658,057open jobs
38,313companies
94,964added this week
Browse all
Salary
$77k – $163k per year (Estimated)
Location
In office (Jersey City)
Seniority
Middle · 3+ years exp
Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

Bring your Expertise to JPMorgan Chase. 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 an Associate in Wholesale Credit Risk Loss Forecasting, you help influence loan loss estimation by supporting forecasting and stress analytics for credit hedges and held-for-sale loans. You partner with us across Business, Finance, Quantitative Research, and Technology to strengthen forecasting assumptions, improve analytics, and deliver timely stress testing outputs. You communicate results and key drivers in a clear, well-structured way to support decision-making across the first and second lines of defense.

Job Responsibilities

  • Build and maintain deep product knowledge of loan underwriting and syndication activities (with focus on Corporate and Infrastructure credit) as well as wholesale credit hedging strategies and instruments (e.g., CDS, indices, SRTs).
  • Conduct portfolio deep dive and risk analytics; Stay current on credit market conditions, macro themes, and relevant event-driven trends impacting the portfolio.
  • Review and challenge stress forecasts for hedge P&L and loss-mitigation benefit under internal and regulatory scenarios; support end-to-end stress testing production cycles for QST and CCAR.
  • Develop clear, well-structured management presentations summarizing stress results, key drivers, and walk/explain narratives for business and risk stakeholders.
  • Partner with Quantitative Research to refine modeling treatments and assumptions; become a subject matter resource on credit loss forecast parameters including Probability of Default, Loss Given Default, Rating Migration, and Mark-to-Market loss.
  • Lead UAT and implementation support for model enhancements, system migrations, and new functionality releases, including requirement definition, test design, execution, and issue triage.
  • Conduct ad hoc, transaction-level risk and stress estimates, and perform ongoing portfolio monitoring to identify emerging risks and forecast sensitivities.
  • Drive process efficiency through automation initiatives (including responsible use of LLMs/AI, where appropriate) to streamline forecasting, reporting, and controls.
  • Provide analytical support for risk review and challenge of new products, business initiatives, and stress methodology changes impacting the respective portfolios
  • Build and sustain strong stakeholder relationships across Business, Risk, Finance, Quantitative Research, and Technology, ensuring alignment on assumptions, timelines, and deliverables.

Required Qualifications, Capabilities and Skills

  • Bachelor’s degree in Business, Finance, Mathematics, or a related field.
  • 3+ years of experience in credit risk, stress testing, risk analytics, model development, or similar roles.
  • Strong knowledge of loan and derivative products; familiarity with leveraged finance and credit hedging instruments strongly preferred.
  • Demonstrated ability to build effective working relationships across First Line and Second Line stakeholders.
  • Ability to work independently with minimal supervision; sound judgment on when to escalate; ability to perform under pressure and deliver under tight deadlines.
  • Strong written and verbal communication skills, with experience preparing materials for senior management.
  • Strong technical skills, especially Excel, Tableau, and experience applying LLMs/AI to improve workflow efficiency; Python and automation experience is a plus.
  • Strong attention to detail, with the ability to manipulate and analyze large datasets and translate results into clear messaging.
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
658,057 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Jersey City
Data Analyst 1 day ago
$34k – $77k per year (Estimated) • In office • Full-Time • 5+ years exp • Bachelor's Degree • Madrid
Python
SQL
DevOps
Incident Management
Analytics
Tableau
Power BI
Management
Jira
Agile
Apply
$70k – $150k per year (Estimated) • In office • Full-Time • 8+ years exp • Master's Degree • Switzerland
Analytics
Tableau
Apply
$29k – $79k per year (Estimated) • In office • Full-Time • 5+ years exp • Master's Degree • Madrid
Python
Java
Scala
Databases
MySQL
Snowflake
Oracle
MS SQL
Teradata
AI/ML
Hadoop
DevOps
Azure
AWS
Analytics
ETL/ELT
Apply
$120k – $155k per year • Remote/Hybrid • Full-Time • York
Python
PowerShell
Databases
Azure SQL Database
AI/ML
Anomaly Detection
OpenAI
LLMOps
DevOps
Terraform
Azure DevOps
GitHub Actions
GitLab CI
Azure
CI/CD
Docker
Kubernetes
Bicep
FinOps
Incident Management
Cybersecurity
SBOM
Microsoft Entra ID
Analytics
Azure Data Factory
Apply
$120k – $155k per year • Remote/Hybrid • Full-Time • 5+ years exp • Bachelor's Degree • York • Baltimore
Python
SQL
AI/ML
Scikit-learn
Function Calling
Computer Vision
LLM
Anomaly Detection
Human-in-the-Loop
Edge AI
Tool Use
DevOps
CI/CD
Apply
In office • 2+ years exp • High School Diploma
Apply
$77k – $154k per year (Estimated) • In office • 3+ years exp • Bachelor's Degree • Charlotte
DevOps
SLI/SLO/SLA
Apply
$119k – $240k per year (Estimated) • In office • 5+ years exp • Plano
Python
PowerShell
Bash
DevOps
Terraform
GCP
VMWare
Azure
CI/CD
Windows Server
Git
AWS
Platform Engineering
Cybersecurity
Threat Modeling
Apply
$41k – $72k per year (Estimated) • In office • 2+ years exp • High School Diploma • Charlotte
Apply
In office • 2+ years exp • High School Diploma
Apply
$36k – $38k per year • In office • Full-Time • Jersey City
Apply
$101k – $135k per year • In office • Full-Time • 5+ years exp • Jersey City • Charlotte • Plano
Python
Bash
Databases
Redis
CockroachDB
DevOps
Terraform
Ansible
Red Hat
OpenShift
CI/CD
Jenkins
Git
Kubernetes
Bitbucket
Apply
$57k – $124k per year (Estimated) • In office • 2+ years exp • Jersey City
Apply
$40k – $54k per year • In office • Internship • Allen • New York • Jersey City
Design
Adobe Photoshop
Apply
$140k – $205k per year • In office • Full-Time • Jersey City
Python
Java
Rust
SQL
Solidity
DevOps
GCP
Azure
CI/CD
AWS
Web3
Smart Contracts
Ethereum
Hyperledger Fabric
Apply
See all jobs
This is one of many
658,057 more open roles from verified company boards, updated every day.