Miscellaneous Financial Specialists jobs in Vermont
Showing 4 Miscellaneous Financial Specialists jobs available in Vermont.
Senior Data Scientist - Fraud
Seeking Professionals for a New Approach to an Old Industry
Burned Out from the 9-5? There's Another Way - Remote Role
Stop Building Someone Else's Dream - Remote Opportunity
Senior Data Scientist - Fraud at Prima – Manchester, Vermont
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About This Position
To help fuel that growth, we need a Senior Data Scientist to join our Anti Fraud Team.
In this role, you'll have the opportunity to taclke fraud, one of the most impactful and fast-evolving challenges in insurance. You will do this from a global perspective. In fact, the team is responsible for detecting fraudulent claims across all Prima markets: the UK, Spain and Italy.
You'll collaborate with engineers, claims handlers, and business leaders to improve the detection of fraud, directly influencing real world fraud decisions with impact on the company's bottom line measured in millions.
This is a highly practical area of work where strong business judgment is just as important as technical expertise.
Excited to make an impact? Here are the detailsWhat youll do- Design and improve fraud detection systems that prioritize high-risk claims, optimizing the trade-off between detection accuracy and operational efficiency
- Collaborate across teams and functions, working closely with fraud analysts, engineers, and product managers
- Develop deep expertise in fraud dynamics, identifying emerging fraud patterns, understanding how they evolve across the insurance lifecycle, and translating these insights into effective detection and prevention strategies, for example identifying suspicious networks of related claims, synthetic entities, or anomalous behavioral patterns
- At least 3 years of experience in analytical fraud detection in the Insurance, Finance or Law Enforcement domain
- Applied knowledge of network analysis, anomaly detection or risk scoring and segmentation to real fraud problems
- Strong Python programming skills, especially in the data domain, and fluent use of Git
- Knowledge of Spark, SQL or any other data-oriented programming language and proficiency with standard data wrangling and modeling libraries (Pandas, Sklearn, Keras, XGBoost, LightGBM, etc.)
- Experience in motor insurance
- In-depth knowledge of graph databases (Neo4j, AWS Neptune) and analytics (NetworkX, GNN) or explainability applied to anomaly detection
- Knowledge of BI tools (Tableau or similar)
- Proficiency in Italian and/or Spanish