Senior Data Scientist, Credit

🕒 March 13

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 46%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Moniepoint Inc. (Formerly TeamApt Inc.)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💳 Fintech

🏦 Banking

Fintech • Banking • Payments

Moniepoint Inc. is Africa's all-in-one financial ecosystem that provides seamless solutions in payments, banking, credit, and business management for over 10 million businesses and individuals. Operating as Nigeria's largest merchant acquirer, Moniepoint powers the majority of Point of Sale (POS) transactions in the country. The company processes $17 billion monthly while ensuring profitable operations. With operations starting in 2019, Moniepoint continues to support businesses through its comprehensive financial services platform, making significant strides in financial inclusion across emerging markets.

📋 Description

• Develop and deploy credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections • Design and run experiments to optimise approval rates, loss rates, and profitability • Partner with product squads to embed decision logic into real-time systems • Ensure data quality, compliance, and ethical use of models across all decisioning processes • Mentor product squads on best practices in experimentation and data-driven decision making • Provide models to optimise outcomes in collections, churn management and user retention

🎯 Requirements

• You’re comfortable with Statistics - and have a Degree or qualifications in a quantitative field (Statistics, Mathematics, Engineering or similar) • You have +5 years of experience in data science, decision science, or risk analytics within financial services • Working knowledge of credit risk, consumer lending, and regulatory considerations • Proficiency in SQL and at least one modelling/programming language (Python, R) • Experience with A/B testing, machine learning, collections modelling and churn management • Ability to translate complex analyses into clear recommendations for business stakeholders • High ownership mindset and comfort working in fast-paced, cross-functional teams.

🏖️ Benefits

• Culture: We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. • Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. • Compensation: You’ll receive an attractive salary, pension, health insurance, monthly bonuses, plus other benefits