Job Overview
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Job Description
Senior Data Engineer, Graph Analytics at TRM Labs
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 Engineer, Graph Analytics on the Graph Analytics team, you will build scalable graph systems that analyze large networks of cryptocurrency transactions. You will collaborate closely with engineers, data scientists, and investigators to design mission-critical graph algorithms that analyze flows of funds. You will leverage distributed databases and graph processors to implement real-time graph algorithms at the multi-blockchain scale. You will collaborate with data science teams to identify opportunities to apply tools and techniques from graph theory to a variety of predictive learning problems.
Impact You Will Have
- Designing and implementing graph algorithms that analyze large cryptocurrency transaction networks at multi-blockchain scale.
- Researching new graph-native technology to evaluate benefit to data science and data engineering teams at TRM.
- Working on a highly cross-functional team that collaborates with cryptocurrency investigators to identify key user stories and requirements for new graph algorithms and features.
- Understanding and refining TRM’s risk models which analyze large networks of cryptocurrency transactions to assign risk scores to addresses.
- Communicating complex implementation details to a variety of audiences from investigators and customer success stakeholders to data engineers and data scientists.
- Integrating with a diverse set of data inputs ranging from raw blockchain data to complex model outputs.
What We’re Looking For
- Your academic background is in a quantitative field such as Computer Science, Mathematics, Engineering, or Physics.
- You have strong knowledge of algorithm design and data structures, and have experience applying this knowledge towards real-world problems.
- You have experience optimizing large-scale distributed data processing systems such as Apache Spark, Apache Hadoop, Dask, and distributed graph databases.
- You have experience converting academic research into products and have worked with research teams that regularly ship new features.
- You have strong programming experience with Python and SQL.
- You are an excellent communicator who is skilled at tailoring explanations of complex topics to both technical and non-technical audiences.
- You are self-motivated. You propose and validate solutions with minimal guidance. You're comfortable working with ambiguity and shaping your own research direction while being accountable for outcomes.
- You are knowledgeable of basic graph theory concepts.
About the Team
Our team is spread out over several countries and time zones. To leverage the opportunities and address challenges that come with this working model, we've built a culture grounded in trust, transparency, and adaptability. Even though we're scattered across different time zones, we stay closely connected through open communication and regular check-ins. Our use of digital tools helps us collaborate seamlessly and work at an impressive pace, delivering results at TRM speed while staying in sync. The diversity of perspectives and expertise within our team sparks creative exchanges and enhances our problem-solving capabilities, allowing us to leverage our global synergy to drive innovation and efficiency.We're driven by a deep sense of ownership, constant pursuit of improvement and an obsession with delivering magical experiences to our customers; these are a core part of our culture. We're driven by the desire to continuously hone our craft and to this end, we regularly assess our processes, seek feedback, and embrace iterative development to refine what we do. We structure problems and use the 80/20 rule to identify where to direct our razor-sharp focus. Each of us is passionate about excellence and growth, and we're encouraged to challenge the status quo and experiment with new methods. This mindset creates an environment where innovation is part of our daily routine and every team member is an impact-oriented trailblazer. By celebrating our successes and learning from our setbacks, we stay agile and forward-thinking, always striving to elevate our performance and impact.
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.
AI Fluency at TRM
AI fluency is a baseline expectation at TRM.
We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.
At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to:
- Accelerate repeatable workflows
- Structure and solve problems
- Improve output quality
- Increase speed and leverage
You will be evaluated on applied AI fluency during the interview process.
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.
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.
Key skills/competency
- Graph Analytics
- Blockchain Data
- Distributed Systems
- Apache Spark
- Python Programming
- SQL Databases
- Algorithm Design
- Data Structures
- Financial Crime Detection
- Real-time Processing
How to Get Hired at TRM Labs
- Research TRM Labs' culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight experience in graph analytics, blockchain, and distributed systems, showcasing impact.
- Prepare for AI fluency: Demonstrate how you leverage AI tools to accelerate workflows and improve output in your craft.
- Understand TRM's speed: Be ready to discuss examples of working with high velocity, ownership, and adaptability.
- Showcase problem-solving: Emphasize experience converting research into products and optimizing large-scale data systems.
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