Pliant
FinTech
SeniorCreditRiskDataScientist(m/f/d)
“Senior Credit Risk Data Scientist (m/f/d) at Pliant. Skills: Credit risk models, ML infrastructure, Automated decisioning. Build credit risk models. Validate credit risk models”
Industry & Context.
Credit intuition
What They're Looking For.
Must Have
Degree in quantitative or engineering discipline, 3–5 years data science, ML engineering, or quantitative credit risk, Production model deployment experience, Python capability, SQL skills
Nice to Have
PhD preferred, Experience with pipeline orchestration tools, Experience working with APIs, Experience with decision engines, Experience with data aggregation and orchestration services, Familiarity with open banking data, Familiarity with transaction level insights, Fluent in additional European languages
What You'll Do.
Build credit risk models
Validate credit risk models
Deploy credit risk models
Define target variables
Design data pipelines
Integrate behavioural data
Integrate open banking feeds
Integrate bureau data
Integrate third-party sources
Develop automated credit decisioning logic
Test automated credit decisioning logic
Iterate on automated credit decisioning logic
Translate model outputs
Monitor decision engine performance
Build ML infrastructure
Analyse portfolio performance
Identify risk drivers
Translate empirical findings
Design early warning systems
Build early warning systems
Surface deteriorating credit quality
Enable proactive portfolio management
Enable collections prioritisation
Partner with Risk Management
Partner with Data teams
Partner with Engineering teams
Build E2E data processes
Manage cross functional projects
Drive project delivery
Facilitate information flow
Support data driven decision making
Support development of culture
How You'll Work.
Team & Collaboration
Risk Management teams; Data teams; Engineering teams; Cross functional projects
Communication Scope
Fact based information flow; Data driven decision making
Process & Methodology
Agile development, Own projects, Drive projects
Applying for this Senior Credit Risk Data Scientist (m/f/d) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Pliant?
Real rants from real employees. Read before you apply.