Recruitment at FairMoney Mircofinance Bank 

FairMoney is building the leading mobile bank for emerging markets. We started with a digital microcredit application on Android, and currently roll out additional financial services (current account, savings, debit card) while expanding the product to Western Africa and South-East Asia.

We are recruiting to fill the position below:

Job Title: Senior Growth Manager

Location: Nigeria (Remote)
Job type: Full-time
Department: Growth

Description

• As the Senior Growth Manager for all Business Units (Nigerian – Banking and Lending), you will be part of a team that plays a critical role in managing FairMoney’s ability to grow in the market.
• You will be accountable for designing the customer acquisition strategy via Paid Social, SEO, PPC, Affiliates, and Display. You will work closely with the Product Team to ensure the optimization of new user conversion and also with the CRM and Operations team to ensure the delivery of key customer success metrics.
• The Growth Team at FairMoney functions at the intersection of product, operations, marketing, and risk. Its work is imperative to drive the top line of the Business Units.

Your Responsibilities

• Growth Strategy: Develop and own the growth strategy for acquiring and retaining both new and existing customers.
• Digital Channel Management: Oversee digital channels to ensure optimal ROI, identifying key metrics to drive company growth, including acquisition, activation, and engagement.
• Metric Monitoring: Continuously monitor and enhance key growth metrics and funnels.
• Customer Acquisition Strategy: Define and implement strategies for channel and segment-specific customer acquisition.
• Agency Collaboration: Lead digital planning sessions with external agencies to support acquisition plans and achieve objectives.
• Marketing Operations: Build and refine robust processes for marketing operations.
• External Coordination: Identify and coordinate with external providers and stakeholders, including digital marketing agencies and technical third parties.
• Brand Amplification: Collaborate with the marketing team to enhance brand presence through top-tier creative efforts and brand awareness initiatives.
• Customer Success: Develop and execute a customer success strategy to drive retention and lifetime value (LTV), working with relevant stakeholders (e.g., customer support).
• Innovation and Testing: Stay updated on new acquisition and retention opportunities, and integrate A/B testing strategies across channels.
• Team Collaboration: Work closely with CRM and TeleSales teams to ensure effective targeting and conversion.
• Cross-Functional Alignment: Collaborate with other teams (e.g., product, risk, programs) to align internal operations with the growth strategy.
• Reporting: Provide weekly reports on activities, KPIs, and funnel performance.

Requirements

• Bachelor’s or Master’s Degree with 5+ years of experience in performance marketing and liaising with third parties, preferably in a Fintech, Banking, Payments, E-commerce, or Tech environment.
• Proven experience in managing and optimizing budgets effectively to meet key objectives, deadlines, and targets.
• A strong track record of success in digital customer acquisition.
• Well-versed in most, if not all, forms of digital channels, demonstrating strong analytical skills.
• Analytical mindset with a skill set in quantitative analysis, and experience with mobile marketing analytics and attribution platforms.
• Experience with app marketing.
• Detail-oriented with proven execution skills.
• Passionate about growth strategy, marketing, and customer success.
• Strong communication skills; fluent in English.

Benefits

• Paid Time Off
• Family Leave (Maternity, Paternity)
• Training & Development budget
• Remote Work.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Recruitment Process

• Screening call with a member of the Talent Acquisition Team (30 minutes)
• Interview with Hiring Manager (45-60 minutes)
• Take-Home Assignment
• Panel Discussion based on the Take-Home Assignment

Job Title: Senior Financial Modelling & Variance Analyst

Location: Nigeria
Employment Type: Full-time

Key Responsibilities
Variance Analysis:

• Track and analyse variances between actuals and forecasts across products and entities.
• Build and maintain dashboards to visualize and communicate variance trends.
• Investigate and report on the driving factors behind variances.
• Track and report on budget performance, highlighting variances and suggesting corrective actions where needed.

Treasury and Liquidity Analysis:

• Conduct weekly and monthly liquidity analyses to optimize cash flow management.
• Monitor and report on the company’s liquidity position, forecasting future cash flows.
• Identify and mitigate potential liquidity risks.

