Careers

DAR is looking for a Data Operations Analyst to help maintain the quality, integrity, and reliability of DAR’s critical data. This role will collaborate with our Tech and Data teams to perform daily monitoring, reconciliation, and controls for crypto market data and associated attributes. The ideal candidate must be detail-oriented, data-driven, and have excellent analytical skills. 

Key Functions: 

• Execute data control functions to monitor data quality, including monitoring digital asset exchange attributes such as listings, delistings, asset and ticker libraries, and other associated data attributes. 
• Maintain, and update entity matching of related information from disparate data sources
• Assist stakeholders with investigating data inconsistencies and mismatches
• Work directly with technical and research teams to communicate results
• Suggest process improvements based on data observations

Qualifications: 

• Detail oriented, analytical mindset 
• Excellent verbal and written communication
• Focus on high volume of data with the ability to filter information correctly 
• Agile ability to take on projects where necessary 
• BA/BS degree or equivalent work experience 
• Proficient with MS Excel 
• Candidates with a minimum of 1 year of relevant experience in data management, data analysis, or sales operations preferred

Bonus

• Experience with SQL
• Experience with basic Python scripting
• Basic knowledge of market and/or economic principles

Location: Candidates located in Pittsburgh are preferred, but there is an opportunity to work remotely

Digital Asset Research (DAR) is looking for a QA Automation Engineer/Backend Developer to join our team. 

Key Functions: 

• Develop and maintain data ingestion and certification processes
• Database maintenance
• ETL Tasks
• Compose, automate, and execute QA test cases according to product requirements for a number of different data-related processes 

Qualifications and Experience: 

• Expert in development and testing in Python 
• Proficient with SQL, AWS-based databases, and Linux environments
• Interest in or experience with cryptocurrency or financial markets preferred
• Experience with Microsoft Office (Excel, Word, and PowerPoint)
• Excellent written, verbal, and interpersonal communication skills
• Exceptional attention to detail
• Strong time management, presentation, and organizational skills

Location: Candidates located in Pittsburgh are preferred, but there is an opportunity to work remotely

DAR is looking for a Quantitative Analyst to enhance and improve DAR’s data integrity processes, and provide senior level quantitative analyses on the digital asset market exchanges, assets, and market trends. This role will collaborate with our team of data engineers and analysts. The ideal candidate must be detail-oriented, data-driven, and have excellent analytical skills. 

Key Responsibilities: 

• Use data science to uncover actionable insights in crypto asset data set
• Design new analytics and tools to productize those insights
• Transform and unify raw data from multiple different sources for clean analytics
• Suggest enhancements to current DAR datasets and offerings
• Liaise with customers to promote adoption and use of DAR analytics and tools
• Improve and enhance the design and conduct of DAR’s data quality and integrity systems and processes. 
• Provide senior level technical expertise for rigorous quantitative analysis of the digital asset market where the scope often is broad and requires both diligence and creativity.
• Collaborate with developers to improve data collection, certification, organization and storage processes.
• Prepare written reports for both internal and external consumption on data integrity and quantitative analyses.
• Write code, database queries, or otherwise implement analyses to identify issues, such as data corruption.
• Assist in creation and maintenance of complex data entity relationships across datasets
• Participate in the quantitative examination of digital asset exchanges and assets in order to identify market abnormalities and assess their quality.
• Document processes and maintain data records

Qualifications 

• Advanced degree or equivalent experience in mathematics, statistics, economics, analytics, data science or other quantitative field of study. 
• 3-5 years professional experience in data analysis, ideally with a focus on financial or crypto markets  
• Core competency in  
  • Storing and querying data in SQL and AWS based databases
  • Python and Python Data Analysis Tools (Pandas)
  • Working in Linux Environments (Ubuntu)
• Detail oriented, analytical mindset 
• Experience with Mentorship / Peer review 
• Agile ability to take on projects and tactical execution when needed
• Excellent verbal and written communication skills