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JPMorgan Chase
JPMorgan Chase

Global financial services firm

Treasury Quant Modelling -Associate

职能数据科学
级别应届/初级
地点Mumbai, India
方式现场办公
类型全职
发布1周前
立即申请

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.

ABOUT US

JPMorgan Chase, 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.

ABOUT THE TEAM

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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关于JPMorgan Chase

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

员工数

New York City

总部位置

$500B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

3.5

薪酬

4.0

企业文化

3.8

职业发展

3.2

管理层

2.8

68%

推荐率

优点

Good benefits and compensation

Supportive colleagues and environment

Flexible work arrangements

缺点

Long hours and heavy workload

Management issues and lack of direction

High stress and expectations

薪资范围

44个数据点

Mid/L4

Senior/L5

Mid/L4 · Applied AI ML Associate

2份报告

$188,500

年薪总额

基本工资

$145,000

股票

-

奖金

-

$182,000

$195,000

面试评价

4条评价

难度

3.0

/ 5

时长

14-28周

录用率

50%

体验

正面 25%

中性 75%

负面 0%

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

In-person/Final Interview

5

Offer

常见问题

Behavioral/STAR

Past Experience

Culture Fit

Financial Knowledge

Case Study