Quantitative Analyst II

Advisor Group

Scottsdale, AZ

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JOB DETAILS

SKILLS

Analysis Skills, Artificial Intelligence (AI), Automation, Best Practices, Business Analysis, Business Intelligence, Channel Strategies, Communication Skills, Computer Science, Corporate Finance, Data Analysis, Data Modeling, Data Quality, Data Science, Data Sets, Documentation, Economics, Finance, Financial Metrics, Financial Reporting, Financial Services, Hubs, Machine Learning, Mentoring, Model Review, Needs Assessment, Performance Management, Performance Metrics, Power BI, Process Improvement, Python Programming/Scripting Language, Quantitative Analysis, Query Analysis, R Programming Language, Reporting Dashboards, Requirements Management, SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Source Code/Configuration Management (SCM), Statistics, Strategic Analysis, Structured Analysis, Trend Analysis, Wealth Management

LOCATION

Scottsdale, AZ

POSTED

16 days ago

Current Employees and Contractors Apply Here Osaic Careers Corporate Finance Opportunity in Financial Services Quantitative Analyst II Location(s): Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255 Osaic is not considering remote candidates at this time. Osaic has returned to the office on a hybrid schedule requiring a minimum of 4 days weekly in the office. Applicants should be located at one of our hubs listed above and must be willing to work this schedule. Role Type: Full time Salary: $70,500 - $75,000 per year + annual performance based bonus Actual compensation offered will be determined individually, based on a number of job-related factors, including location, skills, licensure, experience, and education. 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. Summary: We are looking for a skilled, self-directed analyst to join the Quantitative Analytics team! This role contributes to enterprise reporting, strategic analysis, and insight delivery that supports how the firm measures and manages performance. As a mid-level analyst, you will independently own analytical projects, partner with business stakeholders, and help strengthen the team’s processes and deliverables. This is an individual contributor role with growing influence and ownership. 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 All other duties assigned. Education Requirements: 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. Basic Requirements: 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 Requirements: 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 Current Employees and Contractors Apply Here Don't see a job that works for you? Not to worry, you can still introduce yourself to us by clicking on, Get Started.

About the Company

Advisor Group

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