WCR Portfolio Analytics - Associate
Mumbai, Maharashtra, India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingEvaluate CRE data and market trends to assess impacts on loan performance and risk grades
Analyze CRE risk grading methodologies to find process improvements
Lead thematic and portfolio research on emerging risk trends
Use Python and SQL to manage large data sets, backtest models and run portfolio analytics
Partner with modeling teams on CRE grading model back-testing and monitoring
From the employer’s posting
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
Analyze CRE loan risk grading methodologies to identify opportunities for process optimization and more efficient decision-making
Lead thematic and portfolio research initiatives focused on identifying and analyzing emerging risk trends
Utilize strong Python and SQL skills to efficiently manage and manipulate large data sets. This includes performing backtesting and conducting detailed portfolio analytics
Partner with modeling teams for CRE grading model back-testing, ongoing performance monitoring
Education & alternatives
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.
Tools in this posting
- Python
- SQL
- Excel
- Tableau
Source — Tool mentions in context
- 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.
- 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.
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 30, 2026 · 30 days ago
- Recorded sightings
- 186
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Sep 17, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job 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:
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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)
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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
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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.
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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
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Partner with modeling teams for CRE grading model back-testing, ongoing performance monitoring
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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.
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Enthusiastic about knowledge sharing and collaboration.
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Strong interpersonal skills – you listen and communicate in a direct, succinct manner.
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Proven ability to develop collaborative relationships with key internal partners to achieve objectives and prioritizations.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Mumbai, Maharashtra, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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