Conduent delivers digital business solutions and services spanning the commercial, government and transportation spectrum – creating exceptional outcomes for its clients and the millions of people who count on them.

Through a dedicated global team of approximately 60,000 associates, process expertise, and advanced technologies, Conduent’s solutions and services digitally transform its clients’ operations to enhance customer experiences, improve performance, increase efficiencies and reduce costs.

Conduent adds momentum to its clients’ missions in many ways including delivering 43 percent of nutrition assistance payments in the U.S., enabling 1.3 billion customer service interactions annually, empowering millions of employees through HR services every year and processing nearly 12 million tolling transactions every day.

As a Sr. Fraud Business Analyst, you will be responsible for analyzing transactional data that determines differing vectors of fraud attacks. You will understand attack vectors, vulnerabilities, and drive mitigation of fraud. You will monitor fraud strategy deployments, continuous adaptation of trends, and the effectiveness of the tool's abilities to detect fraud.

Responsibilities:

• Working closely with project managers to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.
• Proactively analyzing data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance.
• Identifying preventative measures; detecting anomalies, trends, discrepancies, and suspicious activity.
• Communicating areas for improvement in efficiency and productivity.
• Creating and maintaining rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources.
• Defining and implementing data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution.
• Developing and maintaining databases by acquiring data from primary and secondary sources and building scripts that will make our data evaluation process more flexible or scalable across data sets.
• Understanding requirements, gathering data from various data sources, conducting business analysis, and providing quantitative insights through presentations, reports, and dashboards.
• Analyzing and interpreting a mix of qualitative and quantitative data, constructing compelling narratives, and providing recommendations on complex topics
• Conducting analysis and turn insights into actionable changes for predictive models or policies.

Qualifications:

• Have bachelor’s degree in business administration, mathematics, computer science, economics, statistics, or a closely allied field. Or related experience 3+ years
• Possess advanced SAS and SQL skills with the ability to learn other analytic tools.
• Have experience in the design and development of interactive dashboards, reports, and visualizations using tools such as Power BI or Tableau that will create visually appealing and easy-to-understand visualizations that effectively communicate key insights to stakeholders.
• Possess three years in a reporting or business analyst role with experience working with metrics and data, reports, and providing analysis on datasets supporting a leadership team.
• Have experience with evaluating, analyzing, and creating visualizations for large or disparate datasets.
• Knowing how to manage data using common data tools such as Excel and SQL are essential. Familiarity with data analysis tools that offer machine learning.
• Proven experience in fraud detection, prevention, or analysis within a dynamic business environment.
• Identifying and defining data analytics needs as well as the structuring and analysis of data from multiple source systems for the purposes of creating and maintaining reporting.
• Show proven analytic skills, including mining, evaluation, analysis, and visualization.
• Display technical writing experience in relevant areas, including queries, reports, and presentations.
• Have experience presenting and explaining data or metrics to a nontechnical audience.
• Demonstrate written and verbal communication skills.