About ThreatMark

ThreatMark protects >50M end users from finacial fraud and saves > $100M every year in losses. We are working with top banks in EU and US to protect their end users.

We develop large-behavioral models that recognizes returning users by their mouse movements, keystroke timings and sensoric data (accelerometer, gyroscope). We detect cyberthreats (e.g. malware, phishing, scraping) by exploiting browsers/sandboxes of devices. We manage ~PB scale of data and provide real-time scoring in milliseconds driving authentication/authorization flow (2nd factor).

The Mission

As a Research Lead at ThreatMark, your mission is to lead a team of world-class ML engineers and security researchers as well as supporting roles (data analyst, data engineer) to create impactful technology.

Your responsibility will be to align research with product goals and manage the experiments, to ensure that they are focused on business outcomes.

You will help designing hypotheses and experiments that shall be executed. You will navigate the intricate trade-offs of investment and impact, having feel for diminishing returns, choosing when to go with fast iterations of experiments and when to perform a longer research.

You will interact with engineers, that will then make the researched technology part of product in a scalable and performant way.

Your insights will shape the roadmap and technical strategy of the product.

General

• Seniority: 5+ years of experience in applied ML, with at least 2 years in a leadership role

• Employment Type: Employee or Contractor

• Schedule: Full-time

• Work Arrangement: Full remote possible, with availability for in-person gatherings, collaboration sessions as well as team-buildings

Responsibilities

You will:

• Lead and mentor the research team to grow the talent with a focus on ownership and impact

• Clearly express research initiatives based on business needs, translate to team’s priorities

• Drive a culture of rigor in experimentation, measurement, and statistical evaluation

• Continuously improve the research process (tracking datasets, experiments and results)

• Prioritize and manage the research roadmap

• Manage ongoing research initiatives (push for next horizon, verify next hypothesis…)

• Support collaboration between research and engineering teams that use the models

• Represent research progress, findings, and insights in leadership meetings and strategic reviews

• Track & stay ahead of changes in ML and cybersecurity threats, and bring innovation

Must Have:

• Proficiency in principles (acquired through formal study or alternative means)

  • Relevant math (linalg, calculus / optimization, bayesian statistics, ….)

  • Computer science foundations (algorithms & data structures, …)

• Proficiency with relevant tools (pytorch, sklearn, numpy…)

• Experience leading research/data science teams

• Excellent project management skills (e.g. planning, prioritization)

• Strong written and spoken communication skills in English

Nice to Have:

• (Hands-on) Experience with data engineering, big data infrastructure, or MLOps

• (Hands on) Experience with differential privacy

• (Hands on) Experience with AWS technologies

• Experience in a startup or high-growth tech company

• Previous work in cybersecurity, fraud detection, or finance-related ML applications

What We Value:

• Ownership: Take ownership and move towards shared goals without supervision

• Communication & Clarity: Express your thoughts clearly when communicating with others

• Intellectual honesty: Stop the conversation once you loose the track

• Can-do: A positive, can-do attitude with a no-excuse, startup mindset

• Curiosity and Innovation: Dare to explore, be open to new ideas, and data-driven decisions