Associate - Treasury Quantitative Modelling

Treasury Quant Modelling -Associate

You are a strategic thinker passionate about driving solutions in Quantitative Modelling. You have found the right team.

As an Associate within the Corporate and Investment Bank Treasury Quantitative Modelling team, you will play a pivotal role in shaping and executing essential initiatives that bolster the Corporate and Investment Bank’s strategies for capital, liquidity, and balance sheet management. You will collaborate daily with senior finance leaders and stakeholders worldwide to develop sophisticated quantitative analytics and decision-support tools that enhance business performance and ensure effective risk management. Our Quantitative Modelling team engages in a wide array of activities, including the creation of optimization models, machine learning solutions, time-series forecasting, and web-based analytics to support capital and liquidity management. You will work closely with the Corporate and Investment Bank Treasury, Product Control, Corporate Finance, and Regulatory Capital Management teams to ensure precise reporting and insightful analysis of risk-weighted assets, balance sheet, capital, and liquidity positions for both actuals and forecasts.

Job responsibilities 

• Contribute to CCAR Quant team in performing in-depth data analysis, using statistical and machine learning techniques, to pragmatically build predictive and explanatory models

• Identify and translate business challenges related to capital and liquidity management into quantitative analyses and user-friendly tools for use by a broad audience proactively

• Work collaboratively to establish close partnerships with peers across CIB Treasury, the greater CIB organization, and Corporate Treasury / CIO 

• Communicate and describe complex analyses, concepts, and tools to stakeholders both inside and outside of CIB Treasury in a clear and concise manner

• Mentor and train junior team-members to disseminate processes and institutional knowledge; participate on the ongoing process improvements, optimization, and rationalization efforts 

 

Required qualifications, capabilities, and skills

• University degree in a highly quantitative discipline (e.g., statistics, mathematics, computer science, economics, engineering) with finance degree (MBA) is required.

• Strong interpersonal and communication (verbal and written) skills are essential. Imperative to present information in a clear and concise manner to a wide variety of audiences

• Passionate about tackling difficult questions, conducting data analysis, and crafting a cohesive story from results

• Experience collecting, aggregating, and curating structured and unstructured datasets from various sources

• Must be versatile, able to work effectively independently or as contributor to a team, on multiple projects simultaneously.

• Self-starter, able to organize, and execute responsibilities with limited supervision, taking ownership of tasks at hand. 

Preferred qualifications, capabilities, and skills

• 5 yrs of relevant experience in financial modelling is a must. Familiarity with Balance Sheet and Banking/markets products is plus. 

• Proven experience programming in R or Python, or any other statistical programming language; development of web-based analytics and applications (e.g., R-Shiny) is plus.

• Strong problem-solving skills along with statistical and economic intuition; preferably experience with machine learning and other advanced statistical concepts. 

• Ability to work under pressure, rapidly prototype solutions, prioritize multiple tasks and bring projects to completion.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

Experience Level

Mid Level