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JPMorgan Chase Intelligent Solutions - Data Scientist/Engineer, Vice President / Associate

Req #: 170118702
Location: London, ENG, UK
Job Category: Technology
Potential Referral Amount: 3500 Pound Sterling (GBP)

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2 trillion and operations in more than 60 countries. The firm is a leader in investment banking, financial services for consumers, small business and commercial banking, financial transaction processing, asset management, and private equity.

 

JPMorgan Intelligent Solutions (JPMIS) is the group considering ways to transform and leverage JPM proprietary data assets into opportunities for JPM.  Protecting and managing intellectual property effectively as well as utilizing it to develop solutions that are both customized and scalable will enable JPM to create additional shareholder value.

 

Job Description

 

The Intelligent Solutions, London team work on projects that deliver real business value in short time frames.  All team members will have a core competency in software development and/or data science and have specialist experience in delivering real data science solutions.

 

Specifically, the JPMIS Data Scientist is responsible for developing, testing and evaluating quantitative models in a consulting-style environment, which places a premium on problem solving and client interaction. The specific role is dedicated to projects sourced from Markets, Investor Services and Investment Banking, Asset Management and/or Wealth Management so knowledge of wholesale business and economics is key.  Candidates will be measured by their hands on experience with applying machine learning techniques to real life problems first, and quantitative finance knowledge, second.

 

Primary Responsibilities

 

  • Participate in discussion of product design and usage, including engagement with end users

  • Develop, expand and evaluate machine learning models

  • Develop production quality code using Hadoop/spark stack.

  • Participate in discussion of data modelling and algorithmic design


     

Required

  • Must have proven track record of rapid delivery
  • Must be self motivated, self starter
  • Must be proficient in software development as related to role
  • Must have research method/experiment design experience
  • Must have Ph.D. or Masters in STEM field
  • Must have hands on experience of applying machine learning, predictive analytics techniques to real life problems

Qualifications

 

  • Education/Skills Requirements
  • Strong Java

  • Strong statistics/mathematics skills

  • Strong written and oral presentation / communication skills

  • industry experience required

 

 

Candidate must have prior experience with

  • Clustering techniques such as k-means, decision trees or random forests

  • Regression techniques, both linear and nonlinear

  • Machine learning techniques including supervised and unsupervised models

  • Financial markets with experience in developing financial risk/pricing models (multi-asset experience a plus)

 

Proficiency with the following is preferred

 

  • Scientific/numeric software such as Python/NumPy/SciPy

  • Data frame software such as Pandas

  • Time series analysis including ARIMA models

  • Distributed programming models such as MapReduce using Big Data technologies such as Hadoop or Spark

  • Ability to interact and influence both internal & external business partners

  • Desire to learn, desire to grow expertise in quantitative modeling and work within a team

     
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