Fraud Detection Data Analyst

Role As a Fraud Detection Data Analyst you will help detect anomalous behavior indicative of sybil attacks & collusion. These behavioral observations are turned into analysis confirming the intent of the behavior. Communicating this information using data visualization and narrative formats is a key component of this role. Responsibilities There are two primary modes of work you will encounter during our 3 month “seasons”. During the grant rounds: -Exploratory analysis to find signals of sybil behavior -Evaluating flagged users to find behavioral observations -Develop data driven justification for/against flagged grants and users eligibility -Drafting a Post Round Fraud Analysis report Between the grant rounds: -Iteratively improve an in-round analysis run book -Quality check key data sets (ground truth) -Collaborate with data science & ML engineers on feature engineering -Collaborate with data operations to optimize analyst efficiency -Collaborate with data relations to build a participatory data community -Participate in objective & key result brainstorming FDD Participation (How we work) -Primarily Asynchronous with optional Work in Public times: 1 hour weekly Gitcoin update meeting 1 hour weekly FDD update meeting 1 hour weekly project management alignment meeting 80/20 rule - Work on objectives / Innovation & new ideas Job Qualifications Minimum qualifications -Two years’ experience as a data analyst, and a bachelor’s or master’s degree in a relevant discipline or equivalent training. -Experience performing exploratory data analysis, creating reports and sharing insights in the form of data visualizations for internal stakeholders. -Experience with working with diverse datasets using SQL and either Python or R. -Experience with data visualization and dashboard tools (e.g. tools like Metabase, Plotly, Looker, Tableau). -You communicate in a clear and concise way that creates shared context -You face blockers as challenges and ask us for support -You bring your self-driven motivation to work -You balance your need for autonomy with our need of alignment Preferred qualifications -Experience working in web3, analyzing on-chain data, or contributing to open source projects -Familiarity with basic frontend web technologies (ability to read JavaScript, ability to write basic html/css). -Deep commitment to digital public goods