Quant Analytics Manager - Vice President
- Identify areas requiring deep dives on our emerging fraud trends to identify and understand new attack patterns
- Provide independent assessment on root cause /drivers behind variance of actuals vs. forecast
- Support forecasting process for some of our operating loss lines across baseline and stress scenarios
- Manage / Develop / Enhance Long term and short term Loss forecasting framework across loss channels
- Liaise with Product, Operations, business functions and strategy owners to understand business changes and operations/customer impacts and to implement the same in forecast adjustments
- Develop various senior management presentations on Monthly / quarterly/annual on Fraud Loss including for Risk Committees, Regulators
- Take complete ownership and accountability towards managing to budget, explaining variances, driving actionable insights towards delivering on goals and priorities for the business / function
Required Qualifications, Capabilities and Skills:
- Bachelor's degree with a minimum of 6-8 years of relevant experience in analytics space
- Ability to manage multiple priorities and deadlines, work independently, perform under pressure and balance competing priorities under tight deadlines
- Ability to create senior management financial presentations including communication of Risk/Opportunities and emerging trends.
- Strong analytical and quantitative skills, critical thinking, investigative problem-solving and decision making talents
- Strong communication skills, including active listening and the ability to capture and deliver key takeaways from engagements in writing
- Ability to query large amounts of data and transform the raw data into actionable management information
- Ability to problem solve synthesize / analyze diverse information, develop recommendations, and makes decisions
- Critical eye for detail and strong project management skills
- Highly proficient in Microsoft Office suite of products.
Preferred Qualifications, Capabilities and Skills:
- Advanced degree is preferred.
- Prior experience in Finance/ Risk roles preferred.
- Working knowledge of financial budgeting and planning analysis preferred
- Experience with SAS, SQL, Teradata and Tableau
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