18 beste Stellen als python in kanton waadt – aktuell auf Personalsuche

Financial Crime Analytics Officer
Swissquote Bank —Gland, VD
- 100%
- Informatik
- Englisch
- Master
Direkt bewerben
Consumer Electronics Solution Owner
Neural Concept —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Mechanikkenntnisse
- Python
Senior Scientist II, Data Science (CompBio for Translation and Biomarkers in Cardio-Renal-Metabolics)
HAYA Therapeutics —Epalinges, VD
- 100%
- Doktorat
- Python
Direkt bewerben
Senior AI Machine Learning Engineer
Nexthink —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Master
Direkt bewerben
9 Tage
Palantir Foundry Engineer (Zurich or Lausanne, Switzerland)
Unit8 SA —Lausanne, VD
- 100%
- Hybrides Arbeiten
- Python
- Erfolgsbeteiligung
- Eltern-/Erziehungsurlaub
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Tech Lead Vertical Solutions
Neural Concept —Lausanne, VD
- 100%
- CAD
- Python
Senior Software Engineer - Connectivity & Data Systems
Distalmotion SA —Epalinges, VD
- 100%
- Homeoffice
- Master
- Maturität
- SQL
Direkt bewerben
ServiceNow Architect/Solution Designer MW
Sword Technologies SA —Eysins, VD
- CHF 120’000 - CHF 140’000 pro Jahr
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Englisch
- Analysefähigkeit
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Senior Azure DevOps Engineer
ELCA Informatique SA —Pully, VD
- 100%
- Management-Erfahrung
- Windows
- Analysefähigkeit
Postdoctoral Researcher in Multimodal Human Sensing and Advanced Behavioral Data Analysis
emploi.epfl.ch —Lausanne, VD
- Doktorat
- Software-Fehlerbehebung
- Forschungserfahrung
Principal/Staff Software Engineer
Nexthink —Lausanne, VD
- 100%
- Management-Erfahrung
- Java
- Master
Direkt bewerben
Electro-Optical Test Engineer (ID:2613)
Ligentec SA —Lausanne, VD
- Homeoffice
- Doktorat
- Englisch
- Master
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Senior Design Engineer (ID: 2605)
Ligentec SA —Lausanne, VD
- Doktorat
- Englisch
- Master
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Canevas EPFL (empty)
emploi.epfl.ch —Lausanne, VD
- Microsoft Excel
- Master
- Analysefähigkeit
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Investment Portfolio Analyst
Banque Cantonale Vaudoise —Lausanne, VD
- Microsoft Excel
- Englisch
- Python
16 Std.
Stagiaire universitaire 12 mois - Investment Risk & Portfolio Analysis
Banque Cantonale Vaudoise —Lausanne, VD
- Master
- Datenbanken
- Bachelor
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Stage en analyse de données environnementales
emploi.epfl.ch —Lausanne, VD
- Microsoft Excel
- Master
- Python
16 Std.
Fullstack Software Engineer
Cisco Systems —Ecublens, VD
- 100%
- Datenbanken
- AWS
- Erfahrung mit Netzwerken
13 Std.

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Financial Crime Analytics Officer

Swissquote Bank -
Gland, VD

Direkt bewerben

Details zur Stelle

100% | Pensum: 90-100%

Qualifikationen

Französisch
Informatik
Power BI
R
Englisch
Tableau
Master
SQL
Erfahrung in der IT
Betrugsprävention & -erkennung
Kommunikationsfähigkeit
Python
Deutsch

Vollständige Stellenbeschreibung

Company Description

Building the bank of tomorrow takes more than skills.
It means combining our differences to imagine, discuss, code, develop, test, learn… and celebrate every step together. Share our vibes? Join Swissquote to unleash your potential.

We are the Swiss Leader in Online Banking and we provide trading, investing and banking services to +500’000 clients, through our performant and secured digital platforms.

Our +1000 employees work in a flexible way, without dress code and in multicultural teams.
By having a huge impact on the industry, they are growing their skills portfolio and boosting their career in a fast-pace environment.

We are all in at Swissquote. As an equal opportunity employer, we welcome candidates from all backgrounds, experiences and perspectives to join our team and contribute to our shared success.

Are you all in? Don’t be shy, apply!

Job Description

We are looking for a highly motivated Financial Crime Analytics Officer to join our Anti-Fraud & FinCrime Center team. In this role, you will be responsible for developing, enhancing, and monitoring data-driven solutions to detect and prevent fraudulent activities and financial crime.

You will work closely with cross-functional teams including Compliance, Customer Care, and Software Engineering to design scalable models and actionable insights that protect our customers and the business.

This role is part of the First Line of Defense, playing a critical role in proactively identifying, preventing, and mitigating fraud and financial crime risks.

Develop, implement, and optimize data-driven models for fraud detection and prevention (e.g., ATO, APP fraud, money mule accounts, real time and near real time transaction monitoring).
Analyze large datasets to identify suspicious patterns, anomalies, and emerging fraud typologies.
Collaborate with stakeholders to translate business needs into analytical solutions.
Build and maintain dashboards, reports, and KPIs to monitor fraud trends and model performance.
Continuously improve detection strategies, balancing fraud risk and false positives.
Support investigations by providing data insights and analytical support.
Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
Document and maintain up-to-date documentation of processes, methodologies, and solutions, ensuring that projects and workflows are clearly understood by colleagues and meet internal and external audit requirements.
Stay up to date with new fraud schemes, regulatory expectations, and industry best practices.

Qualifications

Minimum 2 years of experience in fraud prevention and/or AML within a bank, fintech, or payment services company.
Strong educational background, BS/MS in Computer Science, Mathematics, Statistics, Engineering, or a related field.
Proficiency in SQL and at least one programming language such as Python and/or R.
Experience working with large datasets and building analytical or predictive models.
Knowledge of financial crime typologies (e.g., phishing, account takeover, money mule account).
Excellent communication skills, with the ability to explain complex concepts to non-technical audiences.
Team-oriented with strong collaboration skills.
Strong problem-solving mindset with the ability to work independently and proactively.

Nice to Have

Experience with machine learning techniques applied to fraud detection.
Familiarity with real-time transaction monitoring systems.
Understanding of web traffic and RESTful APIs.
Knowledge of AML/CTF and Fraud regulations.
Experience with data visualization tools (e.g., Tableau, Power BI).

Language Requirements

Fluent English (mandatory)
French and/or German (nice to have)

Additional Information

SQ2

Direkt bewerben

Erweiterte Suche

python Jobs in kanton waadt

Financial Crime Analytics Officer

Consumer Electronics Solution Owner

Senior Scientist II, Data Science (CompBio for Translation and Biomarkers in Cardio-Renal-Metabolics)

Senior AI Machine Learning Engineer

Palantir Foundry Engineer (Zurich or Lausanne, Switzerland)

Tech Lead Vertical Solutions

Senior Software Engineer - Connectivity & Data Systems

ServiceNow Architect/Solution Designer MW

Senior Azure DevOps Engineer

Postdoctoral Researcher in Multimodal Human Sensing and Advanced Behavioral Data Analysis

Principal/Staff Software Engineer

Electro-Optical Test Engineer (ID:2613)

Senior Design Engineer (ID: 2605)

Canevas EPFL (empty)

Investment Portfolio Analyst

Stagiaire universitaire 12 mois - Investment Risk & Portfolio Analysis

Stage en analyse de données environnementales

Fullstack Software Engineer

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