Career Opportunities at Pezesha

Position Overview:

We are seeking a highly skilled Consultant with expertise in Flask application development and fraud detection systems. The Consultant will lead the enhancement and optimization of our Flask-based application, ensuring its robustness, security, and scalability. Additionally, the Consultant will review and improve fraud detection systems and processes to ensure seamless integration with the platform. This role will involve detailed code reviews, iterative development, and providing strategic recommendations for improving both the application and fraud detection models.

Flask Application Development

• Conduct a thorough audit of the current Flask-based application architecture and codebase.
• Ensure the Flask platform’s robustness, security, scalability, and performance.
• Perform detailed code reviews, identify inefficiencies, and provide recommendations for optimization.
• Implement best practices for Flask development, ensuring the platform is maintainable, efficient, and secure.
• Collaborate with internal teams to iterate and update the application based on feedback and business needs.
• Manage and optimize infrastructure for the Flask application to support real-time data processing and monitoring.
• Conduct workshops and training sessions to improve internal team expertise in Flask development and secure coding practices.

Fraud Detection Systems and Processes

• Review and audit existing fraud detection systems, tools, and processes to identify weaknesses and opportunities for improvement.
• Design and guide the data science team in advanced fraud detection algorithms using machine learning and data mining techniques.
• Advice on fraud detection systems to effectively monitor transactions, identify suspicious activities, and prevent fraudulent behavior.
• Collaborate with internal stakeholders to align fraud detection strategies with business goals and regulatory requirements.

Key Responsibilities:

• Lead the optimization and iteration of the Flask-based application, focusing on code quality, performance, and security.
• Perform code reviews, refactor code where necessary, and implement new features or enhancements to improve platform functionality.
• Collaborate with teams to develop and deploy updates to the application and ensure seamless integration with fraud detection systems.
• Provide recommendations on fraud detection improvements, focusing on predictive modeling, real-time monitoring, and prevention systems.
• Train and support internal teams on best practices in Flask development and fraud detection methodologies.
• Offer strategic advisory to senior management on enhancing both the application and fraud detection processes.

Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Software Engineering, or a related field.
• At least 3 - 5 years of experience in Flask application development, with a strong focus on scalability, security, and performance.
• Experience in fraud detection systems, machine learning algorithms, and data analysis, preferably within financial services or e-commerce.
• Proven expertise in conducting code reviews, debugging, and refactoring code for optimized application performance.
• In-depth understanding of Flask infrastructure management and deployment strategies for real-time data processing.
• Knowledge of fraud trends and regulatory standards within the financial services sector.
• Strong communication and collaboration skills, with experience working cross-functionally to deliver results.

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Responsibilities:

• Owning the delinquent portfolio assigned to you, including constant management and follow-ups of repayments. Using Pipedrive software to manage your portfolio.
• Able to respond to caller concerns and difficulties with a sense of empathy and understanding, but also able to firmly request that each borrower make his or her due payment or make some arrangements to begin paying off the delinquent account.
• Keeping our databases, dashboards and spreadsheets up-to-date with the status of the loan records. 
• Being the bridge between the customer and Pezesha by seeking feedback from the customer and suggesting product and process improvements.

Skills, Qualifications and Experiences:

• At least 1 year of work experience in the collections department.
• Excellent verbal and written communication and interpersonal skills are essential.
• Must be able to set up payment plans based on information provided by the borrower.
• Flexibility towards working hours as sometimes calls and visits may need to be done on weekends.
• High level of interpersonal maturity, hardworking, and professionalism.
• Excellent time management and personal organization.
• Team player who demonstrates a positive attitude, energy, dedication to collaboration and patience and works with the highest levels of integrity.
• Comfortable and effective in managing and communicating with team members and stakeholders based remotely or in different timezones.
• Good MS Office skills and able to adapt to new technology.

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We are seeking enthusiastic and skilled upcoming Data Scientists and Data Engineers to join our team. In this role, you will provide valuable insights to support our products, portfolios, and leadership teams through comprehensive data analysis. The ideal candidate excels at utilizing diverse data sets to identify opportunities for product and process optimization and is proficient in developing models to evaluate different strategies.

Key Responsibilities:

• Identify data gaps and implement solutions to address them.
• Provide actionable data insights to the products team for scaling and optimization.
• Monitor and report on experiment results and impact analyses.
• Develop state-of-the-art solutions to present data insights to the management team on-demand.
• Analyze scoring and repayment data to identify patterns that inform customer behavior.
• Develop and validate credit scoring models.
• Deploy scoring models using REST APIs.
• Document deployed code thoroughly.

