Latest Recruitments at Avenews

Key Responsibilities

• Credit Assessment & Underwriting
• Conduct credit analysis and evaluate financial data to assess the creditworthiness of clients.
• Provide risk-aligned inputs to support decision-making.
• Collaborate with account managers, customer care agents, and the sales team to validate borrower information and assess risk in business context.
• KYC Documentation
• Document verification to identify and prevent fraud.
• Verify the accuracy and completeness of client-provided information.
• Support the completion of KYC processes for both new and existing clients, ensuring compliance with regulatory requirements and internal policies.
• Portfolio Monitoring
• Monitor the loan portfolio to identify high-risk exposures and support ongoing loan reviews.
• Collaborate with Account Managers to ensure timely completion of periodic portfolio assessments.
• Policy, Process & Control
• Contribute to the enhancement of credit and risk policies.
• Help review loan documentation and ensure compliance with internal risk guidelines.
• Any other responsibility that will be assigned from time to time by the line manager.

Requirements

• Education: Bachelor’s degree in Finance, Economics, Statistics, or a related quantitative field.
• Experience: 2–3 years in credit analysis within a Bank, Microfinance (MFI), or Fintech environment; experience in Agri-lending is a plus.
• Financial Analysis: Expert ability to analyze financial statements and cash flow cycles to determine debt-service capacity.
• Technical Skills: Advanced proficiency in MS Excel & Spreadsheets.
• Regulatory Knowledge: Strong understanding of CBK Prudential Guidelines and the Data Protection Act.
• KYC & Compliance: Eye for detail to perform document verification, identify fraud red flags, and ensure 100% regulatory compliance.
• Soft Skills: Excellent communication and negotiation skills to collaborate with other team members on high-risk interventions.
• Portfolio Management: Proven track record in monitoring PAR buckets and implementing recovery strategies for under-performing loans and market segments.

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Responsibilities

• Data Ownership
• Build and maintain canonical tables (single, trusted tables for core concepts like leads, applicants, clients, loans, partners)
• Define and enforce data contracts (clear rules: field names/types, valid values, refresh times)
• Track lineage (document every metric/table and its design)
• Build Python scripts via Jupyter/API to overcome Zoho Analytics limitations and push processed data back to Analytics
• Source new data opportunities beyond current ~12 sources; propose novel data capture methods
• Dashboards and Reporting
• Ship BI assets (production-ready dashboards and scheduled reports that stakeholders actually use)
• Provide self-serve looks (safe, curated views so non-analysts can filter/pivot without SQL)
• Design dashboards for department heads and interdepartmental executive audiences
• Ensure dashboards serve real decision-making needs with strong usability
• GTM Analytics
• Report on funnel and portfolio performance, based on marketing, operational, and customer data captured in CRM and across various platforms
• Build channel/campaign views for marketing efforts, industries, and various company pipelines, including their CAC, payback, LTV, and attribution
• Design lift studies (test vs. control) to estimate true incremental impact
• Support monthly market expansion with segment-specific dashboards and insights
• Run ticket queue with SLAs, project/task scoping, set ETAs, communicate changes
• Deliver weekly exec/GTM reports with clear recommendations and coverage across Marketing, Sales, Customer Ops, Risk/Compliance, Finance departments
• SQL, Python, and Pipelines
• Write and tune SQL; build Python scripts
• Connect and troubleshoot APIs (including Zoho Analytics); set alerts and data quality tests; document runbooks
• Use dbt-style modeling and CI/CD: versioned SQL models, automatic tests on changes, and safe promotion to production
• Maintain automation inventory and progressively eliminate manual data workflows
• Data Quality & Validation Program
• Design and implement monthly audit methodology for CRM loan data (including principal, markup, repayment schedules, default interest, discounts)
• Coordinate with CRM Ops Engineer and QA Engineer on validation process and remediation workflow
• Build automated verification checks for core analytics tables (nulls, negative values, outliers)
• Run weekly automated checks and document results
• Monitor data anomalies in CRM-sourced tables and alert CRM Ops Engineer to integrity issues via established pipeline
• Own the error reporting and remediation workflow
• Strategic Growth & Automation
• Assess ad-hoc requests for recurring value
• Convert recurring insights into automated reporting (dashboards or weekly digest)
• Maintain automation inventory with improvement roadmap
• Present findings to stakeholders and institutionalize valuable recurring insights

Requirements

• Required Technical Skills: 3+ years in analytics/BI/analytics engineering with GTM-facing teams
• Advanced SQL (CTEs, window functions, query optimization, performance tuning)
• Strong Python for data tasks (pandas, data processing, API connections)
• Track record delivering production dashboards (Zoho Analytics experience strongly preferred)
• Marketing analytics expertise: funnel modeling, attribution, CAC/LTV analysis, campaign performance
• Hands-on with REST APIs and job orchestration (scheduling/managing data pipeline execution order)
• Experience building data validation and quality assurance programs

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• We're looking for a passionate Senior Fullstack Developer with 5+ years of experience who thrives on building robust, scalable applications and genuinely loves what they do. You'll be part of a senior development team working in an agile environment (2-week sprints), focusing on scaling our existing web and mobile applications while maintaining legacy code. This is a role for someone who wants to continuously learn and grow.

