Data Analyst, Risk & Fraud

  • Kraken
  • Remote
  • Feb 04, 2021
Full time Product

Job Description

About the role 


This is a fully remote role, we will consider applicants based in North America, South America and Europe 
We are looking for Data Analysts who will play a key role in improving risk management for core risk products at Kraken. You will transform large datasets from complex systems, generate actionable insights and share the results with stakeholders at all levels of the company. You will partner and lead projects with product management, engineering, risk, compliance and finance teams to influence global risk roadmap and processes.


You are a self-starter, results driven and passionate to drive success of products at Kraken using the power of data analytics.

Responsibilities

  • Conduct data analysis and generate actionable insights and make recommendations for improving risk metrics for Kraken’s products
  • Identify and investigate anomalies, escalate requests of risk related questions
  • Communicate key results with self-serve tools (dashboards, analytics tools) for your product teams and key stakeholders
  • Develop and automate reporting of key performance indicators of various Kraken’s products and services at scale, solving for business priorities
  • Partner with product managers to design experiments to test hypothesis and help with idea generation and refinement
  • Collaborate with engineering teams and stakeholders to build key datasets and data pipelines using Python/ETL frameworks
  • Be a data evangelist and help Kraken improve its products and services

Requirements

  • 3+ years industry experience in data analytics solving problems in risk related fields such as fraud, security, compliance
  • Advanced knowledge of SQL, scripting languages and database concepts
  • A consistent track record of performing data analysis using scripting language (Python, Javascript, etc) and/or experience with a programming language (Java, Scala, Golang, etc)
  • Experience with big data tools (Hadoop, Presto, Spark, Druid, etc)
  • Strong understanding of statistical concepts
  • Experience with BI Software (Superset / Tableau / etc)
  • Familiarity with data warehouse development and best practices
  • The versatility and willingness to learn new technologies on the job
  • The ability to clearly communicate complex results to technical and non-technical audiences

Nice to have

  • Familiarity with cryptocurrency ecosystem
  • BA/BS or MA/MS degree in Mathematics, Statistics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field