Lone Tree, CO, US
10 days ago
Sr. Manager, Data Analytics, Modeling and Scams
Welcome page Returning Candidate? Log in Sr. Manager, Data Analytics, Modeling and Scams Job Locations US-TX-Southlake | US-CO-Lone Tree Requisition ID 2024-106434 Posted Date 16 hours ago(12/17/2024 6:10 PM) Category Risk & Regulatory Salary Range USD $101000.00 - $224400.00 / Year Application deadline 1/1/2025 Position Type Full time Your Opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

 

Group Overview

 

The Transaction Risk Oversight and Monitoring (TROM) is a department within the Financial Crimes Risk Management Enterprise.  Our charter is to protect our clients’ and the firm’s assets by assisting in prevention and mitigation of fraud and scam losses. TROM is responsible for overseeing 1LOD strategies which interdict fraud perpetrated by criminals in our Move-Money products and accounts – Wires, ACH, New Accounts, Visa transactions, Bank Bill Pay, Journals and other Schwab products. Additionally, TROM performs risk policy gap and risk strategy gap analysis and focuses on firmwide scam impacts.

 

The team is responsible for effectively challenging new strategies developed by our internal 1LOD partners, analyzing current fraud trends, and assuring that overall strategies are working as intended. The team also works closely with our model product owners, Schwab Model Risk Oversight organization, Internal Audit teams, and our business stakeholders and in Banking and Brokerage operations to assess risk in areas impacting fraud losses, scams, and adverse client experience.

 

Responsibilities

 

The ideal candidate will help drive the success of the 2LOD Risk Oversight Program, while focusing mainly on scams, and impact of scams to our clients and the firm, while providing oversight support to the rest of the team. Senior Manager, an individual contributor role, will work closely with peers and business partners to identify risks and target illicit behaviors, use data to quantify scam trends, losses, behaviors, gaps in policies and procedures, and support effective and efficient management of scam scenarios in the Wires, Journal, ACH, Visa, Check, and New Account product spaces. This position requires a candidate to be a self-starter and someone with strong analytical, technical, and communication skills as well as someone who is highly reciprocal.

 

Key Responsibilities include but are not limited to:

Analyze and perform a deep-dive analysis into behavior of scamsExpand knowledge of red flags, emerging risks, and analytical methodologies used to target various payment channel with respect to scams Partner with technical and non-technical resources across the business to leverage their support and to deliver valuable solutionsPro-actively analyze scam data to uncover insights that increase business value and recommend additional solutions not considered by the business partnersWork independently and collaboratively throughout the analytics lifecycle including data extraction/preparation, analysis, and documentation of resultsLeverage tools and analytical applications such as SQL, Python, R, and SAS dailySuggest enhancements to scam strategies (rules) to effectively target risky behaviorsMonitor strategies performance and perform impact analyses on recommended changesCreate effective presentations and communicate analysis approach, methodologies, summary of findings, and recommendations to business partnersApproach analytical problems with a blend of statistical/mathematical rigor and practical business intuitionProvide support to team members through training and mentorship

Key Factors for Success in This Role

 

Organizational skills: self-starter with ability to anticipate, improvise, and adapt for efficient resolutions. Consistently manage workloads effectively. Ability to marshal resources to get things done. Can orchestrate multiple activities at once to accomplish a goal. Use resources effectively and efficiently. Arrange information and files in a useful manner. Ensure that all follow-up responsibilities are completed timely and with limited direct supervision.Quality: ability to problem solve with results-oriented style delivering good quality and timeliness. Demonstrated skills in the areas of critical thinking and judgment as they relate to assessing and mitigating risk to our clients and the firm.Communication skills: work effectively across functions, maintain composure in stressful situations, and diffuse tense situations comfortably.  Client Focus: dedicated to meeting the expectations and requirements of internal and external clients. Act with the client in mind. Build and maintain efficient relationships with clients and gain their trust and respect.   What you have

To ensure that we fulfill our promise of “challenging the status quo,” this role has specific qualifications that successful candidates should have.

 

Required Qualifications

Bachelor’s degree in Statistics, Mathematics, Economics, Business Analytics, Operations Research, or similar quantitative field 5+ years’ experience in analytical roles developing intermediate/advanced SQL queries and gathering data from transactional databases across multiple platformsProven ability to leverage PowerPoint and other MS Office Applications to effectively present findingsHighly analytical with ability to solve problems and successfully understand and articulate the linkage between business decisions, business objectives, and analytical approaches & findingsStrong programming skills leveraging analytical tools such as SAS, R or Python Advanced ability to evaluate large quantities of data, summarize key findings and recommend a course of action to managementStrong interpersonal skills to successfully build long-term relationships with colleagues and business partnersHighly effective verbal and written communicationUnderstanding of risk-based decision strategy development and decision engines Demonstrable knowledge of the risk management framework, and experience with second-line of defense oversight, monitoring, and assurance activitiesStrong understanding of scams

 

Preferred Qualifications

Advanced quantitative degree Financial Crimes experienceFinancial services experience Practical experience using statistical techniques, optimization methods, predictive and descriptive models to help solve sophisticated business problemsOversight experience in Fraud and Risk Management space Options Apply for this jobApplyShareRefer a friendRefer Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. Share on your newsfeed Why work for us?

Own Your Tomorrow embodies everything we do! We are committed to helping our employees ignite their potential and achieve their dreams. Our employees get to play a central role in reinventing a multi-trillion-dollar industry, creating a better, more modern way to build and manage wealth.

 

Benefits: A competitive and flexible package designed to empower you for today and tomorrow. We offer a competitive and flexible package designed to help you make the most of your life at work and at home—today and in the future.   Application FAQs

Software Powered by iCIMS
www.icims.com

Confirm your E-mail: Send Email