Climate Risk – Climate impact modelling - Associate / VP

JP Morgan

Location: Greater London

Job Type: Full time


As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

The Climate Risk team at JPMorgan is developing a new strategic data platform to host climate risk data and analytics going forward. We are building a team to help drive this initiative forward. This is an exciting opportunity to be part of a growing team and shape the direction of climate risk data at the firm.

The Climate Risk Data team is responsible for delivering on all aspects of data management. This includes working closely with a wide range of stakeholders such as business, vendor organizations, technology, data science, data consumers, governance and controls. The Climate Data team will plan data requirements and set up capabilities for appropriate data validation, monitoring, access control, reporting, and data quality control.

The Climate Risk Data team will be expected to ensure delivery of comprehensive data for user consumption, including for climate risk modelling and analytics, maintain data dictionaries and lineage, improve data quality and consistency, and support governance requirements.

A very strong track record of ownership and accountability will be key to the success of this role. The candidate should be able to demonstrate participating in a large-scale initiative with high impact. More specifically, the candidate should demonstrate having deployed relationship building skills, with a superior ability for execution; worked effectively within an agile environment; earned credibility by leading and persuading others, while positively influencing the outcome of team efforts.

Joining the team you will:

  • Help develop an in-house analytical and model-driven approach on climate risk scenarios for JPMorgan with an emphasis on quantifying climate change induced economic and 2nd order impacts
  • Develop internal climate (physical risk) scenarios and expand scenario variables to meet internal stakeholders’ requirements
  • Enhance chronic physical risk modelling capabilities
  • Interrogate, assess and choose appropriate models from external parties, including vendors
  • Coordinate with central data and modelling teams to source required data, develop climate scenario models, and determine how to best integrate climate risk data into BAU risk models

Minimum Skills, Experience and Qualifications

We are looking for someone excited to join our organization. If you meet the minimum requirements below, you are encouraged to apply to be considered for this role.

  • 3+ years of experience in Integrated Assessment Modelling (IAM) is a requirement
  • Good understanding of (macro-)economics is essential
  • Working knowledge of climate-related physical risks and the transmission channels within an economy
  • Strong academic background in in a highly quantitative discipline with a focus on optimization modelling
  • Excellent analytical skills and comfortable working large datasets; expertise in econometrics and other quantitative methods is highly desirable
  • Familiarity with climate scenarios, e.g. NGFS, IEA, IPCC SSP-RCPs, etc.
  • Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence
  • Ability to work effectively and gain credibility and respect of others. Lead and persuade others while positively influencing the outcome of team efforts
  • Highly effective in narrating the analytical output to stakeholders, with an ability to convey information clearly, accurately and succinctly (both written and verbally)
  • Proficient with coding in various languages; Python/R/GAMS experience a plus
You’ve got this!