Business Analyst

#LI-CGTS || #TS-5662

Where we work: Our AWS partnered analytics organization owns the world’s biggest financial data store and runs continuous analytics on global stock data movement. Our mission is to ensure investor protection and market integrity. We are constantly working on how to “hack/break” market systems with the goal of being ahead of potential bad actors in the market.

Our environment

• Leading Innovator in Machine Learning/AI, Big Data, AWS, trading algorithms
• We work on the world’s largest financial store (21 petabytes when complete). There is no other comparable opportunity in the market. We look at 130 billion financial transactions every day. That's more than Twitter, Visa®, PayPal and Facebook combined
• Google, Amazon, Facebook & other tech icons follow the client as a model and recruiting base
• Amazon Web Services- select Partner: We use cloud computing to automate and store massive amounts of data

Role: Business Analyst

Location: Rockville, MD or Tysons, VA (hybrid - 3 days)

This role for more on Compliance side NOT working with Data Scientist.

• Validation thru UAT process, Gap Analysis, Complex queries, and analysis
• Expectations to leverage AI documentation and data manipulation

Must have’s:

• Business analysis experience (gap analysis, UAT, etc.)
• SQL – must on large scale datasets (on day to day – 20% to 30% in data analysis, answering questions, able to write SQL queries with some windows function knowledge)
• Ideal: 5+ years of financial regulatory, surveillance or capital markets data analyst who will be analyzing, validating surveillance patterns, documenting the related business rules, etc.

Nice to have’s:

• GenAI

Job Description:

The Analyst conducts moderate-to-high complexity analysis of automated surveillance systems that detect potential violations of regulatory rules. This role is responsible for understanding, validating, enhancing, and supporting surveillance patterns across multiple asset classes and regulatory domains. The analyst serves as the bridge between regulatory requirements and the technical implementation of surveillance logic, ensuring patterns produce accurate, complete, and defensible results. The analyst is expected to actively leverage generative AI tools to accelerate analysis, documentation, and automation — serving as the domain expert who directs AI capabilities while ensuring regulatory accuracy and completeness of all outputs.