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Job description

Want to join a fast growing team that provides industry leading financial risk solutions?

Job Summary:

Data Scientist

Job Location:

Hybrid/remote. This role can be carried out either remotely or from our office based in Central London.

Job Description:

Company Watch provides risk analysis and data modelling tools to organisations around the world who rely on our ability to accurately predict their exposure to financial risk. Our H-Score® predicted 92% of quoted company insolvencies around the world over the last 4 years and our TextScore accuracy rate was 93%.

Our scores are trusted by banks, corporates, investment houses and public sector bodies because, unlike other Credit Reference Agencies, we are transparent and flexible in our approach. We enable our clients to drilldown to the factors driving our analysis and provide the tools to stress-test our scores. This results in our clients being able to take evidence-based decisions and justify these to key stakeholders within their organisations.

PLEASE APPLY USING THE FOLLOWING LINK TO OUR INTERNAL CAREERS PAGE:
https://volarisgroup.wd3.myworkdayjobs.com/en-US/CompanyWatch/details/Data-Scientist_R46624-1

Key Responsibilities

• Maintenance of current models
• Tracking current models performance
• Create new models as directed by the business
• Research using machine learning techniques to uncover hidden patterns in data for producing new products
• Client driven statistical analysis projects

Experience

Essential

• Degree in a numerate subject (Maths, Physics, Computer Science, Statistics or equivalent field or good experience in a Data Science role in Financial Services
• Detailed knowledge of programming language for data science (Python or R)
• Experience developing machine learning and data mining techniques for classification and regression – including Support Vector Machines, Decision Trees, Random Forests, Gradient Boosted Machines, Discriminant Analysis
• Experience of putting machine learning models into production
• Knowledge of relational databases and using SQL
• Ability to direct your own research

Preferred

• Experience with unsupervised techniques – clustering, dimensionality reduction
• Experience of at least one other (lower-level) programming language (Scala, Java, C, C++)
• Familiarity of financial statements and company law
• Version control using git
• Experience of Linux operating systems

Nice to have

• Knowledge of data warehousing tools e.g. dbt
• Cloud Experience with GCP (preferred) or AWS
• Knowledge of graph databases – Neo4J
• Familiarity with deep learning technologies – TensorFlow/Theano
• Natural Language Processing (NLP), web scraping knowledge
• Data visualization – Shiny, Plotly
• Competent in Excel
• Experience in the Business or Credit Information industry

Personality

• Excellent English communication (written and verbal)
• Works well independently and as part of a team
• Self-motivated
• Detail-oriented with strong organisational and analytical skills
• Strong problem solver
• Keen learner

Worker Type:

Regular

Number of Openings Available:

1

Job Types: Full-time, Permanent

Benefits:

• Company pension
• Private medical insurance
• Work from home

Schedule:

• Monday to Friday

Supplemental pay types:

• Bonus scheme
• Performance bonus

Work Location: Hybrid remote in London

Expected start date: 04/09/2023