- Defining and Evaluating Metrics: Establish and evaluate fundamental metrics for our product's AI components, pinpointing areas for enhancement.
- Data Annotation Pipelines: Develop streamlined data annotation pipelines using internal assessors and crowdsourcing platforms.
- Machine Learning Implementation: Execute and roll out suitable Machine Learning algorithms and models.
- Monitoring with BI Tools: Utilize Business Intelligence tools to oversee critical product metrics and the effectiveness of ML models.
- Fraud Detection: Access current systems, assess vendor models, and devise a strategy for system enhancements to combat fraud.
- Pattern and Irregularity Analysis: Utilize statistical tools to identify patterns and irregularities in data that may suggest fraudulent actions.
- Predictive Modelling: Utilize predictive modeling methods to detect potential fraudulent transactions and behaviors.
- Reporting: Create concise reports detailing discoveries, risks, and recommended steps.
- Cross-Department Collaboration: Collaborate closely with other departments to reinforce overall security and fraud identification.
- Programming Proficiency: Proficient in Python with in-depth expertise in statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn).
- Database Skills: Skilled in SQL and acquainted with data visualization tools (e.g., DataStudio, Tableau).
- Statistical Analysis: Fundamental grasp of statistical analysis.
- Growth Mindset: Energetic and eager to stay updated on the latest technologies and explore new concepts.
- Commercial Experience: Hands-on experience in deploying production machine learning systems in a professional setting.
- DevOps Knowledge: Solid understanding of DevOps in a Data Science context (e.g., MLOps) is advantageous.
- Innovative Environment: Engage with state-of-the-art technology in a vibrant and innovative setting.
- Impactful Work: Contribute to the well-being and safety of our clients by thwarting financial crimes.
- Professional Growth: Access opportunities for continual learning and career advancement.
- Collaborative Culture: Become a part of a cohesive team that appreciates your input and encourages your development.
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Data Scientist - Cardiff, United Kingdom - Yolk Recruitment Ltd
Description
Financial Crime Analyst at Innovative Fintech Company
Are you enthusiastic about leveraging AI and machine learning to combat financial crime effectively? Do you excel in unraveling intricate problems and revealing concealed patterns in data? Come onboard this cutting-edge Fintech firm and assist in safeguarding our clientele against financial fraud, with a primary focus on preventing APP (Authorised Push Payment) Fraud.
Responsibilities:
Key Tasks:
Requirements:
Why Choose Us?
If you're prepared to make a positive impact and tackle an exhilarating challenge, we're interested in hearing from you. Take the initiative today to be part of our team dedicated to shielding our clients from financial crimes.
