Portfolio Analytics Manager

Kredivo Group; Daerah Khusus Ibukota Jakarta; On-site; IDR 100.000.000 - 200.000.000; Full time

Job summary

A leading financial services provider in Jakarta is seeking a Portfolio Risk Analytics Manager. The ideal candidate will leverage data analytics to develop credit risk strategies and manage loan performance. Responsibilities include monitoring key risk indicators and collaborating with internal teams. Candidates should have a Bachelor's degree in a quantitative field and 5 years of relevant experience. Strong SQL and Excel skills are essential, with knowledge of Python preferred. This role promises a rewarding career in a dynamic environment.

Qualifications

• 5 years of experience in Data Analytics or as a Senior Risk Analyst.
• Understanding of Risk Performance metrics.
• Experience in credit risk strategies.

Responsibilities

• Develop credit risk strategies for loan authorization.
• Monitor portfolio risk using Data Analytics.
• Collaborate with various teams to implement risk strategies.

Skills

Data Analytics

Credit Risk Strategies

SQL

Excel

Communication

Education

Bachelor’s degree in a quantitative field

Tools

Python

Job description

At Kredivo we are building the future of financial services that are fast, cheap and widely accessible, wrapped up in a beautiful UX. As we are growing bigger, we are looking for a young and passionate individual for a role of Portfolio Risk Analytics Manager to be an integral part of Risk & Analytics Team. The Risk & Analytics team within Kredivo is responsible to set benchmark of risk appetite, set benchmark on desired minimum profitability, identify portfolio segments that need pruning/no action/further growth and actively monitor the loan portfolio being a go-to team within the organization on full visibility into Loan Performance. This opportunity will ensure a fast paced and a highly rewarding career for the individual.

About the role

As a Portfolio Risk Analytics Manager, you will work as an Individual Contributor (IC Role) to leverage Data Analytics to identify key credit risk indicators and potential risk factors within the loan authorization process and provide actionable insights to mitigate the potential risk that may arise. You are also expected to coach and mentor Junior members in the team helping them grow in their professional knowledge. Broadly, you will work on 2 key areas

Loan Authorization Strategies

• Understand, maintain and develop credit risk strategies to authorize new loans using relevant in-house credit risk scores, bureau information etc.
• Understand how risk-reward needs to be balanced ensuring that the loan book of Kredivo grows with healthy profits and controlled losses
• Develop frameworks to set benchmarks on Risk Appetite, Minimum Profitability, Standardized Authorization processes etc.
• Work with internal Product and Data Science team stakeholders to ensure that the credit risk strategies are implemented accurately

Portfolio Risk Monitoring

• Leverage Data Analytics with full potential to track key risk indicators assessing overall performance of new loan disbursals and existing loans repayment behaviour
• Work on ensuring that team is capable to produce ad hoc reports, investigation analysis in short span of time ensuring the gaps in monitoring are identified and addressed
• Actively liaising with Data Science, Business Development, Product and Growth teams to ensure that the risk monitoring reports capture the impact of relevant product and strategy changes on losses and profitability

About You

• Bachelor’s degree (Masters is a plus) in a highly quantitative field (Statistics, Operations Research, Economics, Computer Science, Mathematics or other quantitative disciplines)
• 5 years of work experience in Data Analytics and MIS working in a role of Senior Risk Analyst or Senior Data Analyst with minimum 2-3 years experience in credit risk strategies
• Should have a fair understanding of Risk Performance metrics like Expected Loss, Risk Appetite, break-even profits, early warnings on repayment behavior, DPD metrics, Flow Rates
• Strong ability to communicate effectively working in collaboration with different stakeholders
• Hands-on and proven experience in data driven decision making leveraging large structured and unstructured data to make impactful decisions for the business
• Familiarity with how Credit Risk Models (using statistics and machine learnings) work and high comfort with basic statistical skills useful for model diagnostics, model validation and interpreting if the model serves the purpose of Credit Risk Strategies or not
• Experience in leading a team is a great plus
• Technical Skills: Strong SQL and Excel skills is a must. Basic Python programming preferred

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