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 revolutionize 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, channeling our start-up mentality every step of the way – meaning you'll have the opportunity to make a real impact.
As a Lead Data Architect - 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 Business 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:
Collaborating with business partners, research teams and domain experts to understand business problems. Providing stakeholders with timely and accurate reporting. Performing ad hoc analysis based on diverse data sources to give decision-makers actionable insights about the performance of the products, customer behavior and market trends. Presenting your findings in a clear, logical, and persuasive manner, illustrating them with effective visualizations. Collaborating with data engineers, machine learning engineers and dashboard developers to automate and optimize business processes. Identifying unexplored opportunities to change how we do business using data.Required qualifications, capabilities and skills:
Formal training or certification in Data Analysis using Python and 5+ years applied experience Advanced SQL querying skills. Experience in taking open ended business questions, then use big data and statistics to create analysis that can provide an answer to the questions at hand. Experience with customer analytics such as user behavioral analysis, campaign analysis, etc. Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data. Ability to work in a dynamic, agile environment within a geographically distributed team. Excellent written and verbal communication skills in English.Preferred qualifications, capabilities and skills
Distinctive problem-solving skills and impeccable business judgment. Familiarity with machine learning.