Data Analytics/Fraud Strategy Analyst

3 weeks ago

Indianapolis, United States CareerBuilder Full time

Your Opportunity

At Schwab, youre 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 Corporate Risk Management 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 Transaction Risk Interdiction and Detection team (TRIAD) manages risk of fraud loss in money movement and account open transactions. This individual contributor role is accountable for successfully optimizing client experience, fraud loss, and operational burden in their assigned fraud prevention channel(s).

What you have

An understanding of fraud risk decision strategy development and decision engine strategies is preferable. Understanding of working with model vendors such as Actimize is a plus.
An understanding of fraud interdiction strategy and development with 2+ years of data analytics and/or general analysis experience, ideally in a fraud risk management environment. Furthermore, partnered with demonstrated ability in quantitative and analytical skills; experience in payments and/or payments fraud preferred
Strong technical concepts: understanding how to work in a team with an agile methodology and understanding the SDLC process.
Strong SQL experience is a must with experience working with database platforms such as Oracle, Teradata, Google BigQuery to use with Python, SAS, Tableau, Hadoop, or other Big Data solutions.
Demonstrated ability to process large quantities of data, summarize key findings, and present effectively to team members, senior leadership and internal customers
Working knowledge of gathering and documenting data requirements and analyzing those requirements from a business perspective. Also being able to liaise between technology and business partners effectively and cross communicate with both parties.
Willing to work in a collaborative team culture where you are empowered to work with direction but are expected to deliver on tasks in a larger project setting or independently.
Bachelors degree in Data Analytics, Finance, Mathematics, Statistics, or related field or equivalent experience
Advanced knowledge of Microsoft Office products especially Excel
Understanding of and experience in wire transfer, (FedWire), a plus.
Understanding of and experience in ACH a plus.

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