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Job Description
Analyst at Unisys Analyst at Unisys in Gaithersburg, Maryland Posted in 9 days ago.
Type:
full-time
Job Description:
Role:
Analyst Location:
Rockville, MD or Tysons, VA (3 days onsite in a week) (Need local only) Business Analyst with heavy SQL or Data/Business analyst (hybrid) could work. Needs both business analysis experience(gap analysis, UAT, etc.) and strong SQL. 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 JD:
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.
Reverse-engineers surveillance pattern source code to build comprehensive knowledge documentation covering data pipelines, business rules, exception logic, and output schemas
Maintains a knowledge base of surveillance patterns across multiple regulatory domains
Performs requirements-vs-code gap analysis to identify discrepancies between documented business requirements and implemented logic, flagging risks to surveillance coverage UAT & Release Validation
Validates new surveillance pattern releases by comparing production vs. UAT outputs, analyzing exception counts, volumes, and firm-level impacts
Builds local testing environments to execute query scripts against sample data, enabling independent verification of pattern logic before production deployment
Designs multi-scenario test cases covering edge cases to ensure comprehensive test coverage
Packages release artifacts (scripts, QC results, requirements documentation) following standardized release structures Ad-Hoc Data Analysis & Investigation Support
Writes complex queries to support analyst investigations into surveillance exceptions
Performs firm-level statistical analysis and produces reports for management review
Maintains reference data sets used by downstream surveillance patterns
Assesses data incident impacts by cross-referencing affected data sources against the surveillance pattern dependency map Process Automation & Tooling
Develops automation tools for ticket management, release documentation, and workflow optimization
Builds local testing frameworks that replicate production environments for rapid pattern testing and iteration
Creates data visualization and comparison reports with interactive views, summary statistics, and color-coded differentials Generative AI Integration & Prompt Engineering
Leverages AI coding assistants as a force multiplier
directing AI agents to reverse-engineer source code, build knowledge documentation, generate test frameworks, and produce data comparison reports
Designs structured AI workflows including pattern study pipelines, workflow assistants, and automated documentation generation
Maintains a curated AI project workspace with standing instructions, conventions, and context files that enable consistent, high-quality AI-assisted output
Coordinates multi-step analytical tasks through AI
from reading source code and drafting requirements, to generating test harnesses and producing comparison reports
reducing turnaround from days to hours
Evaluates and validates AI-generated outputs for regulatory accuracy before use in production workflows Project Management Support
Manages work across project tracking boards, tracking enhancement tickets, bug fixes, and new pattern development
Drafts and updates Business Requirements Documents (BRDs) for surveillance pattern enhancements
Coordinates release activities including documentation, QC, and UAT sign-off tracking
OTHER RESPONSIBILITIES
Participates on special projects as assigned. Serves as a mentor for less experienced analysts. Keeps management updated on notable trends in industry practices, regulatory changes, and emerging technology capabilities (including AI tooling). Champions adoption of AI-assisted workflows within the team.
QUALIFICATIONS
Bachelor's degree and 5+ years of experience in financial regulatory technology, surveillance systems, or capital markets data analysis
Proficiency in SQL for large-scale data analysis on distributed platforms
Proficiency in at least one scripting/programming language for data analysis, automation, and tool development
Experience reading and interpreting complex data processing pipelines and business logic in source code
Strong analytical skills with the ability to independently investigate data discrepancies and validate system outputs
Excellent documentation skills
ability to translate complex technical implementations into clear business-facing knowledge documents
Advanced proficiency in spreadsheet tools for business and operational analysis
Preferred:
Major in Business Administration, Finance, Computer Science, or related field; advanced degree preferred
Experience with distributed query engines and big data platforms
Experience with project management and documentation tools and their APIs
Familiarity with surveillance pattern architectures (exception generation, scoring, aggregation, reconciliation)
Experience with source code management and release branch workflows
Experience leveraging generative AI tools (LLMs, AI coding assistants) to accelerate data analysis, code comprehension, documentation, and automation workflows
Ability to design effective AI prompts and structured project contexts that produce reliable, domain-accurate outputs in a regulated environment