At a Glance
- Tasks: Design and operate financial risk scoring systems using machine learning and big data.
- Company: PLP Group, a leader in fintech analytics and machine learning.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Work with large datasets and evolve scoring algorithms in a dynamic environment.
- Why this job: Join a cutting-edge team and make impactful decisions in the fintech space.
- Qualifications: Strong ML theory, data engineering skills, and fintech experience required.
The predicted salary is between 70000 - 90000 £ per year.
PLP Group is seeking a Senior Machine Learning Engineer and Data Analyst to design, extend and operate financial risk scoring systems at scale. You will work on models and pipelines processing hundreds of terabytes of data, balancing accuracy, explainability and robustness for production decisions.
The role sits at the intersection of ML, fintech analytics and big-data engineering, requiring strong ML theory, hands-on data engineering and pragmatic fintech experience to evolve scoring algorithms.
ML Engineer & Data Analyst, Financial Risk Scoring Remote employer: PLP Group
CellPoint Digital is an exceptional employer that champions innovation and collaboration in the heart of London. With a strong focus on employee growth, we offer competitive salaries, a dynamic work culture, and opportunities to lead transformative projects in cloud technology. Join us to be part of a forward-thinking team that values automation, security, and developer experience.
