What are the responsibilities and job description for the Compliance Data Analytics Associate position at IntePros?
Compliance Data Analytics Associate – 1LOD Embedded Control Team
New York, NY (preferred) | Pittsburgh, PA | Lake Mary, FL
We are seeking a highly skilled and motivated Compliance Data Analytics Associate to join our First Line of Defense (1LOD) Embedded Control Team. This role is ideal for a data professional who thrives at the intersection of risk management, compliance, and advanced analytics. You will leverage data to shape strategic decisions, strengthen risk controls, and ensure regulatory compliance while applying Agile and Scrum methodologies to drive execution.
This is a unique opportunity to work across functions—partnering with compliance, risk officers, and operations—to deliver insights and solutions that directly impact the business.
Key Responsibilities
New York, NY (preferred) | Pittsburgh, PA | Lake Mary, FL
We are seeking a highly skilled and motivated Compliance Data Analytics Associate to join our First Line of Defense (1LOD) Embedded Control Team. This role is ideal for a data professional who thrives at the intersection of risk management, compliance, and advanced analytics. You will leverage data to shape strategic decisions, strengthen risk controls, and ensure regulatory compliance while applying Agile and Scrum methodologies to drive execution.
This is a unique opportunity to work across functions—partnering with compliance, risk officers, and operations—to deliver insights and solutions that directly impact the business.
Key Responsibilities
- Collect, clean, and analyze large, complex datasets to uncover trends, exceptions, and actionable insights.
- Partner with stakeholders across compliance, risk, and operations to align analytics with business objectives.
- Design, develop, and maintain dashboards and reports that track KPIs and risk indicators.
- Serve as SME for data issue remediation, ensuring accurate feeds for regulatory reporting and risk assessments.
- Apply statistical and quantitative methods to support decision-making and model development.
- Facilitate Agile ceremonies (sprint planning, backlog refinement, retrospectives) and drive workflow through Jira and Kanban boards.
- Monitor and maintain data quality, governance, and integrity, providing guidance to stakeholders on best practices.
- Develop and execute SQL queries for data extraction, validation, and analysis.
- Translate technical findings into clear, business-focused insights for non-technical audiences.
- Deliver standard and ad-hoc reporting to senior stakeholders.
- Bachelor’s degree (or equivalent experience). Advanced degree in data analytics, statistics, or related field preferred.
- 3–5 years of experience in a data analytics or data science role (5 years accepted in lieu of degree).
- Proven expertise in Agile and Scrum methodologies.
- Proficiency with Jira, Kanban boards, SQL, Excel, and data visualization platforms.
- Strong data governance awareness and experience in data remediation projects.
- Exceptional communication skills with the ability to explain technical concepts to non-technical audiences.
- Highly organized, detail-oriented, and skilled at maintaining accurate records.
- Critical thinking and problem-solving skills to support risk assessments and decision-making.
- Background in financial services or compliance.
- Advanced skills in Excel (macros, advanced formulas, automation).
- Experience with data governance frameworks and regulatory data environments.
- Strong track record of working with cross-functional teams and delivering results under tight deadlines.
- Be part of a mission-critical control team driving risk and compliance strategies across the business.
- Work with cutting-edge data tools and Agile frameworks in a collaborative, cross-functional environment.
- Grow your expertise in risk analytics, data governance, and regulatory compliance—key skills in today’s financial services industry.
- Opportunity to work from NYC (preferred), Pittsburgh, or Lake Mary with exposure to global operations.
