Current Opportunities at Unifi Group

Requirements

• Bachelor's or master's degree in a relevant field (e.g., Mathematics, Statistics, Computer Science, Data Analytics/Science).
• Proven experience as a Data Analyst or similar role win min experience of 6+ years
• Proficiency in data analysis tools GCP (Google Cloud Platform), Google Big Query, SAS, SQL, Python, R and data visualization tools Google Looker.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Ability to handle and analyse large datasets efficiently.
• Experience with statistical analysis techniques and data modelling.
• Excellent communication and presentation skills.
• Proficiency in Microsoft Excel and other data manipulation tools.
• Familiarity with data governance principles and best practices.
• Knowledge of data privacy regulations and compliance standards is a plus.
• Ability to travel occasionally across Africa

Duties and Responsibilities

Data Collection and Cleaning:

• Collect, extract, and compile data from various sources, ensuring data accuracy and completeness.
• Clean and transform raw data into structured datasets for analysis.
• Identify and resolve data quality issues, inconsistencies, and anomalies.
• Utilizing the technologies of SQL, SAS, Python and Big Query, while staying up-to-date with latest trends and developments in data analytics. 

Data Analysis and Interpretation:

• Perform exploratory data analysis to identify trends, patterns, and relationships within the data.
• Apply statistical techniques and data visualization methods to interpret and present findings.
• Analyse large and complex datasets to derive actionable insights and recommendations.
• Collaborate with stakeholders to understand business requirements and translate them into analytical approaches.

Reporting and Visualization:

• Create visualizations, dashboards, and reports to effectively communicate data insights to stakeholders with help of Google Looker.
• Develop and maintain standardized reporting templates and data visualization tools.
• Present findings in a clear and concise manner, tailoring the information to the audience's needs.

Data-driven Decision Making:

• Collaborate with cross-functional teams to support data-driven decision-making processes.
• Provide analytical support for business initiatives, including market analysis, customer segmentation, and performance tracking.
• Identify opportunities for process improvement, operational efficiencies, and revenue optimization based on data analysis.

Data Governance and Security:

• Ensure compliance with data governance policies, data protection regulations, and security protocols.
• Adhere to data privacy and confidentiality standards when handling sensitive information.
• Contribute to the development and maintenance of data dictionaries and data documentation.

Continuous Learning and Development:

• Stay updated with industry trends, best practices, and emerging technologies in data analysis.
• Expand knowledge of statistical analysis techniques, data modelling, and data visualization tools.
• Participate in training programs, workshops, and professional development opportunities.

go to method of application »

Minimum Requirements

Requirements

• Master's degree in Statistics, Data Science, Actuarial Science, or a related field
• Minimum of 8 - 10 years experience in a similar role on senior/executive level
• Strong experience developing predictive models for forecasting probability of default
• Experience and knowledge of provisioning approaches and calculation
• Strong problem-solving and analytical skills
• Excellent communication and collaboration skills
• Travelling in Africa is required at least once per quarter

Duties and Responsibilities

• Develop and execute the overall credit risk management strategy in alignment with the company's goals and regulatory requirements.
• Provide strategic direction and leadership to the credit risk management team, fostering a culture of risk awareness and continuous improvement.
• Develop, review, and update credit risk policies, frameworks, and procedures to ensure effective risk management practices, optimising profitability and driving financial success and expansion across Africa.
• Delve into complex data sets using SQL and other analytical tools to extract meaningful insights and detect trends.
• Ensure compliance with regulatory standards and internal policies, adapting to changes in the regulatory environment.
• Oversee the assessment and analysis of credit risk exposures across all portfolios.
• Set risk-based pricing for financial products to ensure they meet specified profitability targets by analysing risk levels and adjusting pricing structures to maintain a balance between competitiveness and financial sustainability.
• Generate detailed insights into different customer profitability segments by collaborating with the finance team and other relevant stakeholders.
• Enhance the effectiveness of credit risk management strategies and leading to improved outcomes and reduced defaults
• Scrutinize data sets to uncover variables and trends associated with credit risk outcomes using statistical methods to inform risk assessment and decision-making processes.
• Create sophisticated credit risk models based on rigorous statistical analysis and machine learning techniques to predict the probability of consumer default and improve the accuracy of credit risk assessments.
• Implement robust credit risk models and tools to assess and monitor credit risk, ensuring timely identification and mitigation of potential risks.
• Monitor and manage the credit portfolio, ensuring diversification and alignment with risk appetite.
• Develop and implement strategies for managing non-performing loans and distressed assets.
• Collaborate with senior management, business units, and external stakeholders to ensure a comprehensive understanding of credit risk and its impact on business objectives.
• Collaborate closely with operational teams to embed credit risk models and data-driven methodologies into daily processes.
• Present credit risk reports and insights to the Board of Directors, Risk Committee, and other key stakeholders.
• Liaise with regulatory bodies, auditors, and other external parties on matters related to credit risk management.
• Stay abreast of industry trends, best practices, and emerging risks in credit risk management.
• Drive continuous improvement initiatives to enhance the efficiency and effectiveness of credit risk management processes.

go to method of application »

Minimum Requirements

Requirements 

• Appropriate degree (e.g. IT or Engineering)
• Minimum of 5 years of experience working in a software product-focused role in financial services.  You should be familiar with creating product requirements documents, managing stakeholder expectations, UX, and taking ownership of the product’s success.
• Minimum of 3 years SQL experience
• Experience with product management tools
• Proven track record of successfully delivering and managing complex products
• Ability to translate business requirements into technical requirements
• A concern for order, quality and accuracy. A meticulous approach to work.
• Excellent communication, negotiation, and stakeholder management skills.
• Passion for building products that solve real user problems and deliver exceptional value.
• Passion for Africa and willingness to work in the developing world context 
• Ability to travel across Africa

Duties and Responsibilities

Responsibilities 

• Understand the software product value proposition in the business and market.
• Define and communicate the software product vision, strategy, and roadmap in alignment with business goals
• Collaborate with stakeholders to gather and prioritise product requirements, ensuring they are documented and clearly communicated to the development team.
• Lead the product development process, from ideation to launch, ensuring timely delivery of high-quality solutions.
• Work with teams across the organsiation to ensure user adoption.
• Work across internal teams to ensure alignment in goals and ensure that dependencies are known, and work is followed through for delivery.
• Prioritise and manage the product backlog, making informed decisions on prioritisation and trade-offs.
• Define and monitor key performance indicators to measure the success of products and adoption thereof.
• Track trends and usage of the product and use this information to contribute to the product roadmap, in order to meet needs and solve pain-points.
• Drive continuous improvement of products.  
• Define, prioritise and deliver product changes.
• Perform root cause analysis on issues experienced and drive solutions to resolve them.
• Act as the primary point of contact for all product-related matters, providing clear and effective communication to all stakeholders.
• Stay up to date with market trends and competitor offerings.