At Renmoney, we believe finance should be simple, useful and accessible to everyone. That’s what makes us really passionate about leveraging data driven insights to help us understand you better and build useful financial products for your personal and business needs - like convenient loans to help you do more today, savings to keep you on track for your goals and investments that’ll generate more money for you.
We are looking for a proactive and detail-oriented Risk Analyst to join our team at Renmoney. As a Risk Analyst, you will be responsible for identifying, analyzing, and mitigating risks that could impact the organization. You will work closely with various departments to assess risk exposure and recommend strategies to minimize potential losses. Your expertise in data analysis, risk modeling, and regulatory compliance will be essential in supporting the company's risk management framework.
Responsibilities:
- Responsible for tracking success metrics and monitoring compliance to credit policy.
- Use analytical techniques to provide insights into key portfolios and segment trends.
- Improve the credit risk strategy to ensure the business operates within its agreed Risk Appetite and customers are treated fairly.
- Work with the data science team to review emerging trends and recommend areas for investigation, support with scorecard deployments and performance.
- Work with Products and other stakeholders to design strategy & loan process flows, ensure proper implementation and automation of credit actions and process changes.
- Provide support to business and process lines on risk identification, assessment, mitigation- identify procedures and scenarios for quality controls, spot areas for improvement to enhance the product's efficiency.
- Risk Decision engine management
Requirements
- Bachelor's degree in Finance, Risk Management, Business Administration, or a related field.
- Minimum of 2-4 years' experience in risk analysis, credit risk, or a related field, preferably in financial services.
- Strong proficiency in data analysis tools such as Python, SQL, R, and Excel.
- Knowledge of and experience with risk decision engines.
- Experience with credit risk modeling and scorecard deployments a plus.
- Experience in creating quality control procedures and recommending efficiency improvements.
- Ability to analyze complex datasets to identify portfolio and segment trends.
- Proven track record of formulating and implementing credit policies and risk strategies.
- Experience in working with cross-functional teams (e.g., Product, Data Science, Engineering) to design and automate loan process flows.
- Capability to identify risk areas, assess their impact, and propose practical mitigation strategies.
- Excellent ability to translate analytical findings into actionable business recommendations.
- Strong stakeholder management skills to ensure alignment on credit policy and strategy implementation.
- Keen focus on monitoring success metrics, ensuring adherence to credit policies, and improving processes.
Method of Application
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