The Voleon Group10.03.26
AI SCORE 8.5

Senior Software Engineer - Post-Trade Financial Systems

$225K–$255K/year

About the Role

We are seeking a Senior Software Engineer to join our team at The Voleon Group. This remote Senior Software Engineer position focuses on developing our post-trade financial systems, utilizing cutting-edge AI and machine learning technologies. You will play a crucial role in enhancing our trading systems and data pipelines, which are vital for our machine learning operations.

What You'll Do

  • Design and optimize robust, scalable data infrastructure and real-time stream processing systems using Python, Airflow, Go, and Apache Beam.
  • Develop and maintain observability tools to monitor trading performance and risk, ensuring reliability in operations.
  • Lead the integration of new financial assets and markets, ensuring seamless functionality within existing systems.
  • Enhance the resilience and performance of accounting and reporting systems to meet evolving business needs.
  • Build advanced tooling to unify data from diverse vendors, ensuring consistency across systems.
  • Collaborate cross-functionally with research, legal, trading, finance operations, and infrastructure teams to deliver comprehensive accounting systems.
  • Guide and mentor other engineers, sharing best practices and expertise.

Requirements

  • Bachelor’s degree in Computer Science or equivalent experience.
  • 5+ years of software engineering experience with a focus on high-performance systems.
  • Proficiency in programming languages, particularly Python.
  • Strong communication and project management skills for cross-functional collaboration.
  • Demonstrated ability to mentor engineers and lead technical direction.

Nice to Have

  • Experience with data pipeline technologies like Apache Airflow, Spark, or Kafka.
  • Familiarity with modern Python data science tools (pandas, polars, etc.).

What We Offer

  • Competitive salary range of $225,000 to $255,000.
  • Comprehensive benefits package including medical, dental, and vision coverage.
  • 20 days of paid time off and 9 sick days.
  • 401(k) plan with company match.
  • Daily catered lunches and a collaborative work environment.
Why This Job8.5 of 10

This Senior Software Engineer role offers a unique opportunity to work in a collaborative environment with top experts in AI and finance. Enjoy competitive compensation and a supportive team culture.

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

Who Will Succeed Here

Proficient in Python and Go, with hands-on experience in developing scalable data pipelines using Apache Beam and Airflow, enabling efficient post-trade processing.

Adaptable and self-motivated, thriving in a remote or hybrid work environment, demonstrating the ability to manage time effectively while collaborating with distributed teams.

Strong analytical mindset with a robust understanding of machine learning algorithms and their application in financial systems, ensuring innovative solutions to enhance trading operations.

Learning Resources

Python for Data Engineeringcourse

Career Path

Senior Software Engineer - Post-Trade Financial Systems(Now)Lead Software Engineer(1-2 years)Engineering Manager - Financial Systems(3-5 years)

Market Overview

Python Market Size 2024
$15B
Annual Growth
11.2%
AI Adoption in Financial Systems
75%
Investment in Data Engineering
+120%
Labour Demand for Python Developers
+30%
Avg Salary for Senior Software Engineers
$130K

Skills & Requirements

Required
PythonAirflowGo
Growing in Demand
Machine LearningData EngineeringCloud Computing
Declining
Java (for data processing)Hadoop (MapReduce)

Domain Trends

Rise of AI in Financial Services
75% of financial institutions are investing heavily in AI to enhance post-trade operations, leading to increased demand for Python developers with ML skills.
Growth in Data Pipelines
The adoption of tools like Apache Beam and Airflow is growing by 40% annually as companies automate data workflows in financial systems.
Shift to Cloud-Based Solutions
Over 60% of financial firms are migrating to cloud-based infrastructures, necessitating skills in cloud computing alongside traditional programming languages.

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