Skills wanted

Probability
Fraud Detection
Modeling
Fraud Investigations
Foundations
Financial Transactions
Assessment
Recruiting
Relationship Development
Analytics

Key responsibilities

Analyse financial and blockchain data for patterns, anomalies and risk indicators
Prepare and validate datasets, and engineer features for modelling
Develop, train and evaluate supervised and unsupervised machine learning models
Use graph analysis to examine transaction flows and relationships
Explain model results and report findings clearly
Work with engineers to integrate models into products, using AI tools and agents where appropriate Who Should Apply Applicants must hold a bachelor's degree in Mathematics, Statistics, Data Science or a closely related quantitative field.
Applications are welcome from both recent graduates and early-career professionals with relevant experience.
Academic, research, personal projects and practical experience will be considered.
Essential Skills
Strong foundations in statistics, probability and quantitative reasoning
Practical Python skills (pandas, NumPy) and basic SQL
Understanding of machine learning methods and model evaluation
Systematic problem-solving and clear communication
Ability to learn independently and take responsibility for work Additional Strengths
Evidence of independent projects, tools or research you initiated
Machine learning projects using scikit-learn, XGBoost, PyTorch or similar
Interest in blockchain, digital assets or fraud detection
Experience with graph analysis or time-series data
Interest in AI agents and AI-assisted tools Development Opportunities
Mentorship from senior engineers and team leads.
Practical experience in applied machine learning, blockchain analytics, and financial crime detection.
Exposure to modern data science tools and AI-driven risk intelligence solutions.
Contribute to real-world fintech projects with global reach.

What the company offers

Join a collaborative, forward-thinking team where your work has visible impact.
Competitive salary package for the right candidate.
Opportunities for professional growth.
Flexible working hours to support work-life balance.
Our Hiring — Process 1.
Apply – Submit your CV by email or LinkedIn 2.
Interview – Technical and team discussion 3.
Written Assessment – Basic logical reasoning 4.
Offer & Onboarding – Join the team Ready to Grow with Us?
Send your CV to [email protected] .

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About Fintrellis

Discover the possibilities behind data. Fintrellis Limited is recruiting a Data Scientist to apply statistics and machine learning to financial and blockchain data. The role focuses on detecting fraud patterns, assessing risk and developing practical models. About Fintrellis Fintrellis Limited is a software development company focused on building secure, modern, and scalable financial platforms. We specialize in digital payments, backend systems, and cloud infrastructure that power the future of finance. We work at the intersection of technology and financial innovation, and we're growing our team with curious, motivated minds.

Plaines Wilhems District

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