M-KOPA

Several years in roles with significant analysis components
Strong analytical skills, including the ability to conduct your own analysis of unstructured data
Ability to write your own SQL queries and source your own data sets
Proven ability in solving ambiguous / high-level analytical problems
Strong data communication skills — written, oral, and visual
Ability to work with diverse, distributed teams across multiple countries
Strong interpersonal and collaboration skills
(Nice to have) Experience with data science models

💡 Responsibilities

Analysing M-KOPA’s repayments data and other data to continuously improve our loan eligibility criteria
Developing new loan offers and pricing based on customer demand and credit analysis
Monitoring the credit performance of your loans to identify where we need to adjust eligibility criteria and/or pricing
Testing the predictiveness of new data sets for the purposes of eligibility criteria
Testing new types of loans to understand customer demand and credit performance
Working with engineers to implement changes to our eligibility criteria
Working with data scientists to leverage machine learning models as part of loan eligibility decisions

Posted 1 day ago

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🔥 Senior People Partner (UK & International)

Posted 7 days ago

📍 UK, Europe, Kenya, South Africa, Nigeria, Uganda, Ghana

🧭 Full-Time

🔍 FinTech

🔧 Requirements

Proven background in HR, particularly in remote tech environments
Strong stakeholder management
Innovative thinking, Talent- & Data-Minded
Adaptability
Experience with Business Partnering, Talent Development
Understanding of Performance & Engagement Cycles

💡 Responsibilities

Supporting and developing people
Aligning HR strategies with company goals and values
Partnering with business units
Creating and refining people processes
Implementing talent strategies
Leading high profile projects
Coaching leaders
Problem-solving global people challenges

LeadershipProject ManagementData AnalysisPeople ManagementHR ManagementCommunication SkillsCoachingAdaptabilityProblem-solving skillsStakeholder managementStrategic thinkingChange Management

Posted 7 days ago

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🔥 Senior Analytics & MLOps Platform Engineer

Posted 8 days ago

📍 UK, Europe, Africa

🧭 Full-Time

🔍 Fintech

🔧 Requirements

Experience managing machine learning infrastructure in production
Working with infrastructure-as-code tools such as Azure Bicep, Terraform, ARM, CloudFormation or similar
Good practical experience in data engineering
Experience with Kubernetes or other platforms for containerized applications
Working with orchestration systems such as Apache Airflow
Proficiency in programming languages (Python, C#, Java, etc.)
Certification in Azure Solutions Architect Expert or similar

💡 Responsibilities

Designing and implementing architectures to streamline exploration, training, deployment and monitoring of machine learning models.
Building and maintain CI/CD pipelines to deploy machine learning models into production, ensuring scalability, reliability, and continuous performance monitoring with automated retraining workflows.
Implementing version control for models and feature sets to ensure reproducibility, traceability, and compliance with best practices.
Automating and managing infrastructure for data pipelines, machine learning model training, and serving using Azure and infrastructure-as-code tools.
Establishing infrastructure and engineering patterns to feature engineering and reuse across suite of models.
Developing workflows for model validation, testing, and deployment, fully integrated with CI/CD systems, while enhancing resource utilization, to enable distributed processing, and optimize workflows for scalability, including GPU/TPU acceleration.

PythonApache AirflowKubernetesMachine LearningMLFlowAzureData engineeringCI/CDTerraformData analytics

Posted 8 days ago

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