Senior Associate, Investment Engineering (Analytics Platforms - GIPS & Regulatory Reporting)

Company: Dimensional
Location: Austin
Posted on: April 3, 2026

Job Description:

Job Description: Investment Engineering is part of the Investments Team within Dimensional. Investment Engineering is responsible for ownership of investment data and analysis tools, which means managing said data from acquisition through distribution, driving analysis to create information from data, and creating the information and analysis consumed by internal and external clients and reports. Investment Engineering is a hub group touching numerous areas of the implementation of the investment process and interacting with most other departments within Dimensional. Within Investment Engineering, the Analytics Platforms team creates tools, content, and reporting for clients to understand Dimensional’s products and analyze how they might fit inside a client’s portfolio. Responsibilities: Our team seeks an intellectual and creative candidate within the Investment Engineering Analytics Platforms area to work on key projects spanning portfolio analytics and client applications within Dimensional. Success in the role will mean learning both the big picture and nuance of Dimensional’s investment philosophy and how it translates into the implementation of an investment process. Strong intellectual curiosity combined with an ability to dig into details is a prerequisite. The work is team-based and involves designing and managing a global framework and process for GIPS and regulatory reporting. Success in the job, including career progression, will be driven by successfully maintaining and innovating in these frameworks and executing on projects to enhance and improve Dimensional’s global reporting processes. Qualifications: Bachelor’s degree, ideally in computer science, mathematics, engineering, economics – show us you have a capacity for and interest in quantitative work. Experience with programming in one or more languages, though python is highly considered – demonstrate the ability to code, solve problems programmatically, and perform data analysis. CFA or experience in GIPS is highly considered. Understanding of financial markets and desire to learn more – know what Dimensional does. Experience with databases and large data sets – show you can work with and analyze data to provide meaningful results, as much of the job involves pulling data from databases and performing analysis. This role is not eligible for immigration sponsorship. Dimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth. It is the policy of the Company to provide equal opportunity for all employees and applicants. The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to actual or perceived race, color, religion, religious practice, creed, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), caregiver status, gender, gender identity, gender expression, transgender identity, national origin, age, mental or physical disability, ancestry, medical condition, marital status, familial status, domestic partnership status, military or veteran status or service, unemployment status, citizenship status or alienage, sexual orientation, status as a victim of domestic violence, status as a victim of stalking, status as a victim of sex offenses, genetic information, political activities or recreational activities, arrest or conviction record, salary history, natural hairstyle or any other status protected by applicable law except as otherwise required or permitted by law or regulation applicable to the Company or its affiliates.

Keywords: Dimensional, Austin , Senior Associate, Investment Engineering (Analytics Platforms - GIPS & Regulatory Reporting), Accounting, Auditing , Austin, Texas