Job Description

Role Overview
We are seeking a highly skilled Engineering Lead with proven expertise in Trade Surveillance technology to lead development, design, and delivery of compliance and surveillance platforms. The ideal candidate will bring strong technical leadership, hands-on engineering expertise, and domain knowledge in capital markets surveillance (e.g., MAR, Dodd-Frank, SEC, ASIC regulations). This role will drive innovation, mentor engineering teams, and collaborate with business and compliance stakeholders to deliver scalable surveillance solutions.
Key Responsibilities
Lead a team of engineers to design, build, and enhance trade surveillance systems for capital markets.
Partner with Compliance, Risk, and Technology teams to define business and regulatory requirements.
Drive the end-to-end SDLC, from architecture and design through to delivery, testing, and support.
Ensure systems capture and analyze trade/order data across asset classes to identify potential market abuse, insider trading, and manipulation.
Provide technical leadership in areas such as distributed systems, big data pipelines, and real-time monitoring platforms.
Define and enforce engineering best practices, coding standards, CI/CD pipelines, and DevOps practices.
Collaborate with global teams to ensure consistency and scalability of solutions.
Manage system performance, scalability, and resiliency to support high trading volumes.
Stay up to date with regulatory developments and integrate them into surveillance frameworks.
Mentor junior engineers and foster a high-performance engineering culture.
Required Skills & Experience
10-15 years of overall technology experience, with at least 5 years in a leadership role.
Strong background in capital markets technology and trade surveillance platforms (e.g., NICE Actimize, SMARTS, Behavox, Scila, or in-house systems).
Expertise in data engineering: Big Data platforms (Hadoop, Spark, Kafka), streaming technologies, ETL pipelines, and large-scale data storage.
Proficiency in programming languages such as Java, Python, or Scala.
Strong knowledge of cloud environments (AWS, Azure, or GCP) and microservices architectures.
Understanding of market abuse scenarios: insider trading, spoofing, layering, front-running, wash trades, etc.
Experience working with structured and unstructured data, including trade, order, comms, and voice data.
Solid experience in managing agile teams, with proven track record of delivering complex projects.
Excellent stakeholder management skills with Compliance, Risk, and Technology groups.
Good to Have
Knowledge of Machine Learning/AI techniques for anomaly detection in trade surveillance.
Familiarity with Natural Language Processing (NLP) for voice/email/chat surveillance.
Prior experience with global investment banks, broker-dealers, or exchanges.
Experience in building or migrating surveillance systems to cloud-native platforms.
Education

• Bachelor's/Master's degree in Computer Science, Engineering, or related field.

• Certifications in cloud (AWS, Azure) or financial compliance technology are a plus.

Skills Required