Senior Fraud Data Analyst

Patelco Credit Union

About Patelco Credit Union:
We’re here to help people in communities throughout Northern California build financially healthy lives. We do this by being attentive and partnering with our members to understand what is financially best for them. We thrive on change, and we put people first. If you’re looking to use your skills and knowledge to make a difference in the lives of others, we look forward to hearing from you.
Patelco Credit Union is a not-for-profit credit union committed to serving the financial health and wellbeing of its membership. With more than 400,000 members primarily in and around northern California, Patelco is committed to improving their members’ financial well-being and fueling hope and opportunity for its members by offering personalized solutions, advice, and expertise that empower them to achieve personal financial freedom. Founded in 1936 with $500 in assets by employees of the Pacific Telephone and Telegraph Company, Patelco is in the top one percent of U.S. credit unions with more than $9 billion in assets.
The Senior Fraud Data Analyst will support the Fraud Prevention team by conducting data driven analysis to better understand Patelco’s fraud exposure, understand the Fraud Prevention Team’s operational performance, and identify areas of improvement with the Fraud Prevention realm. This person will work cross functionally with multiple business teams to understand their products and the data related to them. This position requires to work closely with technology teams to understand available data, locate pertinent data and improve Patelco’s overall data infrastructure and data availability in relation to the Fraud Prevention team.
The ideal candidate for this role has a solid understanding of data analysis and reporting techniques, including solid SQL knowledge and familiarity with data visualization tools such as Tableau or similar. They will be able to extract data synthesize insights and clearly convey their insights to management and coworkers.
Creates, maintains, and produces regular reporting to measure various aspects of Fraud Prevention performance.
Partners with business and technology stakeholders to understand the data landscape related to fraud and implement changes necessary to create a complete picture of fraud for Patelco.
Performs in depth analysis on large data sets related to fraud, transactional and account data.
Analyzes historical account, transaction, and fraud data to understand the impact of proposed product, feature and control changes on fraud exposure and performance.
Uses data driven methods to analyze the effectiveness, ideate iterative improvements, and identify gaps in existing fraud controls.
Independently creates regularly delivered dashboard to enable Fraud Prevention management to effectively manage the team and overall fraud business.
Creates regularly delivered dashboards to communicate fraud performance to executive management.
Uses data driven methods to identify fraud trends and validate fraud trends identified by fraud prevention.
Supports fraud prevention with ad hoc data and reporting as necessary.
Leads implementation of new fraud tools from a data and analysis perspective to ensure all necessary data is being captured and made available for analysis.
Performs data analysis to assess the value of existing vendors and fraud solutions and to estimate the impact of potential new vendors and solutions.
Forecasts losses based on both historical data and partial actual data
Bachelor’s degree in a technology or quantitative field (computer science, information systems, mathematics, statistics, physics, economics, etc.)
5+ years of professional experience as a data analyst at a financial services or fintech company is preferred
Advanced proficiency in Microsoft Office programs (Word, Excel, Outlook)
Advanced proficiency using in data analysis using Tableau, SQL, and other data analysis techniques
Experience with data visualization tools such as Tableau or others is a must
Expert understanding of financial services and banking products and the data associated with them including deposit products, payment card products and money transfer products such as ACH, Zelle, wires, etc.
Strong knowledge of data related to website and mobile application usage
Strong understanding of data architecture including identifying relevant data in diverse data sets, determining keys and methods to use to join data and ability to suggest designs for fraud related data marts
Experience with the creation of forecasts of fraud related losses based on both historical and partial actual data, including design, or forecasting methods
General understanding of fraud methods and concepts related to financial services and banking
This role is based in our Dublin Headquarters.
This position is eligible for hybrid work arrangements.
Prolonged sitting throughout the day performing data entry at keyboard/monitor/desk.
Occasional movements throughout the department to interact with staff and accomplish tasks.
Target Base Pay:
$84210 – $105259 / year
Compensation at Patelco:
Please note that the salary information is a general guideline only. Patelco Credit Union considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer. We offer a competitive total rewards package including a wide range of medical, dental, vision, financial, and other benefits.
We Offer:
An inspiring career that benefits both you and your community
Competitive compensation packages with bonus opportunity
Full Medical/Dental/Vision benefits with minimal eligibility waiting period
Generous 401(k) with 3% Safe Harbor and 5% employer match
Discounts on loan products
Tuition Reimbursement
Onsite Fitness Center at HQ and rewards for healthy habits
Close proximity to BART, restaurants and shopping
Patelco Credit Union is an Equal Opportunity Employer including individuals with disabilities and protected veterans

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