Risk Analytics-Mid Level Hiring
- Targeting professionals who have gained experience through exposure in Challenging Role & having exceptional combinations of anlytics skills/tools are eligible to apply.
- Professionals who can be a value add to a System practicing advanced analytic in industry.
The Company :
- This position sits in the Credit Risk function of this growing lending company. You'll be supporting the Credit Risk Manager in a wide range of activities including arrears / impairment modeling, scoring and Modeling etc.
The Role :
- Develop/Maintain/Update innovative analytic tools and methodologies for credit scoring applications, optimizing marketing campaigns, testing for fraud and id verification's etc.
- Liaise with underwriters to identify/understand potential areas of improvement in credit scoring and assessing applications.
- Carry out ad hoc analysis on data and provide effective business insight from the findings of the analysis.
- Propose innovative solutions to problems faced by the business which relate directly to the team.
- Take data through the full cycle from processing, modelling and providing business insight to product design and implementation.
- Working to ensure that the Loan Data Warehouse holds a complete set of loan and transactional data, which will enable the accurate reporting of the Company's loan portfolio
- Provide weekly and monthly management information reporting packs for Executive Management and the Board relating to credit risk performance, roll rates and impairment
Your Skills & Experience :
- Ideally a Bachelor's degree in quantitative related field required and/or a Master Degree in Data Science, Statistics, Mathematics, Engineering, Computer Science or related field.
- Experience in R or Python or Machine Learning is must
- Demonstrated proficiency in predictive modeling.
- Proven problem-solving skills and analytical approach to problems.
- Ideally 3+ years' experience in risk analysis and reporting gained at a leading Financial consulting firm or a bank or any financial institution.
- Significant experience gained in a unsecured lending credit risk department is plus
- Knowledge of developing impairment models
- Credit risk modelling and/or scorecard development would be desirable
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