Quantitative Analyst I
Indexed description
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: $57,750 - $77,000 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 curious, detail-oriented analyst to join the Quantitative Analytics team! This role supports enterprise reporting, data analysis, and insight generation that helps the firm measure and manage performance. As a junior analyst, you will work closely with senior team members to learn analytical frameworks, build foundational technical skills, and contribute to meaningful projects. This is an individual contributor role focused on growth, execution, and learning.
Education Requirements
- Bachelor’s degree in economics, statistics, data science, computer science, or a related field preferred
- Equivalent combination of education and relevant experience will be considered
- Apply AI-assisted workflows to improve efficiency, automate repetitive tasks, and accelerate insight generation under the guidance of senior team members.
- Conduct data gathering, cleaning, validation, and exploratory analysis to support team projects
- Learn and apply team standards for data quality, documentation, and analytical rigor
- Collaborate with team members to understand business context and translate data into clear summaries
- Contribute to ad hoc analyses and data requests from Finance and business partners
- Proactively seek feedback, ask questions, and develop domain knowledge in finance and analytics
- Support quality assurance and testing of analytical outputs before delivery to stakeholders
- Leverage approved generative AI tools (e.g., Microsoft Copilot, ChatGPT, Claude, and similar platforms) to enhance productivity in data analysis, documentation, research, coding, and reporting activities while adhering to company data security and governance standards.
- 1–3 years of experience in analytics, business intelligence, data science, or a related quantitative field
- Foundational knowledge of data analysis concepts, statistics, and problem-solving approaches
- Familiarity with data tools such as SQL, Excel, Python, R, Power BI, or similar platforms
- Strong attention to detail and commitment to accuracy in data handling and reporting
- Effective written and verbal communication skills
- Eagerness to learn, take direction, and grow within a collaborative team environment
- Ability to manage time effectively and deliver work on schedule with appropriate guidance
- Exposure to financial services, wealth management, or regulated industry environments
- Familiarity with data warehousing concepts, cloud platforms (e.g., Snowflake), or BI tools
- Coursework or project experience in statistical modeling, machine learning, or data visualization
- Interest in automation, process improvement, and scalable analytical solutions
Eligibility
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Osaic.
Unqualified Applications
Osaic does not consider applications from candidates who do not meet the minimum qualifications stated in the job posting.
Recruiting Agencies
Osaic only accepts candidates from contracted recruiting firms and only for searches approved prior to submissions. Fees will not be paid for unsolicited submissions.
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