Job Descritpion
DATA SCIENTIST
We are an award-winning Fintech, providing trade finance distribution, automation, securitisation service and AI-based credit analytics to major banks, asset managers and credit insurers. Machine learning is at the core of proposition and it is key to automating decision making in the £10bn trade finance industry. We are developing our core models in-house, but use collaborations with leading universities to experiment with new approaches.
We are seeking a Data Scientist to join our expanding AI team. As a member of our team, you will be able to work on the full stack of our Machine Learning models at all stages of their development and deployment.
The Company
At Tradeteq we thrive in an environment where everyone is included and respected, with a team that strives for excellence. Our values around innovation means that we are curious and not afraid to ask difficult questions, not only around the innovations of our platform, but our internal and operational innovations too. When we are in the office, there is always a fully stocked snack draw and Friday lunches on us. We are big on work life balance, and work around our core hours, and our investment in IT, and use of Slack and Zoom is perfect for flexible working!
The Role
- Improving our existing models and developing new models for evaluation of company and transaction credit risk
- Working on recommender systems, portfolio optimization, and automated outlier detection
- Liaising with new clients, understanding and mapping their datasets, identifying important questions and answering them with data
- Explaining modelling results to clients and producing model reports for them
- Finding and setting up new alternative data feeds
- Deploying new models into production environment
The Skills required
- Expert knowledge of the modern Python Data Science stack
- Strong programming skills
- Good understanding of machine learning and statistical techniques
- A PhD or MS in Science/Technology/Engineering/Mathematics or another relevant field
- Experience processing and analyzing large datasets
- Good understanding of machine learning and statistical techniques
Desirable skills
- Experience with Microsoft Azure
- Graph machine learning
- Feature engineering
- Financial data
Benefits
- Competitive salary and pension contributions
- 25 days’ holiday plus bank holidays
- Private Healthcare
- A range of flexible benefits including Retail Discounts and Cycle2Work scheme