Responsibilities

• Frontend Requirements
• Angular 10+ with strong preference for Angular 13+ experience
• Experience with both standalone components and NgModules
• Ionic 8 for mobile development (minimum basic proficiency required)
• Working knowledge of NX monorepo (strong plus, but not required)
• Figma collaboration and working with UI component libraries
• Deep understanding of component architecture and design systems
• Pixel-perfect implementation with attention to UI/UX details
• Responsive Mobile-first UI
• Backend Requirements
• NestJS framework expertise
• Strong MongoDB skills including complex aggregation pipelines and query optimization
• SQL database experience
• Building and maintaining integrations with financial APIs and third-party services
• Roles & permissions systems implementation
• JWT authentication and security best practices
• Docker
• Writing efficient, clean, optimized code
• Unit testing and maintaining code quality
• Cloud & DevOps
• AWS experience is essential, particularly:
• AWS Lambda
• ECS (Elastic Container Service)
• Other core AWS services
• Understanding of cloud architecture and best practices

Requirements

• System design thinking - ability to plan and architect features end-to-end
• Strong code review skills and self-QA discipline before creating pull requests
• Ownership mentality and attention to detail
• Someone who takes pride in writing maintainable, well-structured code
• Passion for fullstack development and genuine desire to learn and grow
• Comfortable working with legacy code
• Team player who thrives in an agile environment
• Flexibility - being able to work on multiple different projects and technologies

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Responsibilities

• Product Copywriting
• Develop clear and concise product messaging across funnels and touchpoints.
• Write product feature explanations, customer value messaging, and product release content.
• Support UX/UI teams with microcopy for flows and customer journeys.
• Growth-Focused Copywriting
• Work hand-in-hand with the Growth Manager to create copy that increases acquisition and retention.
• Draft and optimize copy for paid campaigns, A/B tests, and conversion-focused landing pages.
• Tailor messaging for different customer segments, value chains, and product stages.
• Marketing & Brand Content
• Write landing pages, campaign pages, and marketing collateral (brochures, one-pagers, presentations).
• Develop clear and compelling advertising copy for digital and traditional ads.
• Create blog posts to strengthen education, relevance, and brand positioning.
• Ensure consistent brand tone, messaging, and clarity across all communications.
• Inbound & Customer Communications
• Develop SMS, WhatsApp, chatbot scripts, and automated customer communications.
• Write newsletters to improve customer awareness and engagement.

Requirements

• 3–5 years of professional copywriting experience (agency, in-house, fintech, agriculture,, or service sector preferred).
• Strong portfolio demonstrating versatility across digital and traditional formats.
• Ability to simplify complex concepts for diverse audiences.
• Experience writing in multiple tones and formats: product, growth, advertising, SMS, blog, collateral, etc.
• Understanding of performance-driven copy (for growth and conversion).
• Excellent command of English; Swahili proficiency is an advantage.
• Organized, detail-oriented, and able to manage high output in a fast-paced environment.

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Responsibilities

• Acquire new customers through structured field visits and product presentations.
• Convert leads into complete, compliant loan applications.
• Activate and commercialize partner networks: agro-dealers, distributors, cooperatives, aggregators, etc.
• Guide customers in preparing accurate documentation and reduce application errors.
• Execute field ambassador duties during activations, trainings, and market engagements.
• Track and report pipeline performance, conversion rates, and market insights.
• Support loan activation and repeat usage initiatives in collaboration with operations teams

Requirements

• Diploma or degree in Business, Marketing, Agribusiness, or related field.
• 1–3 years of field sales experience in fintech, microfinance, FMCG, or agribusiness.
• Strong documentation and customer engagement skills.
• Ability to work with CRMs and digital tools.
• Willingness to travel extensively and be in the field daily.

