Senior Credit Risk Analyst

2 weeks ago

Noida, Uttar Pradesh, India Biz2X Full time
Biz2Credit Overview

Founded in 2007, Biz2Credit is a leading online platform for small business funding, trusted by over 200,000 businesses. We've facilitated over $10 billion in loans, helping companies grow and succeed.

Biz2X Overview

Biz2X powers digital lending for global banks and Indian financial institutions through the DigiKred platform, facilitating over INR 3 lakh crore in loans. Our AI-driven platform optimizes loan origination, risk management, and processing, enhancing lender efficiency.

Frontiers of Digital Finance (FDF)

FDF, powered by Biz2X, is an exclusive global conference series for industry leaders to explore trends in digital finance. Previous events were held in financial hubs like Miami, Dubai, and New York. For more details, visit our websites or follow us on LinkedIn.

Corporate Websites:

| Pages:

Biz2Credit | Biz2X

In the News:

- Americas Fastest Growing Companies - $12.25M ESOP Liquidity Scheme - Biz2X surpasses Rs 9,000 crore - Biz2X earns Great Place to Work certification (4th year) - Wins IBSi Global FinTech Innovation Award

Experience - 2.5-10 Years.

Location - Noida

Work From Office

Key Responsibilities:

You will be responsible for building credit risk models, driving underwriting and credit decisions, and ensuring optimization across risk, pricing and business growth. You'll play an important role in shaping our lending products and processes, ensuring they are built on a solid foundation of prudent risk management.

- Credit Decisioning: Leverage or build advanced credit risk models (functional rule based / heuristics and machine learning models) and lead critical credit decisions - Team Collaboration: Provide effective credit oversight to colleagues leading our credit teams - Risk Strategy Development: Develop, implement, and monitor risk strategies across credit underwriting, limit assessment, pricing, and collections - Policy Development: Assist in drafting a detailed risk policy for the business loan business and closely monitor the adherence of the same - Data Utilisation: Work extensively with Credit Bureau, Bank statement, financial data. Identify and evaluate alternate data features to explore credit expansion opportunities - Team Development: Coach and mentor younger team members to create a world-class credit team both in functional credit analysis and machine learning based models - Reporting and monitoring Systems: Drive robust monitoring and alerting systems for early warning signals of delinquencies in the portfolio, ensuring agility in decision-making. Perform Root cause analysis and present those to stakeholders in a timely fashion - Underwriting: Responsible for managing the underwriting operations and performing risk assessment for various policies. End-to-end underwriting analysis of core business including risk selection, primarily simple costing, contracts review and structuring; incorporating and improving relevant technology to make informed decisions Grow the core business by developing opportunities in the portfolio in collaboration with relevant specialists - Regulatory Compliance: Ensure that all risk models and pricing strategies comply with relevant regulations and industry standards. Stay updated on regulatory changes and adjust strategies

You Should Apply If You:

- Risk professional with 3-10 years of experience across a bank/NBFC with experience across retail-individual and retail business (micro businesses) underwriting / fraud /risk / collection - Strong hands-on experience and expertise in building Machine Learning based underwriting statistical models - Deep domain / functional knowledge in credit underwriting / credit analysis - Proven experience in underwriting risk management in the fin-tech or financial services industry, with a focus on credit risk. - Strong knowledge of fin-tech products, unsecured lending products, services, and technologies, as well as the regulatory landscape governing the industry. - Experience in Product and Credit Policy formulation, Collections and Recovery, Fraud and Operational Risks. - Exceptional analytical and problem-solving skills, with the ability to assess complex situations and make sound decisions. - Strong leadership capabilities with the ability to build and lead a high performing risk management team - Excellent Analytical and Data Science capabilities

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