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About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
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JOB TITLE: Advanced Treasury Analytics – Vice President
The Advanced Treasury Analytics – Vice President joins the Commercial & Investment Bank Treasury team to develop quantitative analytics, decision-support tools, and scalable data solutions. This role focuses on optimizing financial resources by supporting strategic liquidity, risk, capital, and balance sheet management. You will lead the design and delivery of analytical products and models, working hands-on with large, complex financial data sets to generate insights. Key responsibilities include partnering with Treasury, Markets, and Technology stakeholders to translate business requirements into production-ready tools. You must possess advanced proficiency in Python and SQL, along with experience using modern data platforms like Databricks or Snowflake. The role requires expertise in treasury analytics, balance sheet analytics, and financial resource management within a markets environment to solve complex organizational problems.
Lead the design and delivery of analytical products and models to support Treasury decision-making.
Develop scalable analytics and insights by working hands-on with large, complex financial data sets.
Translate business requirements from stakeholders into technical specifications and production-ready solutions.
Build robust analytical frameworks and communicate clear recommendations to senior leadership.
Manage and mentor junior team members to support their professional development and growth.
Utilize Python, SQL, and modern data platforms like Databricks or Snowflake to build quantitative products.
Apply AI tools pragmatically to improve analytics, research, and product delivery processes.
What we're looking for
At least 6 years of relevant experience in a quantitative, analytics, strat, or technical role within banking or financial services.
Advanced technical background in building analytical solutions, data tools, or quantitative products in a business, Treasury, or risk management context.
Proven ability to work with large, complex data sets to develop scalable workflows and decision-support outputs.
Experience in Treasury analytics, balance sheet analytics, Financial Resource Management, or dynamic partnership with Treasury teams within a Markets environment.
Advanced proficiency in Python and SQL, problem-solving skills, and the ability to operate independently in a fast-paced environment.
Experience with modern data platforms and development environments such as Databricks, Snowflake, or similar cloud-based tools.
Track record of partnering across business, Quantitative Research, and Technology teams to deliver strategic analytics solutions into production.
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