Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Wiesbaden
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop analytical and control approaches for our fraud management, analyzing application and existing data to derive insight-based measures for prevention and detection.
Job Technologies
Your role in the team
- You are responsible for the professional development of our fraud management in the application and portfolio process and develop relevant analysis and control approaches.
- You analyze application and inventory data, identify anomalies and patterns, and derive effective measures for prevention, detection, and data-driven control.
- You design and evaluate use cases, scoring models, and analysis approaches, translate them into robust business cases, and make their professional and economic added value transparent.
- You monitor relevant developments in the market, evaluate new technologies and data-driven approaches, and derive concrete actions for our department from them.
- You prepare results appropriately for management and stakeholders, and present your recommendations clearly, well-founded, and convincing.
- You take over representation in top complaint management, ensuring a professionally sound, target group-appropriate, and compliant handling of management-directed complaints.
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Our expectations of you
Education
- A completed degree, for example in (Business) Informatics, Mathematics, Statistics, Data Science, Economics, or a comparable field.
Qualifications
- Interest in analytical questions related to fraud, quality, processes, and digital development.
- A good sense of economic contexts and the ability to translate analytical insights into concrete recommendations and reliable decision-making bases.
- Excellent presentation skills and the ability to tailor complex content for the audience, especially for management and decision-making templates.
- You demonstrate initiative, independence, and assertiveness, while maintaining a cooperative, appreciative collaboration with colleagues and interfaces.
Experience
- Initial solid practical experience in a data-driven, financial or similarly regulated environment; a professional entry with relevant practical experience is explicitly welcome.
- Good knowledge of Python or R as well as SQL and experience in systematically analyzing structured data and preparing it in an understandable manner.
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What we offer
- Flexible working hours in home office and office.
- Standard 38-hour workweek, time tracking system, flexible working hours & lifelong employment account.
- 30 days of vacation & additional days off (December 24th and December 31st).
- 14 monthly salaries (including Christmas and vacation bonuses) or participation in the variable compensation system, special payments, employee rates, and discount promotions.
- Company pension scheme & health management with a variety of offerings.
- Our in-house gym and a broad network of sports offerings (Wellpass) are also available to you online and nationwide.
- Job ticket, Jobrad/bike leasing, conveniently located with covered bike parking.
- Parent-Child Offices, emergency childcare for children, our own daycare "Raiffeisenzwerge," as well as a care network and support through the R+V Social Counseling.
- Healthy & balanced meals in our company restaurant.
- Promotion & Development through the R+V Academy.
- The integration of external qualification measures completes your personal and professional development.
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Benefits
More net
Health, Fitness & Fun
Work-Life-Integration
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Topics that you deal with on the job
Job Locations
This is your employer
R+V Allgemeine Versicherung
As the insurance provider of the Cooperative Financial Group Volksbanken Raiffeisenbanken, we are one of the largest German insurance groups with over 8 million customers. Some 15,600 employees are constantly developing new tailor-made and innovative insurance solutions for our customers.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
Data Scientist
- Location
- Wiesbaden
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
