Seth Mutenda
****.******.*******@*****.*** — 507-***-**** — linkedin.com/in/sethmutenda/
Finance MBA candidate with a quantitative background seeking opportunities in data analysis. EDUCATION
Ottawa University Ottawa, KS
M.B.A. Finance Class of 2025
Selected coursework: Financial Modeling, Managerial Finance, Information Systems GPA: 3.9 St. Olaf College Northfield, MN
B.A. Quantitative Economics Class of 2022
Selected coursework: Statistical Modeling, Algorithms in Decision Making, Data Science GPA. 3.3 / Major 3.6 EXPERIENCE
Ottawa University Ottawa, KS
Resident Director 2023 - present
● Plan and oversee operations for three residence halls, with a total community of 150 students. Responsible for residence hall programming and the wellbeing of residents, including wellness checks and responding to mental health crises.
● Manage and mentor six Resident Assistants, running weekly meetings and one-on-one check-ins. Work with RAs to monitor resident well being, communicate policy changes to residents, and assist residents with navigating the housing application and registration process. Equilar Chicago, IL
Research Analyst 2022 - 2023
● Analyzed executive compensation benchmarking data with SQL, visualizing how corporate governance structure and company financials drive changes in executive pay packages.
● Extracted and processed raw corporate governance data from Form 8-K SEC filings of Russell 3000 companies for client CHROs to calibrate executive compensation.
● Maintained Equilar's internal market data to allow clients to benchmark the compensation of NEOs (Named Executive Officers) to major stock indexes.
● Managed data quality of Equilar’s internal database (BoardEdge) of executive pay profiles. St. Olaf College Northfield, MN
Research Fellowship 2021
● Analyzed the relationship between family remittances and productive investments in the Philippines, using census panel data from the Philippines Statistics Authority.
● Used a two-stage regression model with STATA to account for endogenous variables within the model. Found that contrary to popular belief, most families make productive expenditures
(starting a business, improving agricultural practices, etc.) with remittance income. SKILLS
Technical: Python, SQL, R, Tableau, STATA, Microsoft Excel, Power Point Language: English (native), Japanese (fluent)