Required Senior Fraud Data Analyst
Description
Come [legally] hack with us the data on the largest exchange thats running our world. Not NASDAQ; the one with way more events – the Global Ads Exchanges, where millions of ads are born and clicked every second. Step behind the curtain of algorithms and competitors that move $1T of annual budgets. Plunge into a world of ISP-volumes of traffic, sub-second predictions, and TBs of live, real-world data. Use cutting-edge analysis, ML, engineering, or just plain hacker-like thinking to out-perform the market.
A Data-Science startup, leveraging data analysis, ML, engineering, and multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 1,000,000 requests per second and serving over 20B sub-second predictions daily, we build and operate Machine Learning algorithms running on the worlds largest Real-time-bidding (RTB) Ad-Exchanges.
Join the Data Battle Against Ad Fraud
Dive into the fast-paced, high-stakes world of real-time advertising, where fraudsters are constantly inventing new ways to game the systemand were here to stop them. This isnt about catching yesterdays fraud. Its about building systems that predict, detect, and outsmart malicious behavior as it happens, across billions of data points and signals.
At our company, fraud isnt just a problemits a puzzle. Were looking for a sharp, curious, and experienced Senior Fraud Data Analyst to take a leading role in uncovering abuse, analyzing behavioral anomalies, and developing data-driven strategies to stay one step ahead. If you love connecting the dots in messy data, challenging assumptions, and working with others to build smarter defensesthis role is for you.
What Youll Do
Analyze & Interpret Data: Use SQL and Python to query large datasets, detect anomalies, conduct root cause analysis, and uncover fraud patterns while also providing prescriptive insights to optimize business performance.
Drive Business Insights: Identify trends in ad performance, diagnose inefficiencies, and provide data-driven recommendations that impact KPIs and company strategy.
Combat Fraud in Real Time: Identify fraudulent trends, investigate suspicious traffic patterns, and take action to mitigate risk.
Develop & Improve Detection Models: Work with data engineers and data scientists to refine fraud detection and optimize real-time prevention strategies.
Collaborate Across Teams: Partner with business stakeholders to strengthen fraud defenses across our platforms.
Stay Ahead of Fraudsters: Keep up with evolving fraud tactics and propose proactive solutions to prevent emerging threats.
Description
Come [legally] hack with us the data on the largest exchange thats running our world. Not NASDAQ; the one with way more events – the Global Ads Exchanges, where millions of ads are born and clicked every second. Step behind the curtain of algorithms and competitors that move $1T of annual budgets. Plunge into a world of ISP-volumes of traffic, sub-second predictions, and TBs of live, real-world data. Use cutting-edge analysis, ML, engineering, or just plain hacker-like thinking to out-perform the market.
A Data-Science startup, leveraging data analysis, ML, engineering, and multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 1,000,000 requests per second and serving over 20B sub-second predictions daily, we build and operate Machine Learning algorithms running on the worlds largest Real-time-bidding (RTB) Ad-Exchanges.
Join the Data Battle Against Ad Fraud
Dive into the fast-paced, high-stakes world of real-time advertising, where fraudsters are constantly inventing new ways to game the systemand were here to stop them. This isnt about catching yesterdays fraud. Its about building systems that predict, detect, and outsmart malicious behavior as it happens, across billions of data points and signals.
At our company, fraud isnt just a problemits a puzzle. Were looking for a sharp, curious, and experienced Senior Fraud Data Analyst to take a leading role in uncovering abuse, analyzing behavioral anomalies, and developing data-driven strategies to stay one step ahead. If you love connecting the dots in messy data, challenging assumptions, and working with others to build smarter defensesthis role is for you.
What Youll Do
Analyze & Interpret Data: Use SQL and Python to query large datasets, detect anomalies, conduct root cause analysis, and uncover fraud patterns while also providing prescriptive insights to optimize business performance.
Drive Business Insights: Identify trends in ad performance, diagnose inefficiencies, and provide data-driven recommendations that impact KPIs and company strategy.
Combat Fraud in Real Time: Identify fraudulent trends, investigate suspicious traffic patterns, and take action to mitigate risk.
Develop & Improve Detection Models: Work with data engineers and data scientists to refine fraud detection and optimize real-time prevention strategies.
Collaborate Across Teams: Partner with business stakeholders to strengthen fraud defenses across our platforms.
Stay Ahead of Fraudsters: Keep up with evolving fraud tactics and propose proactive solutions to prevent emerging threats.
Requirements:
SQL Expertise: 5+ years of experience working with complex queries on large datasets (BigQuery experience is a plus).
Fraud Analysis & Data Interpretation: Proven ability to detect anomalies, investigate suspicious patterns, and mitigate fraud.
Python Proficiency: Experience using Python for advanced analytics and automation.
Critical Thinking & Problem-Solving: Strong analytical skills to diagnose fraud root causes and implement solutions in a fast-paced environment.
Communication Skills: Ability to present insights, investigations, and recommendations clearly to both technical and non-technical stakeholders.
Self-Starter Mentality: Independent, proactive, and motivated to tackle fraud at scale.
Ad Fraud & Digital Advertising Knowledge is an advantage: Familiarity with IVT (Invalid Traffic), bot detection, and ad fraud prevention tools.
SQL Expertise: 5+ years of experience working with complex queries on large datasets (BigQuery experience is a plus).
Fraud Analysis & Data Interpretation: Proven ability to detect anomalies, investigate suspicious patterns, and mitigate fraud.
Python Proficiency: Experience using Python for advanced analytics and automation.
Critical Thinking & Problem-Solving: Strong analytical skills to diagnose fraud root causes and implement solutions in a fast-paced environment.
Communication Skills: Ability to present insights, investigations, and recommendations clearly to both technical and non-technical stakeholders.
Self-Starter Mentality: Independent, proactive, and motivated to tackle fraud at scale.
Ad Fraud & Digital Advertising Knowledge is an advantage: Familiarity with IVT (Invalid Traffic), bot detection, and ad fraud prevention tools.
This position is open to all candidates.
