Talantix.io
TRM Labs•01.03.26
AI SCORE 8.5

Data Scientist - Fraud Detection (Remote)

$170K–$195K/year
RemoteFinTech
Python•R•Machine Learning•Statistical Analysis•Data Visualization•SQL

About the Role

TRM Labs is seeking a talented Data Scientist specializing in fraud detection to join our innovative team. This is a full-time Data Scientist remote position, allowing you to work from anywhere in the USA. In this role, you will leverage your expertise in data analysis and machine learning to combat fraud and enhance our security measures.

What You'll Do

  • Develop and implement machine learning models to detect fraudulent activities.
  • Analyze large datasets to identify patterns and trends related to fraud.
  • Collaborate with cross-functional teams to enhance data-driven decision-making.
  • Utilize statistical analysis to evaluate the effectiveness of fraud detection strategies.
  • Communicate findings and insights to stakeholders in a clear and actionable manner.

Requirements

  • 3+ years of experience as a Data Scientist, with a focus on fraud detection or related fields.
  • Proficiency in programming languages such as Python or R.
  • Strong understanding of machine learning algorithms and statistical modeling.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Excellent analytical and problem-solving skills.

Nice to Have

  • Experience in the FinTech industry.
  • Familiarity with big data technologies (e.g., Hadoop, Spark).
  • Knowledge of database management systems (e.g., SQL, NoSQL).

What We Offer

  • Competitive salary ranging from $170,000 to $195,000 annually.
  • Flexible remote work environment.
  • Opportunities for professional development and growth.
  • Comprehensive health benefits and wellness programs.
  • Collaborative and inclusive company culture.
Why This Job8.5 of 10

This Data Scientist role at TRM Labs offers a competitive salary and the opportunity to work remotely while tackling fraud detection challenges in the FinTech space.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python and R, with a strong background in developing machine learning models specifically for fraud detection, utilizing libraries like Scikit-learn and TensorFlow.

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Self-motivated and disciplined, thriving in a remote work environment, with the ability to manage time effectively and deliver insights independently while collaborating asynchronously with team members.

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Analytical mindset with a focus on statistical analysis and data visualization, able to translate complex data findings into actionable strategies for enhancing security measures.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning with Python: From Linear Models to Deep Learningcourse
→Statistical Analysis with Pythoncourse

Career Path

Data Scientist - Fraud Detection(Now)→Senior Data Scientist - Fraud Analytics(1-2 years)→Lead Data Scientist - Fraud Prevention Strategies(3-5 years)

Market Overview

Market Size 2024
$8.5B
Annual Growth
22.5%
AI Adoption in Fraud Detection
65%
Investment in Data Science
+45%
Labour Demand for Data Scientists
+30%
Avg Salary for Data Scientists
$120K

Skills & Requirements

Required
PythonRMachine Learning
Growing in Demand
Deep LearningBig Data Technologies (e.g., Hadoop, Spark)Natural Language Processing (NLP)
Declining
SASMATLAB

Domain Trends

Increased Use of AI in Fraud Detection
By 2025, over 70% of financial institutions will utilize AI-driven solutions for fraud detection, improving accuracy by 50%.
Shift Towards Real-Time Analytics
Real-time fraud detection systems are expected to grow by 40% annually as businesses demand immediate insights from data.
Integration of Data Privacy Regulations
With 60% of companies facing compliance challenges, the integration of data privacy measures in fraud detection algorithms is becoming critical.

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