Engineering Lead – Trade Surveillance

2 weeks ago


Gurgaon Haryana, India Bounteous x Accolite Full time

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



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