Financial Crime Screening, Data Scientist
Workday
full-time
Posted on:
Location Type: Office
Location: Glasgow • United Kingdom
Visit company websiteExplore more
About the role
- To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves
- Identification, collection, extraction of data from various sources, including internal and external sources
- Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
- Development and maintenance of efficient data pipelines for automated data acquisition and processing
- Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data
- Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities
- Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science
Requirements
- Experience in data science, analytics or quantitative research (preferably within financial services, compliance or risk domains)
- Solid experience with Python, SQL
- Knowledge of financial crime screening (e.g. sanctions screening, PEP, AML, KYC or transaction monitoring) is highly desirable
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analyticsmachine learningdata cleaningdata wranglingdata transformationdata pipelinespredictive modelsPythonSQL
Soft Skills
collaborationcommunication