Description: The Lead Business Analyst conducts moderate-to-high complexity analysis of automated surveillance systems that detect potential violations of regulatory rules. This role is responsible ...
Description: The Lead Business Analyst conducts moderate-to-high complexity analysis of automated surveillance systems that detect potential violations of regulatory rules. This role is responsible ...
GenAI Engineer
Rockville, MD · On-site
$116K - $140K/yr
TOP Skills'' Details 1. Expert Apache Spark/SQL/Python - Build/maintain ETL/ELT pipelines 2. 5+ years AWS 3. Experience BUILDING GenAI & Agentic Systems Secondary Skills - Nice to Haves * Data ...
GenAI Engineer
Rockville, MD · On-site
$116K - $140K/yr
TOP Skills'' Details 1. Expert Apache Spark/SQL/Python - Build/maintain ETL/ELT pipelines 2. 5+ years AWS 3. Experience BUILDING GenAI & Agentic Systems Secondary Skills - Nice to Haves * Data ...
Dataquad information
What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?
To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are vital soft skills for interpreting data and presenting actionable insights. These skills ensure accurate analysis, effective problem-solving, and meaningful contributions to business decision-making.
What are some common challenges faced by professionals working at Dataquad, and how can new hires best prepare for them?
Professionals at Dataquad often work with large, complex datasets and are expected to deliver actionable insights under tight deadlines. One common challenge is staying up-to-date with evolving data technologies and integrating new tools into existing workflows. New hires can prepare by familiarizing themselves with the latest data analytics platforms, brushing up on programming languages like Python or SQL, and developing strong communication skills to collaborate effectively with cross-functional teams. Embracing a proactive learning mindset and seeking mentorship within the organization can also help overcome these challenges.
What are Dataquads?
A Dataquad is not a widely recognized or standard job title in the data or technology industry. It may refer to a specific role or team within a particular organization focused on data analysis, management, or engineering, but there is no official definition available in public resources. If you encountered 'Dataquad' in a job posting or company, it is best to consult the organization's website or contact them directly for clarification on the responsibilities and expectations for this role.
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Job description
Description:
The Lead Business 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 also actively leverages generative AI tools to accelerate analysis, documentation, and automation — serving as the domain expert who ensures regulatory accuracy and completeness of all outputs.
QUALIFICATIONS
Required:
- 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 (Python) for data analysis, automation, and tool development
- Strong analytical skills with the ability to independently investigate data discrepancies and validate system outputs
- Experience reading and interpreting complex data processing pipelines and business logic in source code
- Advanced proficiency in spreadsheet tools for business and operational analysis
- Excellent documentation skills — ability to translate complex technical implementations into clear business-facing knowledge documents and Business Requirement Documents (BRDs)
Preferred:
- Major in Business Administration, Finance, Computer Science, or related field; advanced degree preferred
- Experience with project management and documentation tools and their APIs, and leading UAT efforts
- Knowledge of SEC/FINRA regulatory rules and reporting requirements
- Experience with data science efforts within financial market data (stocks, ETFs, options), and presenting findings to a wide audience
- Experience leveraging generative AI tools (LLMs, AI coding assistants) and validating AI-generated output to accelerate data analysis, code comprehension, documentation, and automate production workflows
- Strong interest in learning more about US financial market structure and evolving regulatory landscape
- Experience reverse-engineering surveillance pattern source code to build comprehensive knowledge documentation
- Familiarity with surveillance pattern architectures (exception generation, scoring, aggregation, reconciliation)
- Experience with distributed query engines and big data platforms
- Experience with source code management and release branch workflows
About Dataquad
Sourced by ZipRecruiter
Industry
Professional, scientific, and technical services
Company size
51 - 200 Employees
Headquarters location
Houston, TX, US
Year founded
2002