20 bästa jobben som fraud i stockholm, ab (Rekryterar nu!)

Senior/Lead Data Scientist-Fraud
Klarna Bank AB —Stockholm
- 752 814SEK - 1 076 536SEK per år
- Heltid
- Engelska
- Python
Senior Mobile App Developer (iOS/Android)
Valtech Group —Stockholm
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- Engelska
Software Engineers
MSAB —Stockholm
- C++
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PK/PD Statistical Programmer (m/w/d) - homebased
IQVIA —Stockholm
- Heltid
- Masterexamen
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0105 DXC Technology Sverige AB —Stockholm
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Senior/Lead Data Scientist- Open Banking
Klarna Bank AB —Stockholm
- 775 398SEK - 1 108 832SEK per år
- Heltid
- Engelska
- Maskininlärning
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Creative Developers
MSAB —Stockholm
- C++
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VP & Managing Director, Clinical Strategic Operations, Mid-Sized Pharma Partnerships
IQVIA —Stockholm
- Heltid
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Trust & Safety Analyst Engineer
Lovable —Stockholm
- Heltid
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Evolution RNG —Stockholm
- Heltid
- Engelska
- Analytisk förmåga
- Python
- Betald semester
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Senior Data Engineer, Microsoft Fabric - Tieto Tech Consulting (m/f/d)
Tietoevry —Solna
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Mainframe IMS System Programmer
DXC Technology —Stockholm
- Jour / Beredskap
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Senior Large Applications Deal Executive
DXC Technology —Stockholm
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- Engelska
Payment Schemes & Relations Specialist
Alchemy Group —Stockholm
- Heltid
- Engelska
- Kommunikationsfärdigheter
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6 tim
VP & Managing Director, Clinical Strategic Operations, Large Pharma Partnership
IQVIA —Stockholm
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2d
Senior Sales Manager, Tieto Banktech (m/f/d)
Tietoevry —Solna
- Heltid
- Försäljning
- Engelska
- Business development
Specialist - Business Analysis
LTM —Stockholm
- Heltid
- Företagsekonomi
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- Kommunikationsfärdigheter
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Principal Biostatistician , FSP - Permanent Homebased (m/w/d)
IQVIA —Solna
- Heltid
- CRM-program
- Masterexamen

Jag vill få den senaste jobbevakningen för fraud i stockholm, ab

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fraud jobs near stockholm, ab

Senior/Lead Data Scientist-Fraud

Klarna Bank AB -
Stockholm

Ansök nu

Jobbinformation

Heltid
752 814SEK - 1 076 536SEK per år

Kvalifikationer

Engelska
S3
Python

Fullständig jobbeskrivning

What you will do

We are rebuilding our fraud detection systems from the ground up, and we are looking for data scientists who want the full mandate to do it right, from raw data to production model, at a scale that affects hundreds of millions of transactions. Klarna is a big company that still moves like a startup: fast decisions, real ownership, and models that ship. We own the full stack, and expect you to build it with us to enable your use cases. If you have the curiosity to find the right problem, the grit to build the right solution, and the ambition to see it matter, this is the opportunity.

Fraud is one of the most technically demanding problem spaces at Klarna. You will build best-in-class machine learning systems from the ground up, owning the complete pipeline from raw data through feature engineering, model design, training, and real-time production deployment. A central part of this role is converting some of Klarna's existing rules-based fraud systems into sophisticated, model-driven architectures that operate at scale across hundreds of millions of transactions.

You will build infrastructure from scratch, not maintain or extend existing frameworks. Working with engineers, analysts, and commercial stakeholders, you will translate ambiguous business problems into precise technical solutions and bring novel approaches such as graph networks, anomaly detection, and behavioural signals into production where they create real impact.

Who you are

End-to-end ML ownership across the full stack: data engineering, feature development, model design, training, low-latency production deployment, monitoring, and retraining.
Strong instinct for when a model is ready for production and when it is not.
Proven track record of building ML models and pipelines from scratch, not integrating or extending someone else's product or tooling.
Experienced building real-time or near-real-time inference systems; batch pipelines alone are insufficient.
Comfortable with large-scale datasets including hundreds of millions of transactions and high-dimensional feature spaces.
Strong Python and SQL skills with hands-on experience in scikit-learn, LightGBM, Docker, Jenkins, and modern Python packaging.
Self-motivated, fast-moving, and creative. You bring novel solutions where others reach for off-the-shelf tooling.
Communicates precisely across technical and non-technical audiences including senior stakeholders.
Degree in computer science, physics, applied mathematics, astrophysics, automatic control, mathematics, software engineering, electrical engineering, or a related quantitative field.

Awesome to have

Experience building end-to-end ML systems in early-stage startups or small greenfield teams. This is a strong positive signal.
Hands-on production experience with graph neural networks, anomaly detection, or behavioural biometrics, beyond prototyping or fine-tuning.
Familiarity with AWS (SageMaker, Lambda, S3, Athena) and CI/CD practices.
Experience mentoring or technically guiding other data scientists.

Please include a CV in English.

Curious to learn more about Klarna and what it’s like to work here? Explore our career site!

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Förfina din sökning

fraud jobb i stockholm, ab

Senior/Lead Data Scientist-Fraud

Senior Mobile App Developer (iOS/Android)

Software Engineers

PK/PD Statistical Programmer (m/w/d) - homebased

Mainframe IMS System Programmer

Senior/Lead Data Scientist- Open Banking

Creative Developers

VP & Managing Director, Clinical Strategic Operations, Mid-Sized Pharma Partnerships

Trust & Safety Analyst Engineer

Senior Data Analyst

Senior Data Engineer, Microsoft Fabric - Tieto Tech Consulting (m/f/d)

Mainframe IMS System Programmer

Senior Large Applications Deal Executive

Payment Schemes & Relations Specialist

VP & Managing Director, Clinical Strategic Operations, Large Pharma Partnership

Principal Enterprise Architect

Head of Operational Excellence, Tieto Indtech

Senior Sales Manager, Tieto Banktech (m/f/d)

Specialist - Business Analysis

Principal Biostatistician , FSP - Permanent Homebased (m/w/d)

Jag vill få den senaste jobbevakningen för fraud i stockholm, ab

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