JP Morgan Chase – Associate – Wholesale CRE Portfolio Analytics J.P. Morgan

The Corporate Institute

Mumbai

On-site

INR 900,000 - 1,300,000

Full time

14 days+
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Job summary

JPMorgan Chase in Mumbai seeks a Risk Management and Compliance professional to join the Wholesale CRE Portfolio Analytics team. You will research market trends and assess impacts on a multi-hundred-billion CRE portfolio using Python, SQL, and data visualization tools.

You will collaborate with senior stakeholders to drive proactive risk insights, back-test models, and refine RSA factors, while applying innovative technologies to enhance decision-making in banking.

Qualifications

  • Bachelor’s or Master’s degree in Mathematics, Statistics, Finance, or related fields.
  • 3+ years of relevant work experience is required.
  • Excellent problem-solving, communication, and teamwork skills.
  • Strong proficiency in Excel and PowerPoint; ability to develop dashboards and data visualization software (Tableau, QlikSense).
  • Experience with Alteryx, Python or SQL and a willingness to embrace modern banking technologies.

Responsibilities

  • Evaluate CRE data including portfolio concentrations, client and property financials, appraisal, macro-economic data, and real estate market trends and assess the impacts on loan performance and risk grading across all property types (including construction).
  • Analyze CRE loan risk grading methodologies to identify opportunities for process optimization and more efficient decision-making, leveraging loan characteristics, key performance metrics, and industry/sector trends. Partner with technology/production partners for any use-case/solution deployment.
  • Lead thematic and portfolio research initiatives focused on identifying and analyzing emerging risk trends. This involves synthesizing data and insights to understand how these trends impact industry dynamics and credit risk, thereby informing the development of proactive risk management strategies.
  • Utilize strong Python and SQL skills to efficiently manage and manipulate large data sets. This includes performing backtesting and conducting detailed portfolio analytics to validate models and ensure the robustness of credit risk assessments.
  • (Optional) Apply Large Language Model (LLM) skills to synthesize information from multiple sources, generating systematic and comprehensive reports. This capability will enhance the ability to integrate diverse data points and insights into cohesive analyses that support strategic decision-making.
  • Develop/refine Risk and Strength Assessment (RSA) factors to create analytics-driven market and portfolio insights and indicators, enabling continuous monitoring frameworks for proactive risk identification.
  • Partner with modeling teams for CRE grading model back-testing, ongoing performance monitoring
  • Work in close collaboration with senior stakeholders to maintain/monitor elevated risk segmentation, identify top risks, and provide specialized analysis and review as requested

Skills

Python
SQL
Excel
PowerPoint
Tableau
QlikSense
Alteryx

Education

Bachelor’s or Master’s degree in Mathematics, Statistics, Finance, or related fields

Tools

Python
SQL
Excel
Tableau
QlikSense
Alteryx

Job description

Description:

As part of Risk Management and Compliance, you are at the center 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. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As a valued member of the Wholesale CRE Portfolio Analytics team, you will be responsible for the research and evaluation of commercial real estate market trends and economic impacts on a >$200 billion CRE portfolio.

Job Responsibilities:
  • Evaluate CRE data including portfolio concentrations, client and property financials, appraisal, macro-economic data, and real estate market trends and assess the impacts on loan performance and risk grading across all property types (including construction)
  • Analyze CRE loan risk grading methodologies to identify opportunities for process optimization and more efficient decision-making, leveraging loan characteristics, key performance metrics, and industry/sector trends. Partner with technology/production partners for any use-case/solution deployment
  • Lead thematic and portfolio research initiatives focused on identifying and analyzing emerging risk trends. This involves synthesizing data and insights to understand how these trends impact industry dynamics and credit risk, thereby informing the development of proactive risk management strategies
  • Utilize strong Python and SQL skills to efficiently manage and manipulate large data sets. This includes performing backtesting and conducting detailed portfolio analytics to validate models and ensure the robustness of credit risk assessments.
  • (Optional) Apply Large Language Model (LLM) skills to synthesize information from multiple sources, generating systematic and comprehensive reports. This capability will enhance the ability to integrate diverse data points and insights into cohesive analyses that support strategic decision-making.
  • Develop/refine Risk and Strength Assessment (RSA) factors to create analytics-driven market and portfolio insights and indicators, enabling continuous monitoring frameworks for proactive risk identification
  • Partner with modeling teams for CRE grading model back-testing, ongoing performance monitoring
  • Work in close collaboration with senior stakeholders to maintain/monitor elevated risk segmentation, identify top risks, and provide specialized analysis and review as requested
Required Qualifications, Skills, and Capabilities:
  • Bachelor’s or Master’s degree in Mathematics, Statistics, Finance, or related fields.
  • 3+ years of relevant work experience is required.
  • Excellent problem-solving, communication, and teamwork skills.
  • Strong proficiency in Excel and PowerPoint and the ability to develop proficiency in dashboard, mapping, and data visualization software (i.e. Tableau, QlikSense)
  • Relevant work experience in software, programming or coding such as Alteryx, Python or SQL.
  • Desire to use modern technologies as a disruptive influence within banking.
  • Attentive to detail and easily adaptable.
  • Enthusiastic about knowledge sharing and collaboration.
  • Strong interpersonal skills – you listen and communicate in a direct, succinct manner.
  • Proven ability to develop collaborative relationships with key internal partners to achieve objectives and prioritizations.

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 FAQs for more information about requesting an accommodation.

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