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Quant Analytics Jobs in Austin, TX (NOW HIRING)

For quant researchers looking to grow fast and make an immediate impact, there is no better place ... Play a pivotal role in developing automated analysis programs and trading algorithms * Your work ...

For quant researchers looking to grow fast and make an immediate impact, there is no better place ... Play a pivotal role in developing automated analysis programs and trading algorithms * Your work ...

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a local and regional water resources team (primarily flood risk analysis and mapping) * Compile ...

Quantamental Analyst

Austin, TX ยท On-site

$150K - $200K/yr

They are looking for a Quant with experience in fundamentally-driven strategies who can develop and enhance alphas using a mix of NLP models and LLMs to process and analyse company financials. The ...

Showing results 41-60

Quant Analytics information

See Austin, TX salary details

$52K

$118.1K

$194.8K

How much do quant analytics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for quant analytics in Austin, TX is $118,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $151,200.00 per year, depending on experience, location, and employer.

What is a quant analytics professional?

Quant Analytics, short for quantitative analytics, