Quantitative Engineer - Credit Modelling Bislab | Full-time / On-site | Oslo

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

Overview

Full-time • On-site in Oslo

Who we are looking for

We are looking for a quant who wants to own the full lifecycle of credit risk models, from ideation to production.

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.
• Develop backtesting frameworks and champion/challenger setups to validate model performance.
• Translate complex model outputs into clear insights for product and commercial stakeholders.

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 and maintaining across the MLOps lifecycle.
• Comfort working with messy, high-dimensional real-world data.
• Ability to communicate technical work clearly to non-technical audiences.

Nice to Have

• The instinct to own a problem end-to-end, not just hand off deliverables.
• Curiosity about the intersection of classical credit risk and modern ML/AI techniques.
• Eagerness to adopt and gain experience with using modern AI tools to automate boilerplate.
• Own the future of credit modelling with the Nordics' richest dataset.

About the job

Bislab is a rapidly scaling AI-native innovator building Norway's most advanced credit intelligence platform. You will join our Quant team, owning credit modelling and other risk models at Bislab. This is a hands-on, high-ownership role where you will build and maintain the quantitative models at the heart of our products, working with real data at scale.

Design, build, and maintain credit scoring and risk models for both companies and persons.

Work hands-on in a modern Python stack on Norway's richest person and company dataset.

Ownership

Own the full modelling lifecycle: ideation, feature engineering, training, validation, monitoring, and iteration.

Validation

Develop backtesting frameworks and champion/challenger setups to validate model performance.

Translation

Translate complex model outputs into clear insights for product and commercial stakeholders.

A place for impact

Why Join Bislab?

Richest dataset in the Nordics

Work with full-population coverage of all entities, updated continuously.

Real ownership

You set the direction on credit modelling, not just execute on someone else\'s spec.

Work alongside a product team pushing the frontier, using AI tools to accelerate development.

Key stats

~12 years average team experience

Our culture

Be good to each other — We assume positive intent and actively listen to others’ ideas and perspectives.

Let the best idea win — We determine the best approach through open discussion, not hierarchy, fostering an environment free of corporate bullshit.

Simpler is better — While problems can be complex, we believe the simplest solution is almost always the most effective.