Drimva

JPMorgan Chase

Lead Solutions Analyst – Trade Surveillance & Compliance Technology

$147K–$200K

Jersey City, NJ +1 · Full-time · Posted Aug 17, 2026

Location
Jersey City, NJ
Plano, TX
Experience
5+ years applied experience in addition to formal training or certification on software engineering concepts; other experience requirements are stated without years.

About the job

Leads analytical and technical solution delivery for trade surveillance technology, supporting market surveillance and regulatory compliance capabilities.

What you'll do

  • Define the Trade Surveillance technology roadmap and lead requirements, gap analysis, and integration planning.
  • Use data analytics to support alert tuning, threshold calibration, trend analysis, and compliance decisions; oversee technical solution design and implementation.
  • Partner with Compliance, Legal, Risk, and technology teams on regulatory alignment, issue resolution, and delivery; mentor analysts and contribute to hiring and development.

What they ask for

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Experience in data analysis, data mapping, large datasets, SQL, and relational databases in on-premises and cloud environments.
  • Strong knowledge of trade products and flows, financial instruments and markets, and trading systems or compliance-oriented environments.
  • Experience leading stakeholder requirements and producing functional specifications; experience using AI tools such as Agentic AI, Copilot, LLM-based assistants, and automation frameworks.

Nice to have

  • Familiarity with NICE Actimize, Nasdaq Surveillance, or equivalent compliance monitoring systems.
  • Knowledge of AWS, Databricks, or other cloud-native data platforms; data modeling, regulatory reporting, or mentoring experience.

Pay

$147,250.00-$200,000.00 USD base salary

Tools

SQL, Python, NICE Actimize, Nasdaq Surveillance, AWS, Databricks, Copilot, LLM-based assistants

AI focus

Use AI tools, including Agentic AI, Copilot, LLM-based assistants, and automation frameworks, to improve productivity and efficiency.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)