Fraud Strategy Manager
COMPANY OVERVIEW:
This is a leading operations management and analytics company that helps businesses enhance growth and profitability. The company integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance.
The Analytics Practice provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. The company takes an industry-specific approach to transform clients’ decision making and embed analytics more deeply into their business processes. The global footprint of nearly 10,000 data scientists and analysts serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.
This US based company has more than 58,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.
POSITION OVERVIEW:
In this role, you will be involved in the First Party Fraud / Credit Abuse Strategy team for a leading US bank focusing on end-to-end delivery of analysis and seamless execution by collaborating with cross-functional teams. You will get an opportunity to derive insights from large complex datasets and impact business decisions through data-based findings.
RESPONSIBILITIES:
- Design & Implement data driven First Party Fraud/ synthetic frauds strategies, credit abuse.
- Generate and automate regular reports and dashboards for fraud-related KPIs, offering actionable insights for Senior management.
- Analyze transaction data and customer behavior to identify early warning signs of fraud and proactively address vulnerabilities.
- Identification of potential check and deposits fraud – activity related to checks, such as forged checks, counterfeit checks
- Independently address complex problems and share insights from data analysis that integrate with initial hypothesis and business objective
- Comfortable working with large datasets, including managing large number of data sources, analyzing data quality, and pro-actively working with client’s data/ IT teams to resolve issues
- Reformulate highly technical information into concise business presentations
- Create presentations and reports based on recommendations and findings
PREFERRED PROFILE:
- Bachelor’s or master’s degree in mathematics, statistics, economics, computer engineering or analytics related field
- 4+ years of consulting, analytics delivery experience in Fraud, Disputes, operations and exposure to credit card & retail banking domains
- Hands-on experience with SAS/SQL and Microsoft Office
- Excellent communication, presentation and story building skills
- Strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day complex customer problems
Desired Qualifications
- Ability to adapt to emerging analytic tools and solutions into standard operating procedures
- Knowledge of basic machine learning algorithms like decision trees, regression models and clustering
- Expertise in fraud application loss mitigation on cards portfolio
LOCATION: Remote – (with occasional travel to west coast to meet client)
Job ID# 2870358
Artemis invites you to subscribe to our free Job Alerts and “The Hunt” Blog for free insights on hiring and career development.
Artemis Referral Bonus – $500! If you know someone for this job, please join our Referral Bonus Program.