JPMorgan Wholesale Portfolio Analytics - Industry Analyst 

United Kingdom, England, London 

742158956

As a Wholesale Portfolio Analytics - Industry Analytics Analyst in the Wholesale Portfolio Analytics team, you will be actively engaged in implementing extensive industry research and analytics initiatives for the Wholesale Credit Risk organization. You will conduct in-depth analyses of various industries to provide valuable insights and data-driven recommendations, enhancing our understanding of credit risk within the wholesale sector. By leveraging your expertise, you will contribute to developing robust analytical frameworks and methodologies that support informed decision-making and strategic planning within the organization.

Job responsibilities

• Conduct detailed industry research using a combination of external and internal data sources to provide a comprehensive credit perspective on various industries.
• Utilize strong analytical skills to develop and refine industry models that project financial outcomes based on macroeconomic indicators.
• Apply Large Language Model (LLM) skills to synthesize information from multiple sources, generating systematic and comprehensive reports.
• Use Python and SQL skills to efficiently manage and manipulate large datasets, including performing backtesting and conducting detailed portfolio analytics.
• Assist in thematic and portfolio research initiatives focused on identifying and analyzing emerging risk trends.
• Work with cross-functional teams to integrate industry research findings into broader credit risk management processes.
• Present research findings and analytical insights clearly to senior management and other stakeholders.
• Monitor and evaluate industry developments and macroeconomic trends, updating models and research outputs as necessary.

Required qualifications, capabilities, and skills

• Bachelor’s or Master’s degree in Mathematics, Statistics, Finance, Data Science, or related fields.
• Excellent communication skills, both written and verbal, with the ability to present complex analytical insights clearly.
• Strong problem-solving abilities with a focus on quantitative analysis and data-driven decision-making.
• Experience with analytics and data tools such as Python, R, SQL, TensorFlow, Keras/PyTorch, and Spark.
• Easily adaptable to new technologies and methodologies, with a desire to use modern technologies as a transformative influence within the banking sector.
• Enthusiastic about knowledge sharing and working collaboratively within a team.
• Commitment to continuous learning and staying updated with the latest analytical techniques and industry trends.

Preferred qualifications, capabilities, and skills

• Proficiency in building and interpreting financial models specifically tailored for credit risk assessment.
• Familiarity with econometric models and advanced statistical analysis methods.