Senior Data Scientist, Financial Services

TRM Labs provides blockchain analytics and AI solutions to help law enforcement and national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. TRM’s blockchain intelligence and AI platforms include solutions to trace the source and destination of funds, identify illicit activity, build cases, and construct an operating picture of threats. TRM is trusted by leading agencies and businesses worldwide who rely on TRM to enable a safer, more secure world for all. 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 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 The following represents the estimated range of compensation for this role: Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only The estimated base salary range for this role is $160,000 - $175,000. Additionally, this role may be eligible to participate in TRM’s equity plan. Please note – we factor in the different costs for geographies outside the United States. Life at TRM We are building a safer world. That promise shows up in how we work every day. TRM runs fast. Really fast. We’re a high‑velocity, high‑ownership team that expects clarity, follow‑through, and impact. People who thrive here are energized by hard problems, experimentation, and direct feedback. If something takes months elsewhere, it often ships here in days. That pace isn’t for everyone. If you are optimizing primarily for consistent work-life balance, use the interview process to pressure-test fit. We want teammates who thrive here, not just survive here. Leadership Principles We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like The impact you will have This work has real stakes. Depending on your role at TRM, your week might look like: Driving critical investigations that can’t wait for typical business hours. Shipping products in days when others would schedule quarters. Partnering with teams across time zones to deliver insights while the story is still unfolding. Building new solutions from first principles when the playbook doesn’t yet exist. Protecting victims and customers by tracing illicit activity and disrupting criminal networks. Join our Mission At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. Recruitment agencies TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement. 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