Data Scientist, Kraken

$116.7-164k

+ Equity and bonus

SQL
AWS
GCP
Python
Tableau
R
Airflow
Pandas
Data Studio
Qlik
Mid and Senior level
San Francisco Bay Area

Office located in Pine Street, CA

Kraken

Cryptocurrency exchange

Be an early applicant

Kraken

Cryptocurrency exchange

501-1000 employees

FintechB2CCryptocurrencyTradingBlockchain

Be an early applicant

$116.7-164k

+ Equity and bonus

SQL
AWS
GCP
Python
Tableau
R
Airflow
Pandas
Data Studio
Qlik
Mid and Senior level
San Francisco Bay Area

Office located in Pine Street, CA

501-1000 employees

FintechB2CCryptocurrencyTradingBlockchain

Company mission

To accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion.

Role

Who you are

  • Building and deploying machine learning models to detect fraudulent activities
  • Advanced quantitative and data analysis, including estimation methods, time series analysis, and machine learning techniques
  • Data querying languages such as SQL, scripting languages such as Python, or statistical/mathematical software such as R
  • Performing in-depth research projects, examining real-world data with
  • Mathematical methods
  • Cloud-computing tools and platforms such as AWS or GCP; Data visualization tools such as tableau, Qlik, or data studio
  • Working with large datasets, including tick data
  • Identifying and implementing infrastructure improvements to minimize overall latency and maximizing performance with packages such as Pandas or Pyspark
  • Building databases and creating ETL pipelines for large, complex data sets with Airflow
  • Bachelor’s degree or the equivalent in Computer Science, Data Science, Statistics or a related field
  • 3 years of experience in the crypto currency industry or related
  • Employer will accept any amount of experience with the required skills

What the job involves

  • Partner with financial fraud, product, engineering, and other relevant stakeholders to identify, prioritize, and answer the most important questions where analytics, statistical and ML modeling will have a material impact on mitigating Financial Fraud
  • Drive cross functional analytic projects from beginning to end: build relationships with partner fraud teams, frame and structure questions, collect and analyze data, summarize and present key insights in support of decision making to mitigate fraud
  • Work with engineers to evangelize data best practices and implement analytics solutions
  • Develop, train, and deploy ML models serving predictions and automating fraud reduction processes
  • Collaborate with fraud leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models
  • Communicate key results with self-serve tools (dashboards, analytics tools) for leadership and product management
  • Develop payment anomaly detection, and data modeling tools to monitor key performance indicators to improve the efficiency of payment gateways
  • Design experiments for product teams to test hypothesis and help with idea generation and refinement
  • Build key datasets and data pipeline automation using SQL/Python/Airflow/ETL frameworks
  • Telecommuting / work from home is permitted

Our take

Kraken is the world’s largest global bitcoin exchange in euro volume and liquidity. Kraken’s clients also trade USD, CAD, ETH, XRP, LTC and other digital currencies, on a platform consistently rated the best and most secure bitcoin exchange by independent news media.

Kraken was the first bitcoin exchange to have its market data displayed on the Bloomberg Terminal, the first to pass a cryptographically verifiable proof-of-reserves audit, and one of the first exchanges to offer leveraged bitcoin margin trading.

Kraken are one of the top 3 bitcoin exchanges by volume, behind Coinbase and bit-x with an 18% market share. While this is a competitive space to operate in - the volume of crypto being exchanged every day is very high, so there's space for multiple winners.

Kraken have made a number of acquisitions and have strengthened its world-leading position with the launch of new products, features and apps and a 24/7 multi-lingual support line. The company will continue to provide clients with easier and more versatile ways to participate in the crypto ecosystem.

Freddie headshot

Freddie

Company Specialist at Welcome to the Jungle

Insights

Many candidates hear
back within 2 weeks

13% female employees

22% employee growth in 12 months

Company

Funding (last 2 of 4 rounds)

Feb 2019

$100m

SERIES C

Mar 2014

$5m

SERIES A

Total funding: $111.5m

Company benefits

  • Work where you want: 90% of Krakenites work remotely, we believe people do their best work wherever they're happiest
  • Flexibility and Autonomy: We are highly results-focused vs. time-focused. We want you to work when and how you need to keep you at your most proactive
  • We value diversity: Our Team is spread across 60 countries. By joining Kraken you'll be part of a truly multicultural organization that values diversity and inclusion
  • A new approach to salary: Kraken prides itself on being at the forefront of crypto innovation, and that means the majority of our workforce has the option to be paid in bitcoin
  • Equity Options: Kraken owes its success and growth to its people. That's why we offer nearly all our Krakenites a stake in the company

Company values

  • Crypto Conviction
  • Assume Best Intent
  • Innovative
  • Collaborative
  • Client Obsessed
  • Productively Paranoid
  • Globally Inclusive
  • Humble

Company HQ

Financial District, San Francisco, CA

Leadership

Jesse Powell

(Chairman of the Board)

Previously co-founded Verge Gallery & Studio Project, Lewt and Internet Ventures & Holdings

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