OMF Quantitative Analyst (Decision Scientist) at Old Mutual

Job Description

• Old Mutual Finance is currently seeking to hire a OMF Quantitative Analyst (Decision Scientist). The successful candidate is individually accountable for designing, producing, analysing and documenting a range of predictive models across the entire credit life cycle. The successful incumbent will report to the OMF Head of Model development. 

Your key responsibilities will include:

• Keeping clear and concise code pertaining to data extraction, preparation, and model development.
• Building and maintaining strong relationships with business stakeholders across the Credit Lifecyle.
• Providing project specific insights to main stakeholders on a regular basis.
• Providing business insights to stakeholders on an ad-hoc basis.
• Linking model performance with portfolio performance. Understanding what impact degradation\improvement in model performance has on the business.
• Analysing reasons for general movements and shifts in the portfolio, in an attempt to prevent portfolio deterioration. Creating propensity models to prevent these negative shifts.
• Maintaining detailed technical documentation pertaining to all models developed.
• Maintaining adequate technical documentation regarding the modelling methodologies used in the model development process.
• Assisting with the governance process to obtain approval for new and enhanced models at technical committees and model approval committees.
• Presenting of analytical results and proposals to both technical and non-technical committees and providing commentary as required.
• Continuously seeking ways to improve the modelling methodologies, keeping in mind any\all imposed limitations within the credit lifecycle.
• Supporting junior team members and conducting knowledge sharing sessions within the team, and greater analytical team, when necessary.

Minimum Requirements:

• ​Degree with Stats/Math/Applied Maths/Financial Risk Management/Data Science/Engineering/Computer Science or related disciplines.
• SQL proficiency.
• R or Python proficiency.
• Exposure to extracting data from databases is compulsory.
• Exposure to bureau data is advantageous.
• Minimum 3 years’ experience in building scoring or predictive models
• Responsible for complex modelling calculations and analysis. Designs, constructs and documents appropriate models across the organisation. Continuously researches and assesses new processes for model development and enhancement

Responsibilities

• Data Collection and Analysis
• Use data from a wide range of sources to analyze key themes and identify possible impacts on the business.
• Data Exploration
• Conduct research and select relevant information to enable analysis of key themes and trends using primary data sources and business intelligence tools.
• Advanced and Predictive Analytics
• Run advanced and predictive analyses and perform model assessments, validation, and enhancement activities, using predictive analytics' software tools and functionalities.
• Risk Scenario Modeling
• Analyze, assess, and quantify the risks associated with products, individual applications, business activities, and the market to determine whether any risk is within the agreed risk appetite. Undertake tactical risk modeling.
• Insights and Reporting
• Prepare and coordinate the completion of various data and analytics reports.
• Information and Business Advice
• Provide specialist advice on the interpretation and application of policies and procedures, resolving queries and issues and referring very complex or contentious issues to others.
• Business Performance Metrics
• Lead projects or area within the realm of business performance metrics involving identification, development, and tracking of key performance indicators.
• Operational Compliance
• Maintain and renew a deep knowledge and understanding of the organization's policies and procedures and of relevant regulatory codes and codes of conduct, and ensure own work adheres to required standards. Or identify, within the team, patterns of noncompliance with the organization's policies and procedures and with relevant regulatory codes and codes of conduct, taking appropriate action to report and resolve these and escalating issues as appropriate.
• Personal Capability Building
• Develop own capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching; gain or maintain external professional accreditation, where relevant, to improve performance and fulfill personal potential. Maintain an in-depth understanding of technology, external regulation, and industry best practices through ongoing education, attending conferences, and reading specialist media.

Competencies

• Business Insight
• Cultivates Innovation
• Manages Complexity
• Optimizes Work Processes
• Situational Adaptability
• Strategic Mindset

Education

• Bachelors Degree (B)  (Required)

Closing Date

• 25 January 2025 , 23:59