Firmwide Data Management Data Infrastructure Engineer for Discovery Practice

Job Type:Full Time

Department: Firmwide Data Management
Title: Data Infrastructure Engineer for FDM Discovery Practice area.
About J.P. Morgan Corporate & Investment Bank
J.P. Morgan Chase is a global leader across banking, markets and investor services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries. With $18 trillion of assets under custody and $393 billion in deposits, the Corporate & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 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. The Chief Data Office has a mandate set and actively supported at the board level to transform data management towards demonstrable shareholder value. The FDM AI&ML Discovery team, have a firm ide remit to deliver a broad set of data capabilities including the functional and technical vision for data discovery and partnering with business lines to improve the commercial offering of data through the adoption of ML and AI techniques.

Department Description

The FDM group is accountable for transforming the approach and policies for managing data to create an industry-leading data environment in terms of control, cost, and efficiency. The program scope continues to evolve and encompasses cultural, behavioral, procedural and systemic transformation across the full range of data domains.
Role Background
Artificial intelligence (AI) is reshaping how we work, interact and share information and content. AI and Machine Learning (ML) technologies are being incorporated into our data activities.
These are helping to influence and re-shape our risk assessment processes, dataflow analysis, portfolio and catalog quality scoring, the identification of regulatory data, and operational and application-level interactions. The role will require working with senior stakeholders across J.P. Morgan Chase, looking to leverage best practice across the AI and ML industry and other J.P. Morgan business units, to enhance our Data Governance and commercial offering.
The successful candidate will join a team focused on data discovery within J.P. Morgan Chase and be responsible for supporting the strategy and execution of the Chief Data Officer’s initiatives for data management. Paramount to this will be FDM Data Governance, Vision and Strategy which will strengthen J. P. Morgan Chase’s ability to serve clients/customers, manage risk effectively, ensure regulatory compliance, achieve operational and technology efficiencies, and make informed strategic, financial, commercial and operational decisions.
Key roles and responsibilities:
The Data Infrastructure Engineer will be an “agent of delivery,” who builds and executes integration opportunities that will capitalize on analytical and data engineering tools for data discovery identification.
The successful candidate will possess strong foundational engineering data science skills, as well as an ability to develop strategic solutions through programing languages and database management systems. They must be able to take a holistic view of a business problem or challenge, and work with various technical groups to get the information necessary to develop changes through to production. Responsible for implementing technical direction, applying the appropriate statistical techniques to harness structured and unstructured data, and performing complex data analysis to extract useful information and develop solutions for industrialization within the discovery programme.
  • Shape the development of data discovery solutions and integration
  • Drive the design for automated data processes for data discovery and Identify areas to increase efficiency
  • Identify, evaluate and implement services and tools to support data validation and cleansing
  • Manipulate, analyse and interpret complex data sets relating to business flows
  • Mine and analyse large datasets, draw valid inferences and present to senior management
  • Provide quality metrics for benchmarking of data points and produce and track key performance indicators which align to Line of Business Sponsorship
  • Liaise with internal clients to fully understand data content and commercial usage / business opportunity
  • Gather, understand and document detailed business requirements using appropriate tools and techniques
  • Create data dashboards, graphs and visualizations to aid commercial opportunity

Skills & Experience Required

Data Engineering & Integration

  • Significant experience working in financial services in a technical engineering role

  • Extensive experience in turning data into actionable insights using a variety of programming solutions

  • Experience in Data Architecture and Information Architecture

  • Experience on a variety of database technologies like Oracle, SQL Server, Sybase, Cassandra, Mongodb

  • Experience of data analysis and data processing using Java, Python, R, PL/SQL, TSQL, KSQL, CQL, Airflow, Bash, Jupyter Notebooks

  • Strong understanding of RESTful APIs and / or data streaming

  • Experience of version control (Git, Bitbucket)
  • Experience of Data visualisation tools, e.g. Matplotlib, Seaborn, ggplot2, Birst, Tableau, Qlik, Grafana

  • Familiar with Agile working practices and methodologies

  • Good experience with enterprise-wide infrastructure technical architectures like Apache Spark, Amazon cloud and Big Data strategies

  • Experience with distributed nature of storing and analyzing data, through programming frameworks such as Hadoop and Spark

Analysis & Design
  • Experience of working with large and complex datasets for the purposes of analysis, and delivering analytics solutions

  • Experience of creating analytics dashboards or reports

  • Ability to translate business requirements into technical requirements, and determine appropriate technical solutions

Requirements & Problem solving
  • Experience of producing documentation/specifications for technical solutions

  • Keen to learn and continually develop skillset, collaborate and express ideas to make improvements

  • Demonstrates a passion for using data to solve problems and deliver value

  • Strong problem-solving skills and ability to logically analyse complex requirements, processes and systems

This role is a an outstanding opportunity within J.P. Morgan, and will offer the candidate the opportunity to join a high profile, efficient team and take a partnership role within the Firmwide Data Management group, to support one the most significant change programs at J.P. Morgan Chase.

  • Degree in computer science / information science (or similarly technical discipline).

About J.P. Morgan Chase & Co:

J.P. Morgan serves one of the largest client franchises in the world. Our clients include corporations, institutional investors, hedge funds, governments and affluent individuals in more than 100 countries. J.P. Morgan is part of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.1 trillion. 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. A component of the Dow Jones Industrial Average, JPMorgan Chase serves millions of clients and consumers under its JPMorgan and Chase, and WaMu brands.

JPMorgan Chase & Co. offers an exceptional benefits program and a highly competitive compensation package. JPMorgan Chase & Co. is an Equal Opportunity Employer and a member of the UK Government’s Disability Confident Scheme.

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