Quantitative Analyst II

Responsibilities

• Own and execute analytical projects from requirements gathering through delivery, ensuring quality and timeliness
• Build and maintain dashboards, reports, and data models that support recurring and ad hoc business needs
• Conduct structured analyses to answer business questions, identify trends, and surface actionable insights
• Partner with Finance and business stakeholders to understand requirements, clarify assumptions, and present findings
• Contribute to team standards for data quality, documentation, version control, and analytical best practices
• Support the development of scalable, repeatable solutions that reduce manual effort and improve efficiency
• Begin mentoring junior analysts by sharing knowledge, reviewing work, and modeling strong analytical habits
• Communicate findings clearly to both technical and non-technical audiences through written summaries and presentations

Qualifications

• Master’s Degree in Economics, Statistics, Data Science, Computer Science, or a related field preferred
• Bachelor’s Degree from accredited university in Economics, Statistics, Data Science, Computer Science, or a related field
• 2–5 years of experience in business intelligence, analytics, finance, or a related quantitative role
• Solid proficiency in data analysis, querying, and working with large and complex datasets
• Working proficiency with analytics and data tools such as SQL, Snowflake, Python, R, Power BI, or similar platforms
• Ability to structure analyses independently, manage competing priorities, and deliver reliable results
• Effective communication skills with the ability to translate data into business-relevant insights
• Familiarity with applying analytical rigor, including hypothesis-driven analysis and data validation practices
• Comfort working across teams and engaging with business stakeholders on requirements and deliverables

Preferred Qualifications

• Experience in financial services, wealth management, or other regulated and complex business environments
• Understanding of financial metrics, reporting structures, and performance measurement concepts
• Exposure to AI, machine learning, or advanced analytics techniques applied to business problems
• Experience with automation tools, workflow optimization, or process improvement initiatives

Benefits

Our competitive compensation is just one component of Osaic’s total compensation package. Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days and much more. To view more details of what you can look forward to, visit our careers page: https://careers.osaic.com/Creative/Benefits.