At a Glance
- Tasks: Design and develop AI/ML solutions to tackle real-world financial challenges.
- Company: Join a leading financial services firm in the heart of London.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting projects in RegTech and FinCrime.
- Why this job: Make an impact in finance using cutting-edge AI and ML technologies.
- Qualifications: Experience in Python, SQL, and machine learning techniques is essential.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a data scientist to work with Financial services in London, UK.
Looking for talented and experienced data scientists with experience to join the programme. Solid knowledge and experience of AI and ML is essential.
- Design and develop AI / ML based solutions
- Work with other data scientists to build and deploy production-level solutions
- Troubleshoot and debug code
- Work with other teams to understand and solve business problems
Required Skills:
- Python (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineering
- SQL: For querying structured data sources
- Model Development & Validation: Experience with classification, unsupervised learning (e.g. outlier detection), and ranking models
- Machine Learning Deployment: Familiarity with containerised deployment (e.g. Podman, SageMaker, DSW pipelines)
- Version Control (Git): To maintain reproducible and collaborative workflows
- Time-Series Analysis: To assess risk trends over financial years
- Exploratory Data Analysis (EDA): To spot early signals or risk clusters
- Rank Aggregation/Ensemble Techniques: Understanding methods like Robust Rank Fusion (RRF)
- Model Explainability Tools: e.g. SHAP, LIME to support interpretability
- Experience with Model Monitoring & Drift Detection
- Experience in RegTech / FinCrime / Data-led Supervision Projects is a plus
- Experience developing solutions for record linkage and/or network analytics tasks
- Experience with graph query languages (e.g., Gremlin, Cypher), graph database platforms (e.g., Neptune, Neo4j), and/or graph visualisation platforms
Data Scientist - Financial services employer: Vallum Associates
Join a forward-thinking financial services firm in London, where innovation meets collaboration. As a Data Scientist, you'll thrive in a dynamic work culture that prioritises employee growth and offers access to cutting-edge AI and ML technologies. With a commitment to professional development and a supportive team environment, this role provides a unique opportunity to make a meaningful impact in the financial sector.
We think you need these skills to ace Data Scientist - Financial services
AI
Machine Learning (ML)
Python (pandas, NumPy, scikit-learn)
SQL
Model Development & Validation
Machine Learning Deployment
Version Control (Git)
