Job Post: Machine Learning Modeler

• **Hands-on experience in building and deploying application scorecards (preferably lending business) using some of the latest machine learning models.

• Work on modelling projects/unstructured problems, look at providing solutions that go beyond traditional methods using advanced machine learning technologies and new data sources.

• Develop next-gen modelling capabilities to deliver the best-in-class predictive modelling solutions.

• Apply innovative analytical techniques to customer and transaction data to build risk mitigation strategies and processes.

• Liaising internally with risk managers, including explaining model outputs, performing ad-hoc analysis, and answering technical or background questions on the models and requirements.

• Develop and manage scoring models.

• Define, analyse, implement, and monitor credit risk strategies. Must have the capability to clearly communicate analysis.

• Effectively provide updates and communicate key initiatives to senior management.

Qualifications:

• Degree in Statistics, Physics, Applied Mathematics, Operations Research, Econometrics, Engineering, or other quantitative discipline.

• 1-4 years of work experience, with 1 years of experience in an analytical capacity required.

• Self-starter with natural networking skills.

• Team player with strong work ethic and the willingness and ability to adapt in a fast paced, start-up environment.

• Working experience and knowledge of Partner ecosystem, practice areas, competencies, offerings including selling, pricing, and understanding selling incentives.

• Experience developing partner programs and support infrastructure with proven success in delivering Go-To-Market strategies and results.

• Strong executive presence, ability to manage up and experience presenting at the executive level.

• Excellent oral and written communication skills and the ability to persuasively articulate Slaloms value as a partner.