Retail Credit Risk Analytics & Modelling Manager

Cermati.com; Daerah Khusus Ibukota Jakarta; On-site; IDR 100.000.000 - 200.000.000; Full time

Job summary

A financial technology company in Jakarta is seeking a Credit Risk Modeler to build analytics and reporting for retail customers. The role requires 3+ years of experience in credit modelling, proficiency in tools like R and Python, and strong communication skills. Candidates should have a good analytical background and a keen attention to detail. This opportunity offers the chance to lead a team and collaborate closely with product teams.

Qualifications

• 3+ years of experience in credit/risk modelling for retail customers.
• Significant experience in credit modelling using statistical tools.
• Strong verbal and written communication skills.

Responsibilities

• Build credit risk modelling, analytics, and reporting.
• Hire, train, and manage risk teams.
• Analyze key metrics to determine risk.

Skills

Analytical skills

Credit risk modelling

Data manipulation

Documentation delivery

Stakeholder engagement

Education

Undergraduate degree in an analytical discipline

Tools

R

Python

SAS

SQL

MS Excel

Job description

Responsibilities

• Build credit risk modelling, analytics and reporting for retail customers.
• Strategically hire, train, and manage risk teams.
• Partner with product team to determine how technology help to detect and reduce risk.
• Analyze key metrics to determine risk.
• Mentoring and supporting junior members of the team will be a key part of the role, in both technical data manipulation skills and documentation delivery.
• Maintain the credit model platform which is utilised by the team and expected to provide advice and guidance on ongoing efficiency gains and new credit modelling methodology.

Qualifications

• Have an undergraduate degree in an analytical discipline (e.g. maths, statistics), however other disciplines will be considered
• Have 3+ experience of working in credit / risk modelling for retail customers especially unsecured lending in bank or non bank
• Have significant experience of credit modelling using statistic tool such as R, Phyton SAS, SQL analytical tools or advanced MS Excel skills
• Have strong verbal and written skills that ensure you can explain technical concepts to less technically focused colleagues and produce suitable documentation
• Be organised, approachable, confident in engaging with stakeholders at all levels and a keen attention to detail
• Experience of reporting in a Financial environment.
• Experience and/or understanding of: data validation and verification techniques, advanced data manipulation techniques, development and production lifecycles, error handling, and automated reporting generation.