies including the performance of marketing campaigns or customer segmentation.
• Work with the credit risk team to optimize 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 analyses 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 an analytical agenda for projects, frame ambiguous business questions into analytical plans (e.g., assessing data needs, sourcing files, preparing data, creating new features, evaluating quality, etc.), and execute 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.

About the Team and Company

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 focused 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 corporations, governments, wealthy individuals and institutional investors. We are an equal opportunity employer and value diversity and inclusion. We do not discriminate on any protected attribute and make reasonable accommodations for applicants and employees in line with applicable law. Visit our FAQs for more information about requesting an accommodation.

About the Team: Our professionals in Corporate Functions cover finance, risk, human resources and marketing. The Digital team creates innovative, industry-leading products and experiences that help customers access, share and control their financial data to make smart decisions with their money. Teams enable innovation while upholding the firm\'s data sharing principles of security, customer control and convenience, and privacy.