Required Qualifications:

• Bachelor’s degree in Mathematics, Data Science, Computer Science or Computer Engineering; a Master’s degree is a plus.
• Over 1 year of relevant experience in the data science field.
• Proficiency in machine learning algorithms, such as tree-based methods and logistic regression.
• Strong Python skills, especially in data analytics and science (e.g., pandas, NumPy, scikit-learn, matplotlib, seaborn).
• Expertise in SQL database operations.
• Experience with experimental design, statistical analysis, and interpretation of both qualitative and quantitative data.
• Solid understanding of statistical tests and analysis.
• Ability to communicate model outputs and analyses to stakeholders with varying levels of technical expertise.
• Experience deploying predictive models at scale.
• Keen attention to detail and a methodical approach to data investigation.
• Collaborative and thrives in a team environment.
• Familiarity with cloud technologies (GCP, AWS).
• Knowledge of parallel processing technologies such as Spark and Dask.
• Bonus: Experience working with financial data or credit scoring models.

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Primary Roles & responsibilities

• Maintain accounts for the company and any subsidiaries or countries we operate as per international financial reporting standards (IFRS and IAS).
• Perform month-end close activities, including preparation of journal entries and reconciliations for various balance sheet and income statement accounts
• Perform financial statement analysis and document meaningful explanations for fluctuations
• Performing risk management by analyzing the organization's liabilities and investments
• Ensure all accounting processes are streamlined and in accordance with the respective jurisdiction.
• Liaise with external auditors to facilitate annual audits.
• Reconcile transactions on the dashboard, mobile money statements and other statements and liaise with the Tech team to resolve any irregularities.
• Liaise with all other business units to challenge the status quo, implement new ideas, investigate and implement more efficient solutions and treasury processes
• Daily administration responsibilities

Your skills and experience

• At least 1 years of relevant accounting experience
• Lateral experiences within a corporate finance, investments & transactions, or comparable role will be favored.
• Excellent communication and presentation skills. 
• Sound analytical skills and advanced skills using Microsoft Excel.
• Understanding of IFRS
• Professional qualification: CPA or ACCA or CFA certified  or an equivalent certified

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• We are looking for a Software developer Interns to join our rockstar tech team in supporting different teams in the day to day operations by; 
• Transform technical designs and notes into secure code building applications, APIs and integrations into and out of our platforms. 
• Collaborate with our existing team in implementing and managing our end to end credit & data platforms. 
• Be a primary line of support for technical solutions issues 
• Documentation of tech processes. 
• Quality assurance and testing 
• Collaborate with data and operations teams in ensuring our customer needs are met 
• Technical training to teams and partners

Required Skills and Experience 

• Enthusiasm for technology and a strong willingness to learn and grow as a developer. 
• Pursuing or recently graduated with a degree in Computer Science, Software Engineering, or a related field. 
• Basic understanding of object-oriented programming concepts and familiarity with at least one programming language (e.g., PHP, Java, Python, etc.). 
• Knowledge or exposure to backend development frameworks such as Laravel, Spring Boot, or Gin(Golang) will be a plus, but not mandatory. 
• Solid problem-solving skills and the ability to think analytically. 
• A positive attitude, strong work ethic, and a collaborative mindset to thrive in a team-based environment. 
• Excellent communication skills and a keenness to actively participate in discussions. 

Qualifications 

• Integrity- upholds high degree of honesty and values to be trusted with high value transactions processing and support 
• Leader - Take ownership and responsibility of tasks 
• Detailed - Think through the proposed design (solution) approach and documentation before coding 
• Disciplined - Estimate and communicate the duration of time to complete tasks 
• Agile - Move quickly and easily to resolve issues. Look at short-term approaches that satisfy immediate needs and plan for long term approaches that are more robust 
• Humble - Willing to listen and learn 

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• We are looking for a Software developer Interns to join our rockstar tech team in supporting different teams in the day to day operations by; 
• Transform technical designs and notes into secure code building applications, APIs and integrations into and out of our platforms. 
• Collaborate with our existing team in implementing and managing our end to end credit & data platforms. 
• Be a primary line of support for technical solutions issues 
• Documentation of tech processes. 
• Quality assurance and testing 
• Collaborate with data and operations teams in ensuring our customer needs are met 
• Technical training to teams and partners

Required Skills and Experience 

• Enthusiasm for technology and a strong willingness to learn and grow as a developer. 
• Pursuing or recently graduated with a degree in Computer Science, Software Engineering, or a related field. 
• Basic understanding of object-oriented programming concepts and familiarity with at least one programming language (e.g., PHP, Java, Python, etc.). 
• Knowledge or exposure to backend development frameworks such as Laravel, Spring Boot, or Gin(Golang) will be a plus, but not mandatory. 
• Solid problem-solving skills and the ability to think analytically. 
• A positive attitude, strong work ethic, and a collaborative mindset to thrive in a team-based environment. 
• Excellent communication skills and a keenness to actively participate in discussions. 

