This is a great opportunity to become a part of Risk Management and Compliance, where you are at the centre 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.
As a Transition Risk Modelling - Senior Associate in the Climate Nature and Social (CNS) Risk Management team, you will be responsible for developing the firm's approach to climate-related risk management, including both transition and physical risks. You will bring strong modelling, data, research and communication skills to support the build-out of climate risk capabilities across the firm. You will interact with variety of internal counterparts across the firm, learning about the many aspects relevant in assessing the potential implications of climate change on a large and global financial institution. Your strong track record of ownership and accountability will be key to the success of this role, along with being able to work effectively in an agile and highly collaborative environment.
Job responsibilities
Provide support to the team's climate and transition risk analytical frameworks*, with a focus on developing methodologies and conducting research on financial impacts of transition risk Contribute to the design or enhancement of internal climate scenarios and expanded variables to meet internal stakeholders' requirements, as well as interrogate and assess appropriate models from external parties, including vendors
Help build, maintain and analyse outputs from transition risk assessment models, scenario models and other user tools
Help address regulatory expectations and requirements for managing climate-related risk and produce documentation to support climate risk assessment models and user tools
Contribute content to the firm's public and regulatory disclosures
Become an expert in the datasets we use to manage climate risk, forming conclusions on key trends and patterns and working with data providers to maximise our knowledge
Support central data and modelling teams to source and integrate climate risk data into our risk models
Support continuous improvement of the team's delivery, as well as expansion into new analytics use cases, through an understanding of opportunities to leverage AI tools or automation processes
Required qualifications, capabilities and skills
Work experience in transition risk modelling, energy systems, energy and climate policy, climate science, or related fields as well as demonstratable work experience with climate scenarios, e.g. NGFS, IEA, IPCC SSP-RCPs, etc.
Strong university degree (2:1 equivalent or above), in economics, geography, environmental science or energy systems
Strong technical understanding of transition risks including climate and energy policy, technology risks, and consumer preference changes and transmission channels within an economy
Excellent analytical skills: comfortable working with large datasets, knowledge of Python or R is a must
Strong sense of ownership and ability to work independently in producing deliverables with high standards and within tight deadlines
Ability to convey information clearly, accurately and succinctly (both written and verbally) and collaborate effectively with a range of different stakeholders across the firm
Ability to draft high-impact presentations and documentation, strong attention to detail
Preferred qualifications, capabilities, and skills
Experience in working on highly quantitative and analytical projects
Experience related to Operations Research (e.g. optimization frameworks such as GAMS)
Experience related to statistical analysis, in particular econometrics
Understanding of climate related transition and physical impacts on macro-economic variables
Leverage awareness of AI tools and process relevant to development and application of analytical models
ABOUT US
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Risk Management helps the firm understand, manage and anticipate risks in a constantly changing environment. The work covers areas such as evaluating country-specific risk, understanding regulatory changes and determining credit worthiness. Risk Management provides independent oversight and maintains an effective control environment.
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Job Detail
Job Id
JD4294788
Industry
Not mentioned
Total Positions
1
Job Type:
Full Time
Salary:
Not mentioned
Employment Status
Full Time
Job Location
London, ENG, GB, United Kingdom
Education
Not mentioned
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Beware of fraud agents! do not pay money to get a job
MNCJobs.co.uk will not be responsible for any payment made to a third-party. All Terms of Use are applicable.