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Bloomberg Quant Jobs in Texas (NOW HIRING)

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$122.7K

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How much do bloomberg quant jobs pay per year?

As of Sep 7, 2026, the average yearly pay for bloomberg quant in Texas is $122,699.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,631.00 and $153,021.00 per year, depending on experience, location, and employer.

What is a Bloomberg Quant?

A Bloomberg Quant is a quantitative analyst who works at Bloomberg, focusing on developing mathematical models, algorithms, and tools to analyze financial data and support decision-making in trading, risk management, and investment strategies. These professionals use advanced statistical techniques, programming, and data analysis to interpret large datasets and generate actionable insights for Bloomberg's clients and internal teams. They often collaborate with engineers, data scientists, and financial experts to enhance Bloomberg's product offerings and maintain its leadership in financial analytics.

How does a Bloomberg Quant typically collaborate with other departments such as engineering and sales?

Bloomberg Quants work closely with engineering teams to implement quantitative models and ensure their integration into Bloomberg’s software platforms. They also interact with sales and product management to understand client needs, tailor analytical solutions, and provide technical support. Effective communication and teamwork are essential, as projects often require input from multiple disciplines to deliver robust, client-focused products. This collaborative environment enables Quants to gain a broader business perspective while deepening their technical expertise.

What are the key skills and qualifications needed to thrive as a Bloomberg Quant, and why are they important?

To thrive as a Bloomberg Quant, you need strong quantitative analysis skills, programming expertise (often in Python, C++, or R), and a relevant advanced degree such as a Master's or PhD in mathematics, finance, or a related quantitative field. Familiarity with financial modeling platforms, Bloomberg Terminal, and data analysis tools is typically required, along with knowledge of market data systems. Critical thinking, attention to detail, and effective communication are essential soft skills for translating complex data into actionable financial insights. These competencies are crucial for developing innovative quantitative strategies and delivering high-value analytics in a dynamic financial environment.

What is the difference between Bloomberg Quant vs Bloomberg Data Analyst?

AspectBloomberg QuantBloomberg Data Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; programming skillsBachelor's degree in finance, economics, or related fields; data analysis skills
Work EnvironmentQuantitative research teams, financial modeling, algorithm developmentData collection, cleaning, reporting, and supporting decision-making
Employer & Industry UsageFinancial institutions, hedge funds, asset managers using quantitative strategiesFinancial firms, investment banks, and corporations analyzing market data

Bloomberg Quants focus on developing complex models and algorithms to inform trading strategies, requiring advanced quantitative skills. In contrast, Bloomberg Data Analysts primarily handle data management and reporting tasks to support business decisions. Both roles are integral in financial services but differ in technical depth and responsibilities.

What are popular job titles related to Bloomberg Quant jobs in Texas?

For Bloomberg Quant jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Bloomberg Quant jobs in Texas look for?

The top searched job categories for Bloomberg Quant jobs in Texas are:

What cities in Texas are hiring for Bloomberg Quant jobs?

Cities in Texas with the most Bloomberg Quant job openings:

Bloomberg Quant jobs near you
Infographic showing various Bloomberg Quant job openings in Texas as of August 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 81% Physical, 10% Hybrid, and 9% Remote job distribution, with an average salary of $122,699 per year, or $59 per hour.

Analyst/Associate, Investment Engineering (Data Solutions)

Dimensional Fund Advisors

Austin, TX • On-site

Full-time

Posted 19 days ago

Job description

Job Description:

Dimensional's Investment Engineering department 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 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 Data Solutions team's primary responsibilities involve overseeing the incoming base-level data and the centralized management and distribution of investment data to Dimensional's internal Portfolio Management, Trading, and Reporting systems.

The Data Solutions team seeks an Analyst/Associate capable of supporting key initiatives underpinning our daily implementation process. This role will work within the team to analyze the quality of investment data within Dimensional, including security reference, prices, ratings, and all other data crucial to the investment process. They will be a subject matter expert in the team's existing data products and work to design new products. Success in this role will mean delivering clean, accurate data to internal as well as external clients in a timely manner, being creative at finding different ways to analyze and present relevant investment data and enhancing operational efficiencies at Dimensional to deliver value-added investment solutions to our clients.

Responsibilities:

  • Support Dimensional's investment processes by ensuring tools and systems are built with appropriate business logic.

  • Compile, cleanse, and manage large data sets from multiple sources to support investment systems.

  • Research and evaluate vendor data to assess quality and recommend optimal consumption patterns.

  • Conduct data analysis using SQL Server, Snowflake, and other structured/ unstructured database technologies.

  • Partner with Portfolio Management, Trading, Compliance to address portfolio construction questions and perform related analysis.

  • Collaborate with internal clients to gather and define requirements for core business systems, and then design, build, and test data pipelines in partnership with data engineer resources.

  • Assist in shaping data architecture for internal distribution of investment data, including defining and building data structures for end-user consumption.

  • Drive efficiency through automation, process design, and implementation.

  • Mentor and provide guidance to junior analysts, fostering skill development and knowledge-sharing across the team.

Qualifications:

  • Bachelor's degree in Finance, Accounting, Computer Science, Engineering, Business, or a related field. Master's degree and/or professional certifications (e.g. CFA) preferred.

  • 3-5+ years of experience working with large investment datasets, performing quantitative analysis, and leveraging SQL, Python, or similar data management tools.

  • Strongly preferred: experience working with financial data sets and vendor platforms (Bloomberg, Factset, Refinitiv, Morningstar, etc.).

  • Demonstrated interest and passion for financial markets.

  • Experience working in Agile/Scrum teams, writing business requirements, and communicating effectively with software engineers.

  • Self-starter with proven ability to manage multiple projects and meet deadlines.

  • Strong analytical and quantitative problem-solving skills.

  • Attention to detail with the ability to connect findings to broader objectives and goals.

  • Excellent communication skills with the ability to convey complex ideas and bridge investment professionals and engineering teams.

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.

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