Associate - Investment Analytics and Data

Job Description:

EMPLOYER: Dimensional Funds Advisors LP.

POSITION: Associate - Investment Analytics and Data

WORKSITE: 6300 Bee Cave Road Building One, Austin, TX 78746

DUTIES: Provide expertise on investment reporting, including but not limited to performance calculation, portfolio characteristics, and performance attributions, to internal clients. This includes working with large datasets, performing quantitative analysis, and using SQL, T-SQL, or similar data management tools; working with C, C#, or Python; knowledge in financial market, portfolio management and portfolio analysis; and knowledge of efficiency enhancement and optimization through automation, process design, and implementation to involve software development related for large datasets. Also, will create client report solutions that the client service and investment teams can utilize for recurring client reporting. Manage business requirements for data services and distribution. Develop processes to integrate new investment ideas into client reporting for portfolio management. Manage business requirements for data services and distribution. Hybrid work schedule permitted, with 3 days in the office and 2 days working from home within a reasonable commuting distance from the office. #LI-DNI

MINIUM REQUIREMENTS: Bachelor's degree in Mathematics, Statistics, Financial Engineering or a related field and 2 years of experience to involve: (1) experience working with large datasets, performing quantitative analysis, and using SQL, T-SQL, or similar data management tools; (2) knowledge of at least one programming language such as C, C#, or Python; (3) experience and knowledge in financial market, portfolio management and portfolio analysis; and (4) knowledge of efficiency enhancement and optimization through automation, process design, and implementation to involve software development related for large datasets. Hybrid work schedule permitted, with 3 days in the office and 2 days working from home within a reasonable commuting distance from the office.

ALTERNATIVE REQUIREMENTS: In lieu of a Bachelor's degree, employer will accept a Master's degree in Mathematics, Statistics, Financial Engineering or a related field, and 1 year of experience or 9 graduate credit hours to involve: (1) experience working with large datasets, performing quantitative analysis, and using SQL, T-SQL, or similar data management tools; (2) knowledge of at least one programming language such as C, C#, or Python; (3) experience and knowledge in financial market, portfolio management and portfolio analysis; and (4) knowledge efficiency enhancement and optimization through automation, process design, and implementation to involve software development related for large datasets. Hybrid work schedule permitted, with 3 days in the office and 2 days working from home within a reasonable commuting distance from the office.

Application Instructions: Email: & reference Job ID# DFLP-ATX24-WEWU in the subject line. EOE

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.