Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
About the role
- Understand: analyze end-to-end LS pipelines and pinpoint pain points
- Translate: convert user insights into crisp specs and priorities
- Validate: define reference workflows/benchmarks and measure impact
- Activate: create quickstarts/guides; improve onboarding & success metrics
- Accelerate: identify bottlenecks and turn perf wins into product
Requirements
- Life Sciences background (bioinformatics, comp bio, medical imaging, chem/ADMET)
- Strong Python/ML and a sound experimentation/evaluation mindset
- Data fluency (SQL/analytics), reproducibility, pragmatic pipeline experience
- GPU fundamentals (batching, memory/throughput)
- Clear communication: turn feedback into tight specs & great docs
- Bonus Points: Experience with large-scale single-cell, digital pathology, or protein/chem tasks
- Familiarity with clinical/RWD contexts, data governance & QA standards
- Public tech writing or OSS contributions
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AM
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