Fraud Model Analyst
About The Position
Supports the team with analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights. Participates in the data gathering, data processing and data mining of large and complex datasets. Supports the team in developing algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes. Assists with analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling. May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.
Requirements
- University / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
- Bachelors (Required)
Nice To Haves
- Analytical Thinking
- Competitive Advantages
- Data Analytics
- Data Mining
- Data Science
- Machine Learning (ML)
- Python (Programming Language)
- R Programming
- Structured Query Language (SQL)
- Data Architecture
- Data Mining
- Disruptive Innovation
- Information Capture
- Machine Learning
- Modeling: Data, Process, Events, Objects
- Prototyping
- Query and Database Access Tools
Responsibilities
- Supports the team with analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights.
- Participates in the data gathering, data processing and data mining of large and complex datasets.
- Supports the team in developing algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes.
- Assists with analytical experiments in a methodical manner to find opportunities for product and process optimization.
- Assists in the presentation of business insights to management using visualization technologies and data storytelling.
- May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.
Benefits
- medical/prescription drug coverage (with a Health Savings Account feature)
- dental and vision options
- employee and spouse/child life insurance
- short and long-term disability protection
- 401(k) with PNC match
- pension and stock purchase plans
- dependent care reimbursement account
- back-up child/elder care
- adoption, surrogacy, and doula reimbursement
- educational assistance, including select programs fully paid
- a robust wellness program with financial incentives
- maternity and/or parental leave
- up to 11 paid holidays each year
- 9 occasional absence days each year, unless otherwise required by law
- between 15 to 25 vacation days each year, depending on career level; and years of service
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
