Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are seeking someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.

Responsibilities

• Perform and oversee advanced data analytics (e.g. machine learning) activities while monitoring portfolio health and identifying opportunities to drive industry leading fraud prevention and exceptional customer experience.
• Leverage advanced modeling, industry scores and partner signals to understand the drivers of the fraud risk and identify solutions for loss mitigation while balancing the risk of abandoned applications from step-up authentication.
• Deploy effective strategies for early month-on-book accounts to detect accounts that may have been opened under ID Theft and provide cases for Fraud Investigations to review and reduce the severity of confirmed fraud claims.
• Account opening and transactional fraud strategy ownership for partner finance product. This includes the extensive use of proprietary partner signals, product and store level opportunities to detect and mitigate losses while ensuring customer experience meets expectations.
• Work closely with Business, Product, Technology, Operations, and Compliance teams to implement solutions and improve the identification of high-risk accounts, deploy countermeasures for emerging fraud risks, and monitor overall health of the lending program.
• Provide analysis, design strategies for strategic projects and drive end-to-end project delivery.
• Prepare executive presentations, lead strategy and capability planning, and organize team meetings and activities.

Requirements

• 8-12 years of experience in a business analyst and project management role within the financial services sector.
• Analyzing data trends, utilizing forecasting methods such as Time Series analysis, and leveraging Machine Learning techniques such as Gradient Boost and Random Forest to perform deep dive and understand drivers and trends.
• Defining functional requirements, service level projects (SLOs), quality-related measurements and scenario-based use cases in support of the product or project management lifecycle.
• Process re-engineering and workflow design.
• Working with desktop platforms and applications, ensuring overall availability, while factoring in upstream or downstream system dependencies.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.