Credit Risk Modelling Specialist
3 weeks ago
Aspire Data Recruitment is seeking a skilled Credit Risk Analyst to join our team. The successful candidate will be responsible for designing, developing, and deploying state-of-the-art, data-driven predictive models to solve business problems using the latest technologies in data mining, statistical modeling, pattern recognition, and performance inference.
Key Responsibilities:- Design and develop data-driven exploratory analysis as well as predictive and decision models to solve business problems.
- Build and evaluate predictive and decision models to be deployed in production systems, or for research, including analysis of large amounts of historical data, determining suitability for modelling, data clean-up, pattern identification and variable creation, selection of sampling criteria and performance definition, and variable selection.
- Experiment with different types of algorithms and models, analysing performance to identify the best algorithms to employ.
- Assist with technical product support for new or existing products/services, including production of sales collateral or ad-hoc investigations initiated by internal or external clients.
- Plan effectively to set priorities and manage projects, identify roadblocks and work to get them removed, and understand the importance of meeting deadlines.
- Handle communication with internal and external clients as needed.
- Determine appropriate model report format for communication with clients.
- Participate in authoring white papers, proposals and publications.
- Mentor other scientists and assign modelling tasks when appropriate.
- A graduate, ideally with a mathematical or statistical degree (or a degree with a high level of quantitative, statistical or operational research content) or relevant experience.
- Experience with an analytic solutions or consulting company, and preferably in a client-facing project management capacity.
- Knowledge and experience in applying data to solve business problems through quantitative analysis, experience with predictive modelling and optimisation, and knowledge of the principles and practices of project management.
- Experience with credit risk model developments. Experience with fraud and marketing analytics a plus.
- Strong statistical, data processing and analytical skills.
- An excellent communicator with the ability to explain complex concepts and describe technical material to non-technical users.
- Knowledge of scoring technology and methodologies; model development techniques and tools; advanced statistical methods and quantitative analysis; statistical tools and programs; fluency in SAS, WPL, R, Python or other similar programming language.
Please send your CV or contact us for more information.
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