Credit Risk Analytics & Strategy
About US: We are a company that provides innovative, transformative IT services and solutions. We are passionate about helping our clients achieve their goals and exceed their expectations. We strive to provide the best possible experience for our clients and employees. We are committed to continuous improvement and innovation, and we are always looking for ways to improve our services and solutions. We believe in working collaboratively with our clients and employees to achieve success.
DS Technologies Inc is looking for Credit Risk Analytics & Strategy role for one of our premier clients.
Job Title: Credit Risk Analytics & Strategy
Location: San Francisco, CA
Position Type: Full Time
Note: Any VISA'S Are Fine
Job Summary:
The role focuses on identifying, assessing and monitoring credit risk across lending portfolio.
The candidate will work closely with various stakeholders, including business units, risk
management, and regulatory teams to develop and implement credit risk strategies and
policies. Expertise in at least one domain — Credit Risk, Collections, or Recoveries — is
required.
Key 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.
Qualifications:
• 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.
This is a remote position.
Apply tot his job
Apply To this Job
DS Technologies Inc is looking for Credit Risk Analytics & Strategy role for one of our premier clients.
Job Title: Credit Risk Analytics & Strategy
Location: San Francisco, CA
Position Type: Full Time
Note: Any VISA'S Are Fine
Job Summary:
The role focuses on identifying, assessing and monitoring credit risk across lending portfolio.
The candidate will work closely with various stakeholders, including business units, risk
management, and regulatory teams to develop and implement credit risk strategies and
policies. Expertise in at least one domain — Credit Risk, Collections, or Recoveries — is
required.
Key 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.
Qualifications:
• 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.
This is a remote position.
Apply tot his job
Apply To this Job