Data Scientist, Klar

Germany

Salary not provided

+ Chance of earning Klar stock options

SQL

Python

Tensorflow

Pandas

Scikit-Learn

PyTorch

Keras

dbt

Senior and Expert level

Remote from Europe

More information about location

Digital banking platform

Be an early applicant

Digital banking platform

201-500 employees

FintechB2CB2BBankingPersonal financeFinancial ServicesMobile

Be an early applicant

Salary not provided

+ Chance of earning Klar stock options

SQL

Python

Tensorflow

Pandas

Scikit-Learn

PyTorch

Keras

dbt

Senior and Expert level

Remote from Europe

More information about location

201-500 employees

FintechB2CB2BBankingPersonal financeFinancial ServicesMobile

Company mission

To democratize and revolutionize the way in which financial services have been delivered so far in Mexico.

Job

Company

Role

Who you are

Master's degree or above in Data Science, Computer Science, Statistics, Mathematics, or a related field
5+ years of experience in Data Science, Machine Learning, or a related field
Strong proficiency in Python and SQL
Experience with Machine Learning libraries such as Scikit-Learn, XGBoost, TensorFlow, Keras, and Pytorch
Experience owning models or analytical systems end to end, including performance monitoring, retraining, documentation, and stakeholder alignment
Comfort using AI coding assistants, such as Claude Code and Codex, to improve productivity
Proficiency in data analysis, visualization, and manipulation tools such as Pandas, Matplotlib, and Seaborn
Optional, but a plus:
Experience with credit risk, fraud, underwriting, lending, financial services, or another regulated decisioning domain
Experience with dbt (Data Build Tool) to transform SQL data
Experience working with novel, transformer-based architectures
Strong problem-solving skills and the ability to think creatively
Ability to communicate model tradeoffs, risk implications, and business impact to technical and non-technical stakeholders

What the job involves

We are looking for an Individual Contributor to join our Credit Card team. In this role, you will play a key part in modernizing and improving our Machine Learning models; and collaborate with other team members to continuously explore the application of cutting edge technologies to credit risk
Design, build, and optimize Machine Learning models powering origination, behavioral scoring, limit management, and early-warning systems
Leverage alternative data sources including transaction behavior, merchant data, and device intelligence to improve predictive performance
Evaluate and implement the infrastructure required to deploy, monitor, and retrain models at scale
Explore the applications of novel architectures (transformers, foundational models, etc.) for credit risk and related tasks
Collaborate with cross-functional teams to identify opportunities for data-driven insights and solutions
Work with other members of the Credit Risk team to build credit policies across the full customer lifecycle: origination, limit management, restructuring, and write-offs
A lot of autonomy and ownership: you will own at least one Machine Learning model end-to-end
Communicate findings and insights to technical and non-technical stakeholders

Our take

A recent study showed that only 37% of Mexicans over the age of 15 have a bank account. Backed by Mastercard, Klar wants to change that statistic. Not only is it trying to create an easier day-to-day banking experience for its users, but it's also actively looking to help its users apply for credit with no annuity.

Klar has made an impact in the space (successfully attracting three million users) and has been experiencing a period of hypergrowth. As a result, it has attracted significant funding and also acquired SOMOS, a credit data service. These big wins for Klar will enable it to continue to challenge some more well-established competitors like Kubo and Fondeadora.

Moving forward on the back of $200 million in funding between 2021 and 2025, the company is focused on strengthening its credit offerings, building more borrowing products and reaching profitability.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

13% employee growth in 12 months

Glassdoor (4.6)

Trustpilot (1.8)

Company

Funding (last 2 of 4 rounds)

Jul 2025

$170m

SERIES C

Jun 2022

$70m

LATE VC

Total funding: $262.5m

Company benefits

Vacation days
Stock options
Flexible work environment, with home office and remote work arrangements
An international work environment with amazing and highly skilled people
A world-class team that helps you evolve your skills in areas you're interested in
An opportunity to have a real impact in one of the most exciting emerging markets

Company HQ

Hipódromo, Ciudad de México, CDMX

Leadership

Stefan Moller

(Founder & CEO)

Previously Venture Director at Nova Founders Capital, Manager at Bain & Company and undertook an MBA Summer Internship at Amazon in 2013.

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