Model Maintenance:

• Monitor and maintain forecasting models to ensure their accuracy and relevance.
• Assist in making necessary adjustments and updates to models based on changing conditions.

Budgeting and Forecasting:

• Assist in the annual budgeting process, collaborating closely with cross-functional teams to gather necessary data and assumptions.
• Support the development and refinement of budget models, ensuring alignment with the company’s strategic goals.
• Provide insightful analysis and recommendations to improve budgeting accuracy and efficiency.

Financial Analysis:

• Conduct ad hoc financial analyses to support strategic decision-making.
• Provide detailed financial data and insights to senior management.
• Prepare comprehensive reports and presentations for key stakeholders.

Required Skills & Qualifications

• Bachelor’s Degree in Finance, Science, or Engineering.
• Proficient in a coding language, ideally MATLAB, Python, R or SAS or similar.
• Strong SQL skills.
• Advanced Excel modeling skills.
• Solid understanding of PowerPoint for creating impactful presentations.
• In-depth knowledge of banking and financial services, including business models and unit economics.
• Strong analytical and problem-solving abilities, with a keen eye for detail.
• Critical thinking skills, with the ability to evaluate complex situations and make informed decisions.
• Excellent communication and interpersonal skills.
• A team player with a collaborative mindset and a strong desire to learn.

Recruitment process

• Screening call with a Recruiter: 30 mins
• Technical Interview with hiring manager (Head- Financial Forecasting): 1 hr

Benefits

• Private Health Insurance
• Pension Plan
• Training & Development
• Hybrid work
• Paid Time Off

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Job Title: Data Scientist

Location: Remote (3 hours difference from CET)
Employment type: Contract (permanent or B2B)
Remote work: any combination of remote / office work is acceptable.

Job Description

• Your mission is to develop data science-driven algorithms and applications to improve decisions in business processes like risk and debt collection, offering the best-tailored credit services to as many clients as possible.

Role and Responsibilities

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases and external data sources to drive optimization and improvement of risk strategies, product development, marketing techniques, and other business decisions.
• Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
• Use predictive modelling to increase and optimize customer experiences, revenue generation, and other business outcomes.
• Coordinate with different functional teams to make the best use of developed data science applications.
• Develop processes and tools to monitor and analyze model performance and data quality.
• Apply advanced statistical and data mining techniques in order to derive patterns from the data.
• Own data science projects end-to-end and proactively drive improvements in both data.

Our tool stack:

• Programming language: Python
• Production: Python API deployed on Amazon EKS (Docker, Kubernetes, Flask)
• ML: Scikit-Learn, LightGBM, XGBoost, shap
• ETL: Python, Apache Airflow
• Cloud: AWS, GCP
• Database: MySQL
• DWH: BigQuery, Snowflake
• BI: Tableau, Metabase, dbt
• Streaming Applications: Flink, Kinesis.

Job Requirements

• Strong background in Mathematics / Statistics / Econometrics / Computer science or related field.
• 5+ years of work experience in analytics, data mining, and predictive data modelling, preferably in the fintech domain.
• Being best friends with Python and SQL.
• Hands-on experience in handling large volumes of tabular data.
• Strong analytical skills:
  • Ability to make sense out of a variety of data and its relation/applicability to a specific business problem.
• Feeling confident working with key Machine learning algorithms (GBM, XG-Boost, Random Forest, Logistic regression).
• Being at home building and deploying models around credit risk, debt collection, fraud, and growth.
• Track record of designing, executing and interpreting A/B tests in a business environment.
• Strong focus on business impact and experience driving it end-to-end using data science applications.
• Strong communication skills.
• Being passionate about all things data.

Benefits

• Paid Time Off (25 days Vacation, Sick & Public Holidays) to all B2B contractors and employment staff.
• Family Leave (Maternity, Paternity)
• Training & Development budget
• Paid company business trips (not mandatory).
• Remote work:
  • Any combination of remote / office work is acceptable.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online

Recruitment Process

• Screening call with Talent Manager
• Home Test assignment
• Technical interview with Head of Data Science (once test assignment stage is passed)
• Interview with the team and key stakeholders.