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Responsibilities

• Social Media Creation, Management & Execution
• Develop, manage, and grow Avenews’ social media channels, with a strong focus on launching and scaling TikTok.
• Strengthen organic presence on Facebook, LinkedIn, Instagram, TikTok, and YouTube.
• Create platform-specific content that fits each channel’s format, audience, and engagement style.
• Plan and manage content calendars aligned with the brand strategy and field activity plans.
• Identify trends, new formats, and early opportunities to increase visibility and engagement.
• Content Creation (Video + Visual + Copy)
• Produce short-form videos, interviews, behind-the-scenes content, educational clips, and storytelling pieces.
• Capture and edit content during field trips, events, trainings, activations, and customer visits.
• Maintain consistent brand tone, voice, and visual style in collaboration with the Branding Manager.
• Optimize posts for reach, engagement, and relevance across platforms.
• Digital Community Building
• Lay the foundation for Avenews’ digital community across platforms.
• Engage with followers by responding to comments, messages, and mentions.
• Spark conversations that build trust, interest, and loyalty.
• Identify opportunities to collaborate with micro-influencers or customer ambassadors.
• Real-Time Engagement & Event Activation
• Provide real-time social coverage during field events, workshops, activations, expos, and conferences.
• Work closely with Field Officers and Customer-facing departments to capture live content and stories.
• Turn real-world moments into digital content that reflects the brand and the communities we serve.
• Performance Tracking & Reporting
• Monitor social media performance, content engagement, and community growth.
• Identify top-performing content and areas for improvement.
• Provide regular insights and recommendations to the Branding Manager and the broader team.

Requirements

• 2–4 years of experience in social media management, content creation, or digital marketing.
• Proven experience with short-form video creation (TikTok, Instagram Reels, or YouTube Shorts).
• Strong video editing and mobile content capture skills.
• Understanding of the Kenyan social media landscape and content trends.
• Prior experience managing brand social accounts (fintech, agriculture, FMCG, or services preferred).
• Strong writing skills with the ability to adapt tone per platform.
• Willingness to travel for field-based content creation.
• Creative, proactive, organized, and comfortable in a fast-paced environment.

go to method of application »

Responsibilities

• Data Ownership
• Build and maintain canonical tables (single, trusted tables for core concepts like leads, applicants, clients, loans, partners)
• Define and enforce data contracts (clear rules: field names/types, valid values, refresh times)
• Track lineage (document every metric/table and its design)
• Build Python scripts via Jupyter/API to overcome Zoho Analytics limitations and push processed data back to Analytics
• Source new data opportunities beyond current ~12 sources; propose novel data capture methods
• Dashboards and Reporting
• Ship BI assets (production-ready dashboards and scheduled reports that stakeholders actually use)
• Provide self-serve looks (safe, curated views so non-analysts can filter/pivot without SQL)
• Design dashboards for department heads and interdepartmental executive audiences
• Ensure dashboards serve real decision-making needs with strong usability
• GTM Analytics
• Report on funnel and portfolio performance, based on marketing, operational, and customer data captured in CRM and across various platforms
• Build channel/campaign views for marketing efforts, industries, and various company pipelines, including their CAC, payback, LTV, and attribution
• Design lift studies (test vs. control) to estimate true incremental impact
• Support monthly market expansion with segment-specific dashboards and insights
• Run ticket queue with SLAs, project/task scoping, set ETAs, communicate changes
• Deliver weekly exec/GTM reports with clear recommendations and coverage across Marketing, Sales, Customer Ops, Risk/Compliance, Finance departments
• SQL, Python, and Pipelines
• Write and tune SQL; build Python scripts
• Connect and troubleshoot APIs (including Zoho Analytics); set alerts and data quality tests; document runbooks
• Use dbt-style modeling and CI/CD: versioned SQL models, automatic tests on changes, and safe promotion to production
• Maintain automation inventory and progressively eliminate manual data workflows
• Data Quality & Validation Program
• Design and implement monthly audit methodology for CRM loan data (including principal, markup, repayment schedules, default interest, discounts)
• Coordinate with CRM Ops Engineer and QA Engineer on validation process and remediation workflow
• Build automated verification checks for core analytics tables (nulls, negative values, outliers)
• Run weekly automated checks and document results
• Monitor data anomalies in CRM-sourced tables and alert CRM Ops Engineer to integrity issues via established pipeline
• Own the error reporting and remediation workflow
• Strategic Growth & Automation
• Assess ad-hoc requests for recurring value
• Convert recurring insights into automated reporting (dashboards or weekly digest)
• Maintain automation inventory with improvement roadmap
• Present findings to stakeholders and institutionalize valuable recurring insights

Requirements

• Required Technical Skills: 3+ years in analytics/BI/analytics engineering with GTM-facing teams
•  Advanced SQL (CTEs, window functions, query optimization, performance tuning) – Strong Python for data tasks (pandas, data processing, API connections)
• Track record delivering production dashboards (Zoho Analytics experience strongly preferred)
• Marketing analytics expertise: funnel modeling, attribution, CAC/LTV analysis, campaign performance
• Hands-on with REST APIs and job orchestration (scheduling/managing data pipeline execution order)
• Experience building data validation and quality assurance programs

go to method of application »

