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REMOTE Senior Software Engineer - FinTech Scale up

McGregor Boyall

City Of London

Remote

GBP 100,000 - 120,000

Full time

Today
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Job summary

A high-growth FinTech scale-up is seeking a Senior Software Engineer to design and scale advanced systems for market surveillance. The role offers a fully remote working opportunity with a competitive salary package of up to £120k base plus bonuses and stock options. You will work with cutting-edge technologies in a fast-paced environment focused on fraud detection and market integrity.

Benefits

Bonus
Stock options
Pension

Qualifications

  • 5+ years' experience in software engineering, ideally in financial markets or large-scale data systems.
  • Strong skills in Java (or Kotlin, C#, C+); Python is a plus.
  • Proven experience with real-time, low-latency systems.

Responsibilities

  • Design and implement algorithms for detecting fraud and compliance breaches.
  • Build and scale high-volume data pipelines handling billions of daily events.
  • Collaborate with experts to improve surveillance strategies.

Skills

Software engineering
Java
Distributed data pipelines
Real-time systems
Algorithms
Data engineering

Tools

Kafka
Spark
Kubernetes (K8s)
Clickhouse
Snowflake
Redis
Job description

Fully Remote | Up to £120k Base + Bonus + Stock Options

We're partnered with a high-growth FinTech scale-up at the forefront of building next-generation market surveillance and risk monitoring technology. Backed by leading investors and trusted by global financial institutions, regulators, and crypto-native firms, they process trillions of market events daily to protect investors, detect manipulation, and ensure integrity across both traditional finance and digital asset markets.

As a Senior Software Engineer, you'll play a key role in designing and scaling advanced systems and algorithms that safeguard some of the most dynamic and complex markets in the world. This is a chance to build high-performance, low-latency, and cloud-native systems while tackling challenges in fraud detection, data engineering, and market integrity.

What you'll do
  • Design, implement, and optimise algorithms for detecting manipulation, fraud, and compliance breaches in real-time and batch data.
  • Build and scale high-volume data pipelines handling billions of daily events across distributed systems.
  • Work with cutting-edge tech including Java, Kafka, Spark, Kubernetes, Clickhouse, Snowflake, Redis.
  • Collaborate with quants, data scientists, and compliance experts to improve surveillance strategies.
  • Contribute to system architecture for low-latency monitoring and high-throughput processing.
  • Continuously improve data quality, reliability, and query optimisation at scale.
Qualifications
  • 5+ years' experience in software engineering, ideally in financial markets, market surveillance, or large-scale data systems.
  • Strong skills in Java (or similar: Kotlin, C#, C++); Python is a plus.
  • Proven experience with real-time, low-latency systems and distributed data pipelines.
  • Hands-on with Kafka, Spark, K8s, Clickhouse, Snowflake, and modern data architectures.
  • Solid foundations in algorithms, system design, and optimisation.
  • Curious, proactive, and comfortable working in a fast-moving, scaling environment.
Benefits
  • Fully remote role with global reach.
  • Up to £120k base + bonus + stock options.
  • Build mission-critical systems at the intersection of finance, crypto, and AI/ML-driven surveillance.
  • Work alongside world-class engineers, quants, and technologists shaping the future of market integrity.

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Benefits: bonus, stocks, pension

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