Wholesale Credit Analytics Platform – Software Engineer

  • Competitive
  • Glasgow, Scotland, United Kingdom
  • Permanent, Full time
  • J.P.Morgan
  • 12 Nov 18

Wholesale Credit Analytics Platform – Software Engineer

JPMorgan Chase & Co . (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com .

The Corporate Technology (CT) organization develops applications and provides technology support for corporate functions across JPMorgan Chase, including Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and all functions within the Corporate Administrative Office (CAO).
CT teams are aligned with corporate partners' evolving technology needs and the firm's ever expanding technology controls agenda.
A top CT priority is building scalable corporate systems. Teams focus on:
• Responding to the evolving regulatory environment and helping to meet the firm's regulatory commitments by addressing internal and external commitments
• Advancing the firm's Roadmap programs -- Single Sourcing of data, Architecture Convergence, and Rationalization of Platforms
• Adopting industry leading technologies to support best-in-class business capabilities for high performance computing and data storage solutions
• Driving innovation across the firm's corporate technology portfolio, increasing efficiencies through process automation, and Agile application development, with an emphasis on user experience and shorter development cycles
• Investing in security & controls for cyber, access/entitlements uplift, data protection and application resiliency

As part of Corporate Technology we help develop the firm's platforms and reporting solutions for calculating and reporting on the risk, capital and finance calculations across the whole of JP Morgan. This role is for the Wholesale Loan and Forecasting Program, an exciting multi-year initiative to design, build and implement a suite of calculators for loans at JP Morgan. The models and integrated platform will support loan forecasts, analysis and sensitivity calculations for the providing a highly flexible infrastructure to implement and execute various analytics models. It will also provide distributed calculation and centralized consolidation, aggregation and further calculations required for reporting requirements and will involve working closely with a Quantitative research team in developing these models.

We are hiring for an Applications Developer who will be working with current and next-gen data technologies. This individual will be providing analytic development in Python and/or SLANG in a risk modeling environment.

Responsibilities include :

  • Work collaboratively in a team with innovative people, sharing your ideas to solve real business problems.
  • Develop new software within complex, enterprise environments using the technologies they know today but interested in learning about new technologies.
  • Working in an Agile Methodology environment (Scrum, Test Driven Development, Continuous Integration, etc.).
  • Focus on end-to-end quality.
  • Document the system and support it through system testing, user testing and production implementation.
  • Work with Business, Technology, and Support partners/stakeholders globally, to deliver strong solutions.
  • Bachelor's Degree in Computing Science / Software Engineering or related (Mathematics/Statistics, Science) or equivalent experience.
  • 3+ years of Object Oriented programming skills - Python, Java, and/or C++.
  • Experience of managing large amounts of data.
  • Hadoop (or similar) is preferred, but not required.

Preferred Skills/Experience :
  • Finance, particularly risk and risk modeling.
  • Experience on analytic platform such as SECDB, Corts, Athena, SAS.
  • Experience working on solving distributed compute problems using grid computing.