Data Analyst, Trust & Safety @ Gemini

About the Company

Gemini is a global crypto and Web3 platform founded by Tyler Winklevoss and Cameron Winklevoss in 2014. Gemini offers a wide range of crypto products and services for individuals and institutions in over 70 countries.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we help you buy, sell, and store your bitcoin and cryptocurrency.

At Gemini, our mission is to unlock the next era of financial, creative, and personal freedom.

In the United States, we have a flexible hybrid work policy for employees who live within 30 miles of our office headquartered in New York City and our office in Seattle. Employees within the New York and Seattle metropolitan areas are expected to work from the designated office twice a week, unless there is a job-specific requirement to be in the office every workday. Employees outside of these areas are considered part of our remote-first workforce. We believe our hybrid approach for those near our NYC and Seattle offices increases productivity through more in-person collaboration where possible.

The Department: Service Fundamentals (Trust & Safety)

Trust & Safety at Gemini is a team dedicated to stopping bad actors, securing our user’s funds, and ensuring the integrity of Gemini’s digital asset marketplace. We are a diverse group of technology, data, and operational professionals who develop new approaches to solving classic problems using cutting-edge tools and processes. Data is central to all of our business functions and drives many of our most important decisions at Gemini. As a result, the data analysts and scientists, operations associates, and engineers that make up the Trust & Safety team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide range of topics including fiat returns, identifying low-quality and fraudulent users, and using on-chain information to support fraud detection.

The Role: Data Analyst

As a member of our Trust & Safety data science team, you’ll shape the way we approach data at Gemini by using your analytical and communication skills to work with teams across the business. You will focus on customer onboarding, transactions, and payment strategies to lower payment return rates and identify and off-board bad actors from Gemini, as well as manage ad-hoc requests from cross-functional teams. You know how to ask the right questions and are passionate about using data to support and drive informed business decisions. You are ready to roll up your sleeves and are excited to take on challenging opportunities and projects. You’ll work with other data scientists, analysts, engineers, and fraud operators to guide strategies and achieve KPIs while communicating your insights with leaders across the organization.

Responsibilities:

Identify, monitor, and mitigate fraud activity
Develop and implement high precision fraud prevention controls
Process, clean, and visualize data from complex databases and create top-notch reporting solutions
Partner with product managers, engineers, fraud operations, and other functions to drive insights for the Trust and Safety team
Design experimentation frameworks such as decision trees and A/B tests, identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates
Identify leading indicators of fraud losses, and develop strategies to improve fraud capture rates
Perform root cause analysis and resolve production and data issues
Create test plans, test scripts, and perform data validation
Tune SQL queries, reports, and ETL pipelines
Build and maintain data dictionary and process documentation
Research new tools and technologies to improve existing processes

Minimum Qualifications:

4+ years experience in data analytics or strategy analytics
4+ years experience developing BI applications (Tableau/Looker/Power BI, etc)
Advanced skills with SQL are a must
Proficient in Python
Experience with one or more MPP databases (Redshift, Bigquery, Snowflake, etc)
Experience with one or more ETL tools (Informatica, Pentaho, SSIS, etc)
Experienced in working collaboratively across different teams and departments
Strong technical and business communication
This role may require on-call rotations

Preferred Qualifications:

Proficient in Developing LookML
Knowledge and experience of financial markets, banking, or exchanges
Experience working in small firms or startup technology first

It Pays to Work Here

The compensation & benefits package for this role includes:

Competitive starting salary
A discretionary annual bonus
Long-term incentive in the form of a new hire equity grant
Comprehensive health plans
401K with company matching
Paid Parental Leave
Flexible time off

Salary Range: The base salary range for this role is between $120,000 - $150,000 in the State of New York, the State of California, and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

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