Senior Data Scientist, Analytics

As a Senior Data Scientist, you will have end-to-end ownership of critical analytics products for TRM's customers. In collaboration with a highly skilled team of engineers, data scientists, research scientists and go-to-market teams, 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 impact you will have here:

• Lead the implementation of new advanced analytics products that allow our customers to explore and uncover hidden insights through complex blockchain data such as assessing the risk of DeFi services, stablecoins, global regulations and other crypto-trends.
• Lead the roadmap and prioritisation of the analytics customer products suite based on market demands.
• Use your high-level business acumen to collaborate with our go-to-market team and work directly with our customers to understand their challenges and pain points in order to creatively translate them into impactful models and products.
• Develop complex statistical analysis, 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.
• 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.
• 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 8 years of experience working in an analytical role.
• You have customer facing experience and you enjoy sitting with the customers to understand their challenges.
• You have a strong knowledge of relational databases, (e.g. SQL).
• 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 strong experience building scalable data and analytics products from design to deployment phases.
• 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 are delivery-oriented and you are experience in a face-paced environment.
• You have excellent verbal and written communication skills and experience in influencing decisions with information.
• 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