Senior Decision Scientist, Risk Operations

  • Kraken
  • Remote
  • Feb 24, 2022
Full time Business Operations Engineering Operations Pays in Crypto Product

Job Description

About Kraken
As one of the largest and most trusted digital asset platforms globally, we are empowering people to experience the life-changing potential of crypto. Trusted by over 8 million consumer and pro traders, institutions, and authorities worldwide - our unique combination of products, services, and global expertise is helping tip the scales towards mass crypto adoption. But we’re only just getting started. We want to be pioneers in crypto and add value to the everyday lives of billions. Now is not the time to sit on the sidelines. Join us to bring crypto to the world.
About the role
As a Decision Scientist in Risk Operations, you will analyse data related to our clients and their
transactions to determine which signals are indicative of a wide range of fraudulent and risky activities,
including Payment Fraud, Scams, Account Takeover, Account Abuse, First Party Fraud, Phishing and
other threats to the trust and safety of Kraken and our clients. Using the results of this data analysis, you
will drive the development, deployment and monitoring of models that control transactions and other risky
activity on Kraken.com and our mobile apps.
In addition to working with currently available data, you will also identify and recommend additional data
and data sources that enhance the quality of decisions. You will work with the Risk Product Team and
Operations to drive integration of this data into Kraken Risk Systems. You will apply innovative,
entrepreneurial curiosity with technical knowledge, adept problem-solving skills, client insights and
operational insights to develop best in class decision capability to protect clients and stakeholders from
abuse across multiple different products and services. On this team, you're a resourceful, strategic team-player with a passion for protecting the reputation of our brand.
●Model Development: Develop, deploy and monitor models that drive fraud related decisions
●Champion/Challenger testing: Validate data and model performance against output from
existing models and rules.
●R&D: Test new data, calculations and data sources for improved risk decisions.
●Platform Optimization: Work with Risk Product Management to optimize decision platforms and
related systems.
●Operations Optimization: Work with Client Engagement Team to determine the best scale
outcomes and actions driven by data, rules and model output.
●Business Intelligence & Communication: Devising and build Business Intelligence insights into
data, model and operations performance. Produce and deliver summaries of performance, issues
and gaps to wide range of audiences, including Executives, Product Management, Operations
and Compliance.
Requirements
●Degree in Math, Statistics or Operations Research (advanced degree preferred but relevant work
experience may suffice)
●Proven track record using advanced quantitative and statistical methods and tools to drive high
volume complex decisions at scale.
●Experience in financial services and payments, preferably in quantitative risk analytics with
evolving FinTech or similar environments.
●Experience with and working knowledge of SQL, SAS, R, Mathlab, Python and Machine Learning
tools and techniques.
●Ability to parse and analyze data from large structured and unstructured data sets
●Experience with BI platforms used to monitor and communicate data, model, rule, operations and
business results to a diverse audience.
●Experience working with Product Management and Engineering, preferably in an Agile
environment
●Advanced logical, analytical and critical thinking skills
●Strong attention to detail with a drive to solve problems, investigate issues, and creatively
optimize quantitative, operational and business results.
Nice to Have
●Advanced Degree in quantitative discipline
●Working knowledge of Crypto and related products and service
●Proven high quality communication and persuasive skills
●Experience managing teams responsible for analysis & modelling
We’re powered by people from around the world with their own unique and diverse experiences. We value all Krakenites and their talents, contributions, and perspectives, regardless of their background. 
As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws.