Straive · 2 days ago
Data Science - Credit Risk Analytics
San Francisco Bay Area
Full-time
Onsite
Mid Level
3+ years expStraive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. The role focuses on identifying, assessing and monitoring credit risk across lending portfolios, working closely with stakeholders to develop and implement credit risk strategies and policies.
CRMOutsourcing
Hiring Manager
Swarnadip Mandal
Responsibilities
Credit Risk Monitoring: Continuously monitor risk exposures, identify and escalate potential credit risk issues to senior management and the risk committee to ensure timely mitigation
Credit Risk Strategy Development: Develop, maintain, update & implement credit risk policies, procedures, and guidelines to ensure alignment with regulatory requirements and industry best practices
Credit Risk Modelling: Develop, maintain, and validate credit risk models to estimate potential losses and predict credit risk. Collaborate with data scientists and analysts to integrate credit risk models with other risk models
Stakeholder Management: Inform and advise senior management, business units, and stakeholders on credit risk, and provide training on credit risk management and policies
Data Analysis and Reporting: Analyze large datasets to identify credit risk trends,and present findings to senior management using SQL, Python, and data-driven insights, providing clear and compelling recommendations
Credit Risk Assessment: Analyze and evaluate creditworthiness of customers, counterparties, and transactions to identify potential credit risks. Conduct thorough credit reviews, including financial statement analysis, industry research, and market trends
Regulatory Compliance: Ensure compliance with credit risk regulations, such as Basel II/III, Dodd-Frank, and other applicable laws and regulations. Collaborate with regulatory teams to respond to regulatory inquiries and examinations
Qualification
Required
Bachelor's degree in finance, Economics, Data Science, Engineering or a related field; master's degree preferred
Minimum of 3-4 years of experience in credit card analytics, with a focus in at least one of the following areas - Credit risk/Collection/Recoveries Analytics
Proficient in SQL and Python; experience with data visualization tools (e.g., Tableau, Power BI) is a plus
Excellent analytical and problem-solving skills, with the ability to interpret complex data and make informed decisions
Strong communication and presentation skills, with the ability to convey technical information to non-technical stakeholders
Proven ability to work collaboratively in a fast-paced, team-oriented environment
Company
Straive
Straive is a global provider of technology-driven content and data services.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
unknown2021-08-20Acquired
Leadership Team
Ankor Rai
Chief Executive Officer
Lori Silverstein
SVP Global Sales, Data and Content Solutions
Recent News
2025-06-21
Canada NewsWire
2025-06-19
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