Analyst - Artificial Intelligence & Machine Learning (AI/ML) at Confidential Employer – Harare
Employer: Confidential Employer | Location: Harare | Category: Information Technology (IT)
Job Description
An Organisation in the financial sector is seeking an analyst - artificial intelligence & machine learning (ai/ml) who can design and optimise advanced statistical and machine-learning models that predict risks, enhance operational efficiency and prevent losses. By augmenting human judgment, the role translates data into actionable, high-value decisions that strengthen monetary policy analysis, financial stability monitoring, banking supervision and operational decision-making, while maintaining ethical and responsible use of AI.
Principal Accountabilities:
* Leads IT and digital transformation projects throughout the full project lifecycle, ensuring effective delivery from initiation to closure and post implementation review.
* Develops and maintains project plans, schedules, budgets, resource plans, governance documents and delivery roadmaps in line with the Organisation's project management framework.
* Applies appropriate predictive, Agile or hybrid project methodologies and serve as Scrum Master for assigned Agile initiatives.
* Monitors project scope, timelines, budgets, quality, risks, issues and benefits, implementing corrective actions and escalating material variances where necessary.
* Facilitates project governance through Project Boards, Steering Committees and stage-gate reviews, ensuring decisions, actions, risks and dependencies are properly tracked.
* Maintains RAID logs and coordinates cross-functional, vendor, technology and regulatory dependencies to support effective project delivery.
* Ensures project deliverables meet approved quality, acceptance, cybersecurity, data protection, business continuity, regulatory and architecture requirements.
* Manages project financials, procurement requirements, resource forecasts and vendor performance, including expenditure and cost variance monitoring.
* Coordinates benefits realisation, project transition, handover, closure and post-implementation reviews to assess outcomes and realised benefits.
Principal Accountabilities:
* Leads IT and digital transformation projects throughout the full project lifecycle, ensuring effective delivery from initiation to closure and post implementation review.
* Develops and maintains project plans, schedules, budgets, resource plans, governance documents and delivery roadmaps in line with the Organisation's project management framework.
* Applies appropriate predictive, Agile or hybrid project methodologies and serve as Scrum Master for assigned Agile initiatives.
* Monitors project scope, timelines, budgets, quality, risks, issues and benefits, implementing corrective actions and escalating material variances where necessary.
* Facilitates project governance through Project Boards, Steering Committees and stage-gate reviews, ensuring decisions, actions, risks and dependencies are properly tracked.
* Maintains RAID logs and coordinates cross-functional, vendor, technology and regulatory dependencies to support effective project delivery.
* Ensures project deliverables meet approved quality, acceptance, cybersecurity, data protection, business continuity, regulatory and architecture requirements.
* Manages project financials, procurement requirements, resource forecasts and vendor performance, including expenditure and cost variance monitoring.
* Coordinates benefits realisation, project transition, handover, closure and post-implementation reviews to assess outcomes and realised benefits.
Requirements & Qualifications
* Degree in a quantitative discipline (statistics, mathematics, computer science, data science, econometrics, engineering, actuarial science or related); a postgraduate qualification is an added advantage.
* Minimum of 3 years' experience in data science, analytics or machine learning, or quantitative modelling.
* At least one certification in Azure AI engineer, Databricks Certified ML professional, Google Professional ML engineer, AWS Certified ML Engineer, TensorFlow, PyTorch, Python, Big Data or any vendor specific ML/AI certification.
* Demonstrable track record of taking models from concept through validation to a used, monitored output.
* Demonstrated experience designing and deploying production-grade AI/ML models in a financial services, central banking or regulatory environment.
* Hands-on expertise with some of the following data technologies (Hadoop, Spark, Kafka, Airflow), cloud platforms (AWS, Azure, GCP) and ML frameworks (TensorFlow, PyTorch, scikit-learn).
* Experience in financial services (risk, fraud, AML, forecasting) is highly desirable.
* Minimum of 3 years' experience in data science, analytics or machine learning, or quantitative modelling.
* At least one certification in Azure AI engineer, Databricks Certified ML professional, Google Professional ML engineer, AWS Certified ML Engineer, TensorFlow, PyTorch, Python, Big Data or any vendor specific ML/AI certification.
* Demonstrable track record of taking models from concept through validation to a used, monitored output.
* Demonstrated experience designing and deploying production-grade AI/ML models in a financial services, central banking or regulatory environment.
* Hands-on expertise with some of the following data technologies (Hadoop, Spark, Kafka, Airflow), cloud platforms (AWS, Azure, GCP) and ML frameworks (TensorFlow, PyTorch, scikit-learn).
* Experience in financial services (risk, fraud, AML, forecasting) is highly desirable.
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