Analyst/Associate, Investment Engineering (Analytics Platforms)

Dimensional Fund Advisors; Town of Charlotte (NY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Comprehensive benefits package

Educational initiatives

Celebrations of history and growth

Job summary

Dimensional Fund Advisors in New York State seeks an intellectual and creative candidate for Investment Engineering Analytics Platforms to work on portfolio analytics and client applications. The role involves owning investment data, building internal tools, and partnering with user groups to onboard new use cases.

Success depends on learning the big picture of Dimensional’s investment philosophy, coding in Python, and analyzing large data sets with databases and APIs.

Qualifications

• Bachelor’s degree in a quantitative field such as CS, math, engineering or economics.
• Demonstrated programming ability with Python and data analysis.
• Understanding of financial markets and Dimensional’s approach.

Responsibilities

• Build and maintain internal analytics tools and frameworks used by product teams.
• Collaborate with user groups to onboard new use cases and drive data-driven decisions.

Skills

Python programming

Data analysis

SQL

Quantitative reasoning

Education

Bachelor’s degree in CS, Math, Engineering, or Economics

Tools

Git

GitHub Actions

Rest APIs

Job description

Job Description:

Investment Engineering is part of the Investments Team within Dimensional. Investment Engineering is responsible for ownership of investment data, which means managing 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. The Analytics Platforms team creates tools 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 building and maintaining internal tools and frameworks to empower product teams to work more efficiently, as well as partnering with user groups to consult and onboard new use cases (where learning the SME knowledge, goals, processes of that team is critical).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 these tools.

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, to solve problems algorithmically, and perform data analysis.

• 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.

• Knowledge of T-SQL, databases, and Rest APIs in general highly considered, as much of the job involves pulling data from databases and performing analysis.

• Experience with software management skills such as git, CI processes (eg github actions) is a plus.

This role is not eligible for immigration sponsorship.

#LI-Hyrbrid

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.