Responsibilities

• Lead, coach, and supervise Sales Officers to ensure daily productivity and disciplined execution.
• Set territories, manage weekly circuits, and ensure full partner ecosystem coverage.
• Drive partner commercialization: visits, activations, trainings, and ongoing engagement.
• Review loan applications for completeness, quality, and compliance before submission.
• Track conversion metrics, identify bottlenecks, and ensure a healthy sales pipeline.
• Oversee structured field circuits aligned to value-chain activity and partner demand cycles.
• Coordinate with BD, Marketing, and Customer Ops on partner handovers, activations, and documentation quality.
• Enforce field compliance, reporting discipline, and accurate documentation.
• Prepare weekly and monthly performance reports, escalating risks early.

Requirements

• Diploma or degree in Business, Marketing, Agribusiness, Finance, or related field.
• 3+ years’ experience in field sales, preferably fintech, microfinance, FMCG, or agribusiness.
• At least 1–2 years of experience managing field teams.
• Strong understanding of B2B and partner-driven environments.
• Proficiency with CRMs and digital field tools; willingness to travel extensively.

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Responsibilities

• Identify, map, and prioritize potential partners across value chains.
• Build and manage a structured pipeline based on commercial viability.
• Conduct due diligence, collect documentation, and prepare partner onboarding dossiers.
• Develop activation plans and support Sales teams in early commercialization.
• Track partner performance, bottlenecks, and business generation.
• Support partner trainings, field events, demos, and activations.
• Provide market intelligence on value-chain trends, competition, pricing, and behavior.
• Collaborate with BD, Sales, Marketing, Customer Ops, and Product teams to ensure seamless partner lifecycle management.

Requirements

• Diploma or degree in Agribusiness, Business, Marketing, Finance, or related field.
• 2+ years in business development, partnerships, agribusiness, distribution, or microfinance.
• Strong understanding of value chains and partner ecosystems.
• Experience in due diligence, documentation, and stakeholder engagement.
• Strong analytical ability and commercial acumen.
• Willingness to travel extensively.

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Responsibilities

• Conduct pre-disbursement KYC visits to validate customer and business information.
• Ensure documentation completeness and seamless handover for disbursement.
• Serve as the primary point of contact for client engagement post-disbursement.
• Drive repayment follow-up, arrears management, and collections discipline.
• Prevent churn by maintaining active customer engagement and early risk detection.
• Drive renewals, top-ups, and cross-sell opportunities across Avenews’ products.
• Track utilization, repayment trends, and customer behavior to inform interventions.
• Generate accurate reports on portfolio status, risks, and customer satisfaction.

Requirements

• Bachelor’s degree in Finance, Business, Agribusiness, or related field.
• Minimum 2 years’ experience in account management, credit operations, or SME financing.
• Strong understanding of credit processes and CBK regulatory expectations.
• Proven track record in relationship management and collections.
• Excellent communication, negotiation, and analytical skills.

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• We're looking for a passionate Machine Learning Engineer or Data Scientist who is excited about building predictive models that have real-world impact in fintech. You'll work on developing and improving credit risk models, particularly probability of default (PD) models, while aggregating and analyzing data from multiple sources. This is a role for someone who loves working with data, is curious about machine learning, and wants to continuously learn and grow.

Responsibilities

• Building and improving probability of default (PD) models for credit assessment
• Aggregating and processing data from multiple sources (MongoDB, SQL databases, APIs, external data providers)
• Designing and implementing end-to-end ML pipelines including data collection, preprocessing, feature engineering, model training, and deployment.
• Developing data pipelines to collect, clean, and transform data for modeling
• Working with financial data and credit scoring systems
• Creating features and performing feature engineering for ML models
• Evaluating model performance and iterating improvements
• Collaborating with the development team to integrate models into production
• Conducting research and experimentation with advanced ML techniques such as ensemble methods, deep learning, and time-series forecasting for credit risk prediction.

Requirements

• 3-5 years of experience in machine learning, data science, or a related quantitative field
• Strong Python experience (this is essential)
• Experience with machine learning frameworks - Required: scikit-learn, XGBoost, LightGBM; Nice to have: TensorFlow, PyTorch, Keras
• Experience with credit risk modeling is a strong plus but not mandatory
• Experience working with multiple data sources and data integration
• Familiarity with APIs - both consuming and building them
• Knowledge of statistical analysis and model evaluation techniques
• Experience with data manipulation libraries (pandas, numpy)
• Understanding of databases - Must-have: MongoDB, PostgreSQL; Nice to have: MySQL, Redis
• Knowledge of data versioning, model versioning, and MLOps pipelines is a plus