Senior Data Scientist, Data Platforms for Financial Crime

Senior Data Scientist, Data Platforms for Financial Crime

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
hackajob

At a Glance

  • Tasks: Design and improve data-driven solutions to combat financial crime.
  • Company: Join HSBC, a leading global bank with a commitment to innovation.
  • Benefits: Attractive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on cutting-edge technology.
  • Why this job: Make a real difference in fighting financial crime using advanced data science.
  • Qualifications: Proven experience in data science and leadership skills.

The predicted salary is between 63000 - 77000 Β£ per year.

HSBC is seeking an experienced Senior Data Scientist, Data Platforms to design, deploy and improve data-driven solutions for Financial Crime. You will work within FC Data Platforms to deliver production-grade capabilities that enhance detection, reduce false positives and support regulatory compliance.

In this role you will lead a team of data analysts, collaborate with stakeholders across IT and business units, and help shape data lake architecture, data models and analytics pipelines.

Senior Data Scientist, Data Platforms for Financial Crime employer: hackajob

At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.

hackajob

Contact Details:

hackajob Recruitment Team

We think you need these skills to ace Senior Data Scientist, Data Platforms for Financial Crime

Data Science
Data Analysis
Machine Learning
Statistical Modelling
Data Engineering
Data Lake Architecture
Analytics Pipelines