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.
