PR/094556 | Risk Manager (BNPL) - Open for expat

Company and Job Overview

JAC's client is a BNPL company seeking for a Credit Risk Assessment Manager with a strong background in statistical analysis, data analytics, and anti-fraud strategies. This role is pivotal in leading the assessment of credit risks for private individuals using BNPL services, utilizing advanced statistical techniques and methodologies.

Job Responsibilities

• Credit Risk Assessment Strategies for Individuals: Develop and implement effective strategies to assess and manage credit risks for private individuals using BNPL services.

• Statistical Analysis and Predictive Modeling for Personal Risk: Utilize strong statistical and data analytics skills to analyze personal financial data, create predictive models, and derive actionable insights for effective individual credit risk assessment.

• Anti-Fraud Expertise for Personal Risk Mitigation: Apply deep knowledge of the anti-fraud field to personal risk assessments, contributing to fraud prevention efforts for individual customers.

• Personalized Credit Policy Development: Develop and refine credit policies based on statistical findings and anti-fraud measures, focusing on the unique aspects of individual credit risk.

• Industry Trends and Best Practices for Personal Risk Management: Stay updated on industry trends, emerging technologies, and best practices in statistical and data analytics for credit risk management and anti-fraud measures, particularly related to personal risk assessment.

Job Requirements

• A bachelor’s degree in a relevant field is required. 

• An advanced degree or professional certification in risk management, or a degree in Statistics, is advantageous.

• Proven experience in credit risk assessment with a focus on private individuals, strong statistical analysis, data analytics, and a deep understanding of the anti-fraud field.

• Expertise in using statistical models and data analytics tools (R, Python, SAS…) to derive insights, inform credit risk decisions, and enhance anti-fraud measures specifically tailored to personal risk.

• Excellent communication skills and the ability to present complex statistical findings to non-technical stakeholders.

• Strong leadership skills and the ability to work collaboratively in a team environment.

• Fluency in English.