Qualifications 

• Integrity- upholds high degree of honesty and values to be trusted with high value transactions processing and support 
• Leader - Take ownership and responsibility of tasks 
• Detailed - Think through the proposed design (solution) approach and documentation before coding 
• Disciplined - Estimate and communicate the duration of time to complete tasks 
• Agile - Move quickly and easily to resolve issues. Look at short-term approaches that satisfy immediate needs and plan for long term approaches that are more robust 
• Humble - Willing to listen and learn 

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Job Description:

• Work with CEO on lead generation, acquisition and onboarding of new credit and SaaS partners
• Own the entire B2B sales close process: prospective partner discovery calls, partner contextual product development, align product demo to prospective partner, manage internal resources to ensure sales close and onboard project to growth team
• Work closely with the marketing team to build product awareness on Pezesha B2B business lines
• Developing and maintaining competitive analysis reports in line with business line objectives and market trends
• Represent the CEO with managing discovery calls, aligning post-call objectives and attending strategic events in line with the business line objectives
• Collaborates with the internal growth team to optimise credit business and SaaS sales funnel in line with applicable business objectives and meet company goals while supplying expertise and guidance on portfolio management and retention

Qualifications:

• Bachelor Degree in Business or Marketing Operations
• At least 3 years of proven work experience in a B2B business development or similar role
• Proven organizational skills, with written and verbal communication
• Critical thinking skills; strategic thinking coupled with cross-functional team management and internal and external prioritization decisions as aligned with the CEO
• Added advantages: MBA, experience in Fintech or East African Banking industry
• Ability to complete a high volume of tasks and projects with little or no guidance.

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• We are looking for a seasoned consultant specializing in credit scoring models. The Consultant will work closely with our team to evaluate the effectiveness of our current credit scoring models, identify areas for improvement, and implement enhancements to optimize our risk assessment processes.

Key Responsibilities;

• Conduct a comprehensive review and analysis of our existing credit scoring models to assess their accuracy, reliability, and performance.
• Collaborate with internal stakeholders and external contractors to gather insights and feedback on the usability and effectiveness of the current models.
• Identify gaps and limitations in the existing models and propose iterative improvements to enhance predictive power and risk assessment capabilities.
• Develop and implement strategies for model validation, testing, and calibration to ensure compliance with regulatory requirements and industry standards.
• Provide training sessions and workshops to educate team members on best practices in credit scoring model development and evaluation.
• Offer advisory services to senior management on strategic decisions related to credit risk management and model governance.
• Act as a consultant to address any challenges or issues related to credit scoring models and provide actionable recommendations for improvement.

Qualifications;

• Bachelor's or Master's degree in Statistics, Mathematics, Finance, or a related field.
• At least 7 years Extensive experience in reviewing and iterating credit scoring models within the financial services industry.
• Strong proficiency in statistical modeling techniques, machine learning algorithms, and data analysis tools.
• Knowledge of regulatory requirements and industry standards governing credit risk management and model validation.
• Excellent communication and presentation skills with the ability to convey complex technical concepts to non-technical stakeholders.
• Prior experience in providing consultancy and advisory services in credit risk management and model development.
• Ability to collaborate effectively with cross-functional teams and external partners to achieve project objectives.
• Experience in Python or relevant programming languages. 
• Some experience working with credit scoring algorithms in a cloud context. 

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• We are seeking a dynamic Consultant specializing in Fraud Detection Methods in the context of digital lending. The Consultant will play a key role in evaluating our current fraud detection processes, identifying vulnerabilities, and implementing robust solutions and models to mitigate fraud risks effectively.

