Charles Schwab · 2 days ago

Manager, Fraud/Risk Analyst

Phoenix, AZ

Full-time

Hybrid

Mid Level

3+ years exp

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Financial Services

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Insider Connection @Charles Schwab

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Manage risk of fraud loss in money movement and account open transactions.

Optimize client experience, fraud loss, and operational burden in assigned fraud prevention channels.

Use fraud models to interdict fraudulent behavior effectively while balancing operational effectiveness and client experience.

Anticipate, improvise, and adapt for efficient resolutions.

Problem solve with results-oriented style delivering quality and timeliness.

Work effectively across functions and maintain composure in stressful situations.

Qualification

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Financial servicesTransactional fraudFraud riskSQLOracleTeradataGoogle BigQueryBI toolsPythonSASTableauData analyticsData analysisFraud risk managementEnterprise Risk EngineActimizeOASISBank Bill PayVisaQuantitative skillsRisk indicatorsMicrosoft OfficeExcelProblem-solvingAnalytical skillsCommunicationTeamwork

Required

Bachelor’s degree in Data Analytics, Finance, Mathematics, Statistics, or related field or equivalent experience.

2+ years of experience in financial services with a focus on transactional fraud (Wires, ACH, Journals, Zelle, and others) as well as with new account fraud. This includes a strong understanding and use of fraud risk decision strategy development experience. In addition, a history of working effectively with such fraud model vendors such as Actimize, ThreatMetrix, Qualifile, and other similar models (3rd party or developed in-house).

Strong SQL experience (5+ years) is a requirement with demonstrated ability with platforms such as Oracle, Teradata, and Google BigQuery, etc. with ability to leverage BI tools/code such as Python, SAS, or Tableau for value-add data analysis.

3+ years of data analytics and/or general analysis experience, ideally in a fraud risk management environment with proven ability to review historical transactions flowing through Enterprise Risk Engine (Actimize), check fraud model (OASIS), Bank Bill Pay, Visa, and New Account models using SQL to arrive at actionable insights and rule strategies. This includes the ability in writing queries from scratch and editing existing scripts to pull data related to new account openings and move money transactions.

Demonstrated ability in quantitative and analytical skills by being able to translate data into actionable fraud strategies, summarize key findings, and present effectively to team members, senior leadership, and other stakeholders. In addition, a demonstrated knowledge of key risk indicators and how to calculate key risk metrics.

An ability to read, edit, and create model white papers, model performance metrics, and model technical papers for audit review and oversight.

Advanced knowledge of Microsoft Office products, especially Excel.