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Credit Risk Data Science Jobs in Sugar Land, TX (NOW HIRING)

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Credit Risk Data Science information

See Sugar Land, TX salary details

$33.2K

$102.1K

$177.1K

How much do credit risk data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for credit risk data science in Sugar Land, TX is $102,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $126,000.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What job categories do people searching Credit Risk Data Science jobs in Sugar Land, TX look for?

The top searched job categories for Credit Risk Data Science jobs in Sugar Land, TX are:

What cities near Sugar Land, TX are hiring for Credit Risk Data Science jobs?

Cities near Sugar Land, TX with the most Credit Risk Data Science job openings:

Risk Management - Global Commodities Credit Officer - Vice President

JPMorgan Chase & Co.

Houston, TX • On-site

$180 - $240/hr

Other

Posted 24 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks


Job description

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.

Job Summary

As a Global Commodities Credit Risk - Vice President within the Commercial & Investment Bank, you specialize in product-specific credit risks and help protect the firm across a dynamic global portfolio. You assess the risk of structured commodities products and transactions, negotiate related documentation, and partner with credit officers across all lines of business and industries to provide input on product structure, documentation, limit management, and market convention. You contribute to new business initiatives, lead periodic portfolio risk reviews, and analyze commodity market and credit risk data at both the client and portfolio level to deliver actionable insights that support senior management decision-making. You also help develop junior talent to strengthen the performance of the broader team.

Job Responsibilities
  • Leads credit risk due diligence on new commodity transactions and counterparties, with particular focus on structured or physical commodities transactions, and performs industry, business, and financial analysis to assess creditworthiness and recommend appropriate credit exposure and structure
  • Applies strong analytical, modeling, and problem-solving skills to understand risks and exposures
  • Negotiates credit terms in master trading agreements and structured transactions, including lien-based structures and other commodity financing structures
  • Assists other credit officers with credit due diligence, structuring, and document negotiation by sharing product risk expertise
  • Supports the Global Commodities Group on ad hoc projects related to new business initiatives, change management, policy, procedure, product control, regulatory relations, and business management
  • Prepares and presents periodic commodities risk reviews to senior management, detailing exposure metrics across the global commodities portfolio and analyzing key trends, drivers, and concentrations
  • Performs ongoing customer due diligence and financial analysis for a portfolio of commodity-only counterparties, including preparation of credit approval memos and customer reviews, management of exposure excesses, and maintenance of accurate, current credit ratings
  • Identifies deteriorating credits early and proactively manages problem situations
  • Provides oversight and guidance on the work of junior team members to ensure the quality of various credit processes
  • Maintains active working relationships with structuring, sales, trading, and origination teams and supports their continuing education on credit risk management, systems, and procedures
  • Partners with bank examiners and internal credit reviewers to validate credit quality and the integrity of the credit process
Required Qualifications, Capabilities, and Skills
  • Bachelor's degree
  • 6+ years of professional work experience in credit/ counterparty risks, commodities, and/or derivative products
  • Strong credit analysis and financial modeling skills
  • Experience working with and negotiating master trading agreements typical of the energy trading industry, including the International Swaps & Derivative Association (ISDA), North American Energy Standards Board (NAESB), and European Federation of Energy Traders (EFET), now Energy Trader Europe, agreements
  • Exceptional analytical aptitude and ability to think abstractly and project various "what-if" scenarios
  • Strong data analysis and presentation skills
  • Strong organizational skills, attention to detail, and an excellent work ethic
  • Ability to perform well under pressure in a demanding environment while managing multiple tasks simultaneously
  • Ability to work independently and collaboratively within a team environment
  • Proficiency in Microsoft Office Suite, especially Excel, PowerPoint, and Word
Preferred Qualifications, Capabilities, and Skills
  • Understanding of or experience in covering a variety of energy and commodity trading companies
  • Experience in data analysis and visualization using programming languages such as Python
  • Completion of a commercial/investment bank credit training program or equivalent experience, with a thorough understanding of bank credit policies and procedures
  • Understanding of front office processes and the ability to balance credit risk management with commercial requirements
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