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- 10 to 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.
- 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.
