Open Positions at IDC

QUALIFICATIONS

• Bachelor’s degree in information management, data science, or a related field.
• Master’s degree will be added advantage

KNOWLEDGE AND EXPERIENCE

• 5-8 years relevant experience as an information Specialist.
• Experience in managing and organizing large datasets, preferably in a monitoring and evaluation context.
• Strong and proven data analytical skills, critical thinking and a passion for big data
• 3 to 5 years SAP end user experience and proven experience in a data-related or business intelligence position.
• Proficiency in data mining business intelligence tools (Power BI), data processing frameworks and report writing
• Knowledge of data management principles and best practices.
• Familiarity with monitoring and evaluation frameworks and indicators.
• Proficiency in data visualisation tools and software.
• Proficiency in data analysis and visualisation tools.
• Experience and knowledge in using information management systems and technologies.
• Experience and familiarity with data protection and privacy regulations.

Roles and Responsibilities

• Complex system analysis: Ability to draw information from various sources to inform analysis
• Data Management: Developing and maintaining efficient systems for data collection, storage, and retrieval, ensuring data quality, integrity, and security.
• Stakeholder management: Facilitating the sharing of monitoring and evaluation findings, reports, and best practices with internal stakeholders, promoting a culture of learning and knowledge exchange.
• Knowledge sharing: Preparing and distributing regular updates, newsletters, and knowledge products related to monitoring and evaluation, ensuring timely and relevant information reaches key stakeholders.
• Technology and Tools: Exploring and implementing innovative technologies and tools to enhance data collection, analysis, and reporting processes, increasing efficiency and effectiveness.
• Collaboration and Support: Collaborating with the monitoring and evaluation team members to provide technical support, troubleshoot issues, and ensure the smooth functioning of information systems.

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QUALIFICATIONS:

• Post-graduate qualifications in a Quantitative discipline such as Mathematics, Statistics, Econometrics (Masters and/or Hons degree).
• Professional certifications such as CFA, FRM, PRMIA-PRM, or equivalent are highly advantageous.

KNOWLEDGE AND EXPERIENCE:

• 8 - 10 years’ work experience in risk modelling or a similar role in a Financial Institution.
• Excellent programming skills in SQL/SAS/Python and a thorough understanding and application of Microsoft suite of products (such as Excel etc.)
• Knowledge and understanding of portfolio credit risk management.
• Knowledge of Model building and interpretation to minimise risk and/or maximise development returns/revenue.
• Exceptional leadership capabilities, with a proven track record of playing a leadership role in high-performing teams.
• Strong stakeholder management skills, with the ability to influence and collaborate across all levels of the organisation.
• Excellent communication and presentation skills, capable of translating complex risk findings into actionable insights.
• Ability to anticipate and manage emerging risks in a dynamic financial landscape.
• Integrity and ethical decision-making.

Roles and Responsibilities

• Developing a range of quantitative Rating and Pricing models including, among others, Probability of Default (PD), Loss Given Default (LGD) and Exposure to Default (EAD).
• Development of differentiated, superior solutions (solutions engineering) that meet stakeholder and business requirements.
• Lead in the Validation of the performance of existing quantitative risk models and recommend changes.
• Service and interact with internal and external stakeholders.
• Participate in and influence Portfolio Reporting from a Quantitative perspective.
• Provide training to end users on both model usage and comprehensive understanding
• Management and maintenance of the IFRS 9 ECL model.
• Champion the application of model innovation, research of new approaches and challenge existing methodologies.
• Participate in preparing specifications, preparing for and executing testing, implementation, and documentation, data validation of models.
• Develop an understanding of data and make recommendations to resolve data integrity issues.
• Research into best practices regarding the development, maintenance, and use of statistical and behavioral scorecards.
• Use understanding of regulatory framework (incl. Capital framework / Basel III/IV) to inform business strategy and decisions (capital allocation);
• Monthly / Quarterly portfolio reporting to appropriate Executive Committees and Board Sub-Committees.