Credit and Risk Analyst

About Straive:

Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.

Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers.

Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them.

With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

Website: https://www.straive.com/

Job Overview:

We are seeking a skilled and analytical Credit Risk Manager to join our Analytics. The ideal candidate will have a strong background in data analytics and risk assessment. He will be responsible for assessing the creditworthiness of potential customers, monitoring the credit risk of existing customers, and developing strategies to mitigate potential credit losses.

Roles and Responsibilities:

• Utilize statistical models and data analytics tools to predict credit risk and assess the impact of economic changes on credit risk.
• Develop and enhance credit risk and underwriting models and scorecards.
• Continuously monitor the credit risk of existing customers and develop strategies to manage exposure.
• Develop model documentation and work with model risk management to implement credit risk models and scorecards.
• Conduct thorough analysis of financial statements, credit reports, and other relevant data to evaluate the creditworthiness of potential customers.
• Generate reports and presentations outlining credit risk, and mitigation strategies for management review.
• Collaborate with cross-functional teams, including risk management, model risk management, operations, and compliance.
• Monitor industry trends, regulatory changes, and best practices to continually enhance fraud prevention strategies.

Skills Required:

• Bachelor's degree in engineering, technology, computer science or related field. Master’s degree or certifications in fraud examination or risk management is a plus.
• 3+ years of proven data analytics experience in Model development, risk management, or a related field.
• Experience in US banking domain.
• Hands- on experience in Python/Pyspark, SQL, visualization tools like Power BI, Tableau, Qlikview.
• Experience with risk models, risk assessment methodologies, and regulatory compliance.
• Excellent communication and presentation skills with the ability to convey complex information clearly and concisely.
• Detail-oriented with a proactive mindset toward problem solving and risk mitigation.
• Ability to work collaboratively in a cross-functional team environment.