Data Scientist/Quantitative Analyst

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Hire Resolve are currently seeking candidates for their open Data Scientist/Quantitative Analyst position in null, KwaZulu-Natal through Go Job Search. Are you an experienced candidate looking to take up a Data Scientist/Quantitative Analyst role such as with an industry leading company like Hire Resolve?

Overview Data Scientist/Quantitative AnalystAn industry-leading company located in La Lucia, KwaZulu-Natal is currently seeking the expertise of an experienced Data Scientist/Quantitative Analyst.Key PurposeTo develop, manage and monitor advanced and relevant predictive models, to provide advanced analytical support to business units, to critically analyze and advise the business on data-driven value adds, and create and maintain accurate data, dashboards, and management reports.Key Outcomes Model Development• Development of new predictive models in line with business requirements.• Successful deployment of predictive models.• Engagement with key stakeholders around business requirements for modelsModel Management• Manage monthly monitoring and regular updates of existing predictive models.• Prepare analysis/commentary for model management meetings.• Reporting to 3rd party funders on model management.• Ensure the model management process is conducted according to the policies defined.• Interrogate existing models and identify possible red flags• Research the latest model building methodologiesData Analytics to support business needs• Ad-hoc analytics/data science projects as required by business• Monthly analysis of key credit risk areas (loss control/credit)• Assist in building the Data science capabilities of the analytics team• Proactive business engagement to understand the analytical requirement• Proactive feedback to the business on value-added data-driven analytics• AutomationData development and maintenance• Assist and advise on creating and maintaining data in an optimal manner Minimum RequirementsEducation Honours degree in Statistics/MathematicsPreferred – Master’s Degree in Statistics/Mathematics Experience 2-5 years experience in scoring system development and credit risk analytics (retail)Preferred: 5-8 years of experience in scoring system development and credit risk analytics (retail) – 2 of which are at senior level Preferred Industry – Financial / Credit risk analyticsSkillsTechnical (at least some of the below skills will be necessary) SQL codingAdvanced ExcelPython (advantageous)Denodo (advantageous)SAS (advantageous)Predictive modelling or financial modellingMachine learning (advantageous)Exposure to IFRS9 modelling (highly advantageous)Ability to work with large amounts of data Generic competencies Analytical, critical and logical thinkerUnderstands the need for data-driven decisionsAbility to read and assimilate a specification of data requirementsProactive personalityTolerance to changeAttention to detailAccountability and ownership of work tasksSelf-motivatedAbility to work within a team and as an individualComply with project management protocolEnthusiasm/interest in credit risk managementSense of humourResilienceTenacityAbility to work under pressureGood time management.

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Tagged as: Data Scientist/Quantitative Analyst