Key Responsibilities:

• Conduct a comprehensive audit of our existing fraud detection methods, tools, and processes.
• Analyze historical data and patterns to identify potential fraud indicators and develop predictive models for fraud detection.
• Collaborate with internal teams and external partners to gather insights and feedback on the effectiveness of current fraud detection strategies.
• Design and implement advanced fraud detection algorithms and techniques using machine learning and data mining approaches.
• Develop and deploy fraud detection systems and tools to monitor transactions, identify suspicious activities, and prevent fraudulent behavior.
• Provide training sessions and workshops to educate team members on fraud detection best practices and techniques.
• Offer advisory services to senior management on strategic decisions related to fraud risk management and mitigation.
• Act as a consultant to address any challenges or issues related to fraud detection and provide recommendations for improvement.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• At least 7 years Proven experience in fraud detection methods, tools, and techniques, preferably within the financial services or e-commerce industry.
• Strong proficiency in machine learning algorithms, data analysis, and statistical modeling for fraud detection.
• Knowledge of fraud trends, patterns, and typologies, as well as regulatory requirements and industry standards.
• Excellent problem-solving and analytical skills with the ability to analyze complex datasets and identify fraud patterns.
• Excellent communication and collaboration skills with the ability to work effectively with cross-functional teams.
• Prior experience in providing consultancy and advisory services in fraud detection and risk management.
• Ability to stay updated on emerging trends and technologies in fraud detection to drive continuous improvement.

Tasks for Consultant - Fraud Detection Methods and Tools:

• Conduct a comprehensive audit of the organization's existing fraud detection methods, tools, and processes.
• Analyze historical data and patterns to identify potential fraud indicators and develop predictive models for fraud detection.
• Collaborate with internal teams and external partners to gather insights and feedback on the effectiveness of current fraud detection strategies.
• Design and implement advanced fraud detection algorithms and techniques using machine learning and data mining approaches.
• Develop and deploy fraud detection systems and tools to monitor transactions, identify suspicious activities, and prevent fraudulent behavior.
• Provide training sessions and workshops to educate team members on fraud detection best practices and techniques.
• Offer advisory services to senior management on strategic decisions related to fraud risk management and mitigation.
• Address any challenges or issues related to fraud detection and provide recommendations for improvement.

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• We are seeking a highly skilled and experienced Data DevOps Consultant specializing in Data Warehousing, Cloud-based Feature Engineering, Machine Learning Operations and Model Life-Cycle Management. The successful candidate will be responsible for providing comprehensive support and expertise in data architecture, cloud-based feature engineering, and machine learning operations management to optimize our data infrastructure and enhance our analytical capabilities.

Key Responsibilities:

• Conduct a thorough audit of our current data warehousing infrastructure and cloud-based solutions.
• Design and implement efficient data warehousing strategies tailored to our specific business needs.
• Develop and maintain cloud-based feature engineering pipelines for data preprocessing and transformation.
• Support in design of Machine Learning operations framework to manage the end to end model lifecycle. 
• Collaborate with cross-functional teams to ensure seamless integration of data engineering solutions into our existing systems.
• Provide training sessions and workshops to educate team members on best practices in data warehousing and cloud-based feature engineering.
• Offer advisory services to senior management on strategic decisions related to data infrastructure and analytics.
• Act as a consultant to address any data engineering challenges and provide innovative solutions.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• At least 7 years of proven experience in data warehousing, cloud-based feature engineering, and machine learning operations management.
• Strong proficiency in Google Cloud Platform.
• Expertise in designing and implementing features stores with Vertex AI, and familiarity with open source tools such as MLFlow. 
• Excellent communication and interpersonal skills with the ability to collaborate effectively with diverse teams.
• Prior experience in providing consultancy and advisory services in data engineering and analytics.
• Ability to analyze complex data requirements and develop scalable solutions to address business needs.

Expected Tasks for Consultant - Data Warehousing, Cloud-based Feature Engineering, and Management:

• Perform a comprehensive audit of the current data warehousing infrastructure and cloud-based solutions used for credit scoring, fraud detection and loan management.
• Design and implement efficient data warehousing strategies tailored to the organization's business needs and objectives. This includes a real-time data streaming service for credit scoring model interaction and a feature store. 
• Build CI/CD ML operations pipelines to ensure smooth and reliable deployment of models. 
• Develop and maintain cloud-based feature engineering pipelines for data preprocessing and transformation.
• Collaborate with cross-functional teams to ensure seamless integration of data engineering solutions into existing technology systems.
• Conduct training sessions and workshops to educate team members on best practices in data warehousing and cloud-based feature engineering.
• Offer advisory services to senior management on strategic decisions related to data infrastructure and analytics.
• Address any data engineering challenges and provide innovative solutions to optimize data processes and workflows.