Credit Risk Quant Engineer - End-to-End Modelling

Adviat; Oslo; On-site; NOK 700,000 - 900,000; Full time

Benefits offered by this job

Richest dataset in the Nordics

Real ownership in projects

Collaboration with a skilled product team

Job summary

A leading financial technology company in Oslo is seeking a skilled quant for an impactful role focused on the full lifecycle of credit risk models. You will design and maintain models for companies and individuals using advanced statistical and machine learning techniques. Ideal candidates are proficient in Python and have experience with production models. The position offers real ownership and the opportunity to work with Norway's richest datasets in a collaborative and innovative environment.

Qualifications

• Strong foundation in quantitative methods, statistics, probability, and machine learning.
• Proficiency in Python; experience with dataframe libraries like Polars or Pandas.
• Experience building predictive models in a production setting.

Responsibilities

• Design, build, and maintain credit scoring and risk models for both companies and persons.
• Own the full modelling lifecycle: ideation, feature engineering, training, validation, monitoring, and iteration.
• Translate complex model outputs into clear insights for stakeholders.

Skills

Quantitative methods

Statistics

Probability

Machine Learning

Python proficiency

Dataframe libraries (Polars, Pandas)

Tools

MLOps

Backtesting frameworks

Job description

A leading financial technology company in Oslo is seeking a skilled quant for an impactful role focused on the full lifecycle of credit risk models. You will design and maintain models for companies and individuals using advanced statistical and machine learning techniques. Ideal candidates are proficient in Python and have experience with production models. The position offers real ownership and the opportunity to work with Norway's richest datasets in a collaborative and innovative environment.