Talantix.io
Mercury•17.02.26
AI SCORE 8.5

Remote Senior Software Engineer - Risk Automation

$140K–$180K/year
RemoteFinTech
Python•Java•AI•Machine Learning•KYC•Compliance

About the Role

We're hiring a Remote Senior Software Engineer to join our Risk Engineering team at Mercury. As a Senior Software Engineer, you will play a crucial role in building intelligent automation systems that enhance our risk assessment processes. Your contributions will help us navigate the complexities of compliance and risk management, ensuring that founders can open bank accounts in delightful minutes.

What You'll Do

  • Design and develop AI-driven workflows that automate risk assessment and compliance processes.
  • Collaborate with cross-functional teams to integrate intelligent systems into existing operations.
  • Implement solutions that enhance risk detection and decision-making capabilities.
  • Utilize your expertise to solve complex systems problems at scale.
  • Contribute to the development of agentic AI systems that learn and adapt over time.

Requirements

  • 5+ years of experience as a software engineer, with a focus on risk management or compliance systems.
  • Strong proficiency in programming languages such as Python, Java, or similar.
  • Experience with AI and machine learning technologies.
  • Familiarity with KYC, EDD, and ODD processes.
  • Ability to work in a fast-paced environment and make confident decisions.

Nice to Have

  • Experience in the banking or financial services industry.
  • Knowledge of cloud platforms such as AWS or Azure.
  • Familiarity with data privacy regulations and compliance frameworks.

What We Offer

  • Competitive salary ranging from $140,000 to $180,000.
  • Fully remote work environment with flexible hours.
  • Opportunities for professional growth and development.
  • Collaborative team culture focused on innovation.
  • Health and wellness benefits to support your well-being.
Why This Job8.5 of 10

This Remote Senior Software Engineer position at Mercury offers a unique opportunity to work on cutting-edge AI-driven risk automation systems. With a competitive salary and a fully remote work environment, this role is perfect for innovative engineers looking to make an impact.

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

Who Will Succeed Here

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Proficient in Python and Java, with a strong background in developing machine learning models for risk assessment and compliance applications, leveraging libraries such as TensorFlow and Scikit-learn.

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Self-motivated and disciplined in a remote work environment, with the ability to manage time effectively while collaborating asynchronously with cross-functional teams and stakeholders.

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Demonstrates a strong understanding of KYC (Know Your Customer) regulations and compliance frameworks, with an analytical mindset focused on building solutions that enhance risk mitigation processes.

Learning Resources

→Python for Data Science and Machine Learning Bootcampcourse
→Machine Learning with Python: A Practical Introductioncourse
→Python Official Documentationguide

Career Path

Remote Senior Software Engineer - Risk Automation(Now)→Lead Software Engineer - Risk Management(1-2 years)→Engineering Manager - Risk Automation(3-5 years)

Market Overview

Python Market Size 2024
$30B
Annual Growth
12.4%
AI Adoption in Software Development
78%
Investment in Risk Automation Technologies
+45%
Labour Demand for Python Developers
+20%
Avg Salary for Senior Software Engineers
$130K

Skills & Requirements

Required
PythonJavaAI
Growing in Demand
Data ScienceCloud ComputingDevOps
Declining
JavaScript (for non-React frameworks)Ruby on Rails

Domain Trends

Increased Regulatory Compliance
With 85% of financial institutions enhancing their KYC processes, there is a growing demand for automation tools that utilize AI to streamline compliance.
Rise of AI-Driven Risk Assessment
Reports indicate that 70% of organizations are implementing machine learning algorithms in risk assessment, significantly improving accuracy and efficiency.
Shift Towards Cloud-Native Applications
Over 60% of enterprises are migrating to cloud-native architectures, necessitating skills in Python for developing scalable risk automation solutions.

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