Senior Data Scientist, Full Stack

As a Senior Data Scientist, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.

The models and algorithms you create will be specifically designed to identify new threat vectors that are unique to cryptocurrencies and blockchains. These tools will be consumed by prestigious entities such as former FBI, Secret Service, and other law enforcement agencies, enabling them to stay ahead of evolving criminal activities in the cryptocurrency space.

The impact you will have here:

• Lead the development of advanced machine learning and statistical models tailored to identify patterns and anomalies associated with cryptocurrency fraud and financial crime. These models will help detect potential threats and provide valuable insights for law enforcement agencies.
• Develop custom models, algorithms, and interactive visualizations that will be consumed by former FBI, Secret Service, and Europol agents and analysts to detect new threat vectors unique to cryptocurrencies and blockchains
• Collaborate with engineers and research scientists to design algorithms to analyze complex data structures inherent to cryptocurrencies and blockchains. This will involve working with distributed ledger technologies, cryptographic protocols, and transactional data to uncover suspicious activities.
• Create interactive visualizations that allow law enforcement agencies to explore and understand complex blockchain data easily. These visualizations will enable investigators to navigate through the data effectively and identify key insights related to potential fraud and financial crime.
• As a leader in the team, you will collaborate closely with engineers, data scientists, and research scientists to align on project goals, methodologies, and deliverables. You will communicate your findings and insights effectively to both technical and non-technical stakeholders.
• You will stay up to date with the latest developments in the field of blockchain technology, cryptocurrencies, and financial crime. This will involve continuous learning, attending conferences, and exploring research papers to incorporate cutting-edge techniques into your work.
• Develop your skills through exceptional training as well as frequent coaching and mentoring from colleagues
• Establish best practices and statistical rigor around data-driven decision-making

What we’re looking for:

• Your academic background is in a quantitative field such as Computer Science, Statistics, Engineering, Economics or Physics. Advanced degree preferred.
• You have 4+ years of experience working in an analytical role.
• You have proven experience with at least one programming language (Python preferred) and are comfortable developing code in a team environment (e.g. git, notebooks, testing).
• You have a working knowledge of relational databases, (e.g. SQL)
• You think about data in terms of statistical distributions and have a big enough analytics toolbox to know how to find patterns in data and identify targets for performance
• You have a high tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize.

About the Team:

• The team operates with a high level of collaboration and interdependence, fostering an inclusive culture where connections extend beyond work. We value diverse personalities and seek someone who is both results-driven and sociable, with strong communication, leadership, and teamwork skills, along with a positive, solutions-oriented mindset.
• As a globally distributed team, members may observe different timezones. However, most of the team will overlap between the hours of 7am-12pm PST for meetings and collaboration.
• All team members, regardless of location must have at least 4 hour overlap with PST business hours.
• The team is involved in 2 different on-calls
  • Analytics on-call: only requires focus on working time (average of < 1 hour a day every month)
  • Data Science on-call: full week on-call to ensure Data Science pipelines are running smoothly (average of 1-2 hours a day every 3 months)

Learn about TRM Speed in this position:

• Deliver a last minute impactful project for a key customer
• Build complex products effectively with tight timeframes (1-2 sprints for MVP)
• Work on several projects in parallel with different priorities and stakeholders