Job Description
Junior Data Scientist - FinTech
📍 Location: London, UK (Hybrid Working)
💰 Salary: £35,000 - £45,000 + Bonus
🕒 Start Date: ASAP or within 1-2 months
Are you a highly analytical STEM graduate with a passion for data science and financial technology? We are seeking a Junior Data Scientist to join our client’s London-based fintech team, where you will work with large-scale financial datasets, develop predictive models, and support data-driven decision-making in a dynamic and fast-growing sector.
Key Responsibilities
🔍 Data Science & Modelling: Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies.
🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading.
📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders.
🤝 Collaboration: Work alongside risk, product, and engineering teams to develop data-driven financial solutions.
🚀 Innovation & Research: Stay up to date with advancements in AI, ML, and fintech applications, applying them to real-world financial problems.
Skills & Experience Required
- An Undergraduate & Masters STEM degree (Mathematics, Statistics, Computer Science, Engineering, or related field) from a Russell Group university.
- Proficiency in Python and SQL for data manipulation, analysis, and model development.
- Solid understanding of machine learning concepts, including supervised and unsupervised learning.
- Experience working with financial datasets, such as market data, transactions, or alternative finance sources.
- Strong analytical and problem-solving skills, with the ability to communicate complex findings effectively.
Desirable Skills
- Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications.
- Familiarity with time series forecasting, anomaly detection, or deep learning techniques.
- Exposure to financial APIs such as Bloomberg, Refinitiv, or Open Banking.
- Experience with cloud platforms (AWS, GCP, or Azure) for model deployment.
- Understanding of big data technologies like Spark or Hadoop.
- Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection.
Benefits
💰 Competitive Salary & Bonus: £35,000 - £45,000 plus performance-based incentives.
🏡 Hybrid Working: Flexible mix of office and remote work.
📈 Career Growth: Structured professional development, mentorship, and training opportunities.
🛠 Cutting-Edge Technology: Work with the latest tools in data science, AI, and fintech.
🤝 Collaborative Environment: Be part of a forward-thinking team shaping the future of financial technology.
✨ Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives.
How to Apply
Apply now by submitting your CV and I’ll be in touch to arrange a convenient time with you to discuss the role and your career aspirations.