Senior Data Analyst (Remote) at Moniepoint Incorporated

Moniepoint Incorporated is a global business payments and banking platform and recently became QED Investors’ first investment in Africa. We are the partner of choice for over 600,000 businesses of all sizes, powering the dreams of SMBs and providing them with equal access to the tools they need to grow and scale.

We are recruiting to fill the position below:

Job Title: Senior Data Analyst

Location: Lagos

Job Purpose

• This is a critical role for the business and will suit an experienced data science or credit risk analyst looking for their next step up and lead the design and delivery of credit acquisition strategy (e.g. scorecard build and cut-offs / policy rule optimisation) and analytical support within the Bank.
• You will also be instrumental in leveraging an incredible wealth of in-house data sources to identify and uncover trends that will support tangible outcomes and ensure the lending portfolio remains within agreed loan loss rate levels.
• You will bring ingenuity and innovation and be proactive in the identification and application of data to increase efficiency, drive decision making and support the growth objectives of the business.

Responsibilities
As a Senior Data Analyst, you would:

• Lead the development of credit risk acquisition strategies including scorecard build/cut-offs, and policy rule optimisation.
• Leverage large in-house data sources using cutting-edge analytical techniques to develop actionable insights for C-suite leaders.
• Drive the data driven decision making culture across the Bank through continued innovation and proactive application of data analytics.
• Collaborate with stakeholders across Product and Data Engineering on strategic growth initiatives.
• Present insightful MI and recommendations to senior management and Credit Committees / Investors.

Requirements

• Minimum of 5 years of experience in an analytical role e.g. Data Science / Credit Risk (essential).
• Advanced skills in SQL, Python (Pandas, Numpy etc.) (essential).
• Strong hands-on expertise in model building and validation e.g. Decision Trees, Random Forests, Logistic Regression (essential).
• Excellent communication skills with the ability to present complex analysis clearly.
• Comfortable working independently and collaboratively across multi-disciplinary teams.
• Awareness of Compliance within a Regulatory environment.

Relevant Skills: 

• Technical, data obsessed logical thinker.
• Excellent communication skills (verbal and written).
• An ability to work autonomously.
• Strong team player.
• High ethical and professional standards.

Application Closing Date
Not Specified.