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Senior Credit Risk Modeler
Qcells North America
Develop and maintain credit risk models to support lending decisions
21d ago
Experienced (8-12 years), Expert & Leadership (13+ years), Intermediate (4-7 years)
Full Time
Teaneck, NJ
Office Full-Time
Company Size
400 Employees
Service Specialisms
Solar Energy Solutions
Energy Storage Systems
Project Development
Renewable Energy Engineering
Energy Solutions Consulting
Sector Specialisms
Residential
Commercial
Government
Solar
Energy
Energy Storage Systems
Power Plants
Energy Retail
Role
What you would be doing
credit analysis
predictive models
data manipulation
report design
compliance
risk assessment
- Utilize credit bureau data (e.g. Experian, Equifax, TransUnion) to assess risk profiles, generate predictive analytics and tools such as statistical models for use in evaluating risk.
- Leverage advanced SQL, SAS and Python skills for data manipulation, processing and analysis to support credit decisions.
- Collaborate with lending teams to provide insights and support decision-making processes.
- Prepare detailed reports and presentations summarizing credit analysis findings and model performance.
- Design and generate reports to provide actionable insights for lending teams and stakeholders.
- Analyze credit and consumer data and evaluate the creditworthiness of individuals or businesses.
- Ensure compliance with regulatory requirements and internal credit policies.
- Build and maintain predictive models and predictive analytics to support credit lending decisioning and risk assessment.
- Perform risk assessments and recommend credit lending criteria based on thorough analysis of consumer information, credit data and model outputs.
- Stay updated on industry trends, credit scoring models, and changes in credit bureau reporting standards.
What you bring
sql
sas
python
excel
bachelor's
master's
- Advanced proficiency in SQL, SAS or Python for data manipulation, processing and analysis.
- Proficient in Microsoft Excel; experience with data visualization tools (e.g. Tableau) is a plus.
- Knowledge of regulatory requirements (e.g., FCRA, ECOA) related to credit underwriting and credit data is preferred.
- Bachelor's degree in Statistics, Mathematics, Economics or a related field, with a minimum of 8 years of professional work experience including 3+ years of experience building predictive models or in a similar role working with credit data and credit bureau data.
- Proficiency in working with credit bureau data and attributes from major credit bureaus (Experian, Equifax, TransUnion).
- Experience with automated credit decisioning systems.
- Excellent attention to detail and problem-solving abilities.
- Proven experience in building predictive models such as XGBoost, Light GBM, Logistic Regression for credit lending decisioning.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
- Strong communication skills, both written and verbal, to present findings clearly to stakeholders.
- Master’s degree in Statistics, Mathematics, Economics or a related field.
- Solar Industry experience (Renewable).
- Demonstrated expertise in designing and generating reports for portfolio and credit analysis.
- Understanding of lending products, including personal loans, mortgages, or commercial credit.
- Familiarity with credit scoring models, function and design and risk assessment tools.
- Strong analytical skills with the ability to interpret complex credit and financial data and model outputs.
- This target salary range is for CA positions only and should not be interpreted as an offer of compensation.
Information not given or found
Interview process
Information not given or found
Visa SponsorshipInformation not given or found
Security clearance- credit and consumer data analysis for creditworthiness evaluation
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Company
Overview
$2.5 billion investment
U.S. Solar Supply Chain Investment
A significant investment in building a fully integrated U.S. solar supply chain, from ingots to modules.
8.4 GW annual capacity
Georgia Plants Capacity
The Georgia plants (Dalton and Cartersville) deliver 8.4 GW of solar production capacity annually.
12 GW solar-plus-EPC deal
Landmark Microsoft Deal
A major 8-year deal with Microsoft underscores the company's market trust and scale.
30,000 panels/day
Dalton Production Rate
The Dalton site is the largest solar-module factory in the Western Hemisphere, producing tens of thousands of panels daily.
- Pioneers solar and storage innovation from U.S. factories, born in South Korea and on a mission in North America.
- Projects range from utility-scale EPC builds to residential panel installations and energy-storage systems.
- As a leader in solar tech, it pilots cutting-edge manufacturing techniques to reduce costs and improve efficiency.
- Blends global R&D roots in Germany and Korea with bold U.S. industrial expansion and market leadership.
35% Emission Reduction
GHG Emission Target
Committed to reducing Scope 1 and 2 greenhouse gas emissions by 35% by 2030, aiming for net zero by 2050.
25% Carbon Intensity
Certified Product Impact
U.S.-assembled panels are certified to be at least 25% less carbon-intensive than non-certified products.
>95% Material Recycling
Solar Panel Recycling
Partnership with SOLARCYCLE ensures over 95% of panel materials like aluminum, silver, and glass are recycled.
A Climate Score
CDP Recognition
Received top-tier 'A' climate score in 2023 from CDP for comprehensive climate reporting.
- Committed to net zero emissions by 2050 using a 2018 baseline.
- Generated significant on-site solar energy at Dalton facility.
- Reducing emissions per module despite increased production.
- Achieved EPEAT registration for solar products with lower embodied carbon.
- Dalton and Cartersville facilities expected to reach high capacity and COâ‚‚ avoidance.
316% growth
Membership Surge
The employee-led 'Clean Energy Crew' saw a significant increase in membership since its 2023 launch, demonstrating strong engagement and influence on workplace initiatives.
- Champion-level partner to Women in Renewable Industries and Sustainable Energy (WRISE)
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