Data Scientist - Digital Banking

Job Description

About Us:

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses, and many of the world’s most prominent corporate, institutional, and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.

JPMorgan Chase is expanding consumer business beyond the U.S. borders for the first time, beginning with a digital-only retail bank in the U.K. We are looking for commercially minded, customer-focused, hands-on data scientists, who want to be a part of building a digital-only retail bank. 

Culture is as important to us and we are looking for intellectually curious and honest, passionate, hungry individuals who would like to expand their skills whilst working on a new exciting venture for the firm. This role will be based in London, United Kingdom. 

The success of this business relies on the platform that will be built - we will be using a stack that is cloud-native relying on cutting-edge technology. 

In this role, the candidate will be responsible for providing data-driven insights using machine learning techniques and advanced statistics, conducting A/B experiments in collaboration with product, marketing, design, and research teams.

Key Responsibilities:

• Collaborate with key stakeholders, product and marketing partners to understand the business problem, design A/B experiment, defining hypotheses, and drive the analysis
• Help the LOB stakeholders innovate through data-driven decisions by analyzing data from diverse data sources to create rich insights that enable better decision-making
• Work with other Data teams and multi-task on projects to summarize and synthesize data and present recommendations to the businesses in a clear and logical manner
• Identify unexplored data opportunities for the business to unlock and maximize the potential of digital data within the organization
• Support ongoing technology evaluation process and proof of concept projects

Qualifications:

• Experience with SQL with a strong ability to write complex queries to extract information arrive at an answer
• Experience with advanced statistics and big data
• Familiarity with machine learning concepts and their application    
• Competent in data analysis in Python
• Distinctive problem-solving skills and impeccable business judgment
• Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills
• Demonstrated ability to think beyond raw data and understand the underlying business context and sense business opportunities hidden in data
• Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions
• Self-starter who can provide insights and drive results in a dynamic and fast-evolving environment
• Adept at multi-tasking and meeting deadlines in a high-pressure environment

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.

Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes, and determining creditworthiness. Risk Management provides independent oversight and maintains an effective control environment.