Manager, Risk Analytics / Modeling

Your Opportunity

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.

The mission of Banking Operations Transaction Risk Interdiction and Detection (TRIAD) team is to provide an integrated risk management strategy that supports delivery of predictable financial and operational performance in order to produce successful client and shareholder outcomes. The TRIAD team manages risk of fraud loss in money movement and account open transactions. The Manager role is an individual contributor role accountable for successfully optimizing client experience, fraud loss, and operational burden in their assigned fraud prevention channel(s). The specific areas are with Schwab MoveMoney products such as Wires, Journals, ACH, BillPay, and Checks and as well as with the Schwab new account open process.  The ideal candidate will have a working knowledge of using fraud models (in-house or 3^rd party) to interdict fraudulent behaviour effectively while balancing operational effectiveness and client experience. 

What you have

Required Experience:

• 3+ years 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 (3^rd 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, to name a few, with ability to leverage BI tools/code such as Python, SAS, or Tableau for value-add data analysis.
• 5+ 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. 
• Bachelor’s degree in Data Analytics, Finance, Mathematics, Statistics, or related field is preferred but can be offset with demonstrated experience in a work setting.
• Advanced knowledge of Microsoft Office products especially Excel

Key Factors for Success in This Role

• Organizational skills: 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 (with respect to Visa debit card transactions)
• Communication skills (verbal and written): work effectively across functions, maintain composure in stressful situations, and diffuse tense situations comfortably.  The ability to yell early and often to avoid not meeting expectations and to be able to liaise between our technical partners and business stakeholders. 
• 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 are good at

What you have

Required Experience:

• 3+ years 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 (3^rd 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, to name a few, with ability to leverage BI tools/code such as Python, SAS, or Tableau for value-add data analysis.
• 5+ 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. 
• Bachelor’s degree in Data Analytics, Finance, Mathematics, Statistics, or related field is preferred but can be offset with demonstrated experience in a work setting.
• Advanced knowledge of Microsoft Office products especially Excel

Key Factors for Success in This Role

• Organizational skills: 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 (with respect to Visa debit card transactions)
• Communication skills (verbal and written): work effectively across functions, maintain composure in stressful situations, and diffuse tense situations comfortably.  The ability to yell early and often to avoid not meeting expectations and to be able to liaise between our technical partners and business stakeholders. 
• 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.