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Cecl Python Jobs in New Jersey (NOW HIRING)

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Cecl Python information

What is the difference between Cecl Python vs Cecl Data Analyst?

AspectCecl PythonCecl Data Analyst
Required CredentialsPython programming skills, financial modeling knowledgeData analysis skills, SQL, Excel, possibly some programming
Work EnvironmentDeveloping models, coding, testing in financial institutionsData interpretation, reporting, supporting decision-making
Industry UsageUsed by quantitative teams, risk management, model developmentUsed by business analysts, risk teams, finance departments

Cecl Python focuses on developing and implementing CECL models using Python programming, while Cecl Data Analysts primarily interpret data, prepare reports, and support model validation. Both roles are essential in financial institutions but differ in technical depth and daily tasks.

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Infographic showing various Cecl Python job openings in New Jersey as of July 2026, with employment types broken down into 2% Internship, 94% Full Time, 2% Part Time, and 2% Contract. Highlights an 90% In-person, and 10% Hybrid job distribution.

Senior Quantitative Finance Analyst

Jersey City, NJ • On-site

Jobtailor
See more jobs at Jobtailorexternal

$180 - $260/hr

Other

Posted 8 days ago

Job description

  • Lead the design, review, and approval of enterprise‑wide macroeconomic projections and stress scenarios supporting regulatory and internal use cases, including CCAR, CECL, IFRS‑9 and internal forecasting
  • Assess emerging macroeconomic, geopolitical, and financial market risks and identify implications for capital adequacy, credit risk, liquidity, and earnings
  • Provide thought leadership on evolving economic conditions and risks to the baseline outlook through executive‑level presentations, written briefings, and recurring senior‑leadership forums
  • Collaborate with a high‑performing team of economists and analysts, fostering strong analytical rigor, clear communication, and effective challenge
  • Advance the use of quantitative methods, data automation, and emerging technologies (including AI/ML where appropriate) to enhance scenario design, monitoring, and risk insights
Requirements
  • Advanced degree (Master’s or PhD) in Economics, Finance, or a related quantitative field
  • 8+ years of experience in macroeconomic analysis, scenario design, or stress testing within a large financial institution, regulatory body, or economic research organization
  • Expertise in regulatory stress testing and allowance frameworks (CCAR, CECL, IFRS‑9)
  • Strong understanding of global macroeconomics, financial markets, and bank balance sheet dynamics
  • Proven ability to communicate complex economic concepts effectively to senior executives and non‑technical audiences
  • Experience interfacing with regulators and responding to supervisory feedback
  • Familiarity with model risk management frameworks and governance requirements
  • Experience leveraging advanced analytics, automation, or AI‑enabled tools in economic or risk analysis
  • Some knowledge of Tableau, SQL, Python
Core Competencies

Demonstrates expertise in macroeconomic analysis, regulatory stress testing, and scenario design, with a strong ability to communicate complex concepts to senior leadership. Proficient in leveraging advanced analytics and emerging technologies to enhance risk insights and decision‑making processes.

Highest-signal resume keywords
  • Macroeconomic Analysis
  • Regulatory Stress Testing
  • Scenario Design
  • Advanced Analytics
  • Communication Skills
ATS Optimization Keywords Hard Skills
  • Macroeconomic Analysis
  • Scenario Design
  • Stress Testing
  • Regulatory Frameworks
  • Model Risk Management
  • Quantitative Methods
  • Data Automation
  • AI/ML Applications
  • Financial Market Analysis
  • Bank Balance Sheet Dynamics
Soft Skills
  • Clear Communication
  • Analytical Rigor
  • Collaboration
Industry Keywords
  • CCAR
  • CECL
  • IFRS-9
  • Economic Research
  • Regulatory Compliance
Tools & Technologies
  • Tableau
  • SQL
  • Python
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