Data Scientist - Decision Science - Chase

JPMorgan Chase
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Job Description

JPMorgan Chase & Co. is expanding its consumer business by launching a new digital bank in the UK. We will offer consumers a completely new banking choice when we launch in the coming months. Using the Chase brand, the bank will provide products and features tailored to meet the needs of customers in the U.K., delivered via an innovative mobile app.

Our team is at the heart of building this new venture, focused on developing offerings that put the customer at the center. We have created a new organization and we are looking for solution-oriented, commercially minded, customer-focused data scientists, used to working in an agile environment who want to be a part of building something new from the ground up within a diverse and inclusive team.

Culture is as important to us and we are looking for intellectually curious, new technology passionate individuals who would like to expand their skills whilst working on a new exciting venture for the firm. Your work will have a massive impact, both on us as a company, as well as our clients and our business partners around the world.

This is a hands-on data scientist role within a digital and data-driven green-field initiative. We leverage the latest technologies and machine learning techniques and the best industry practices to deliver an end-to-end cutting-edge solution to our clients.

Your skills should include:

Qualifications

  • MSc or PhD in a computer science or STEM (science, technology, engineering or mathematics) related field or the foreign equivalent

Desired:

  • Evidence of real-life experience with end-to-end machine learning projects

Statistics and Machine Learning

  • In-depth knowledge of statistics and machine learning (required: supervised and unsupervised learning)
  • Understanding of current challenges surrounding artificial intelligence: A.I. ethics, fairness, data leakage, model drift, etc.

Desired:

  • Reinforcement learning (including multi-armed bandits)
  • Multi-task learning
  • Transfer learning
  • Semi-supervised learning

Software

  • Experience using Python and related libraries (required: TensorFlow; desired: PyTorch, TF probability, GPFlow)
  • Desired
  • Understanding of distributed systems and cloud technologies (AWS, GCP, Azure, etc.)
  • Understanding of relational databases
  • Understanding of data streaming and messaging frameworks (Kafka, Spark Structured Streaming, Flink, etc.)
  • Experience with SQL (any dialect)
  • Experience with containers and container-based deployment environment (Docker, Kubernetes, etc.)

Soft skills

  • Ability to work in a collaborative environment and coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
  • Ability to work in a dynamic, agile environment within a geographically distributed team
  • Ability to focus on promptly addressing customer needs
  • Ability to work within a diverse and inclusive team
  • Technically curious, self-motivated, versatile and solution oriented
  • Excellent written and verbal communication skills in English

Company Info.

JPMorgan Chase

For over 200 years, JPMorgan Chase & Co has provided innovative financial solutions for consumers, small businesses, corporations, governments and institutions around the world. Today, we're a leading global financial services firm with operations servicing clients in more than 100 countries. JPMorgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City. JPMorgan Chase

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JPMorgan Chase is currently hiring Data Scientist Jobs in Canary Wharf, London, UK with average base salary of £70,000 - £110,000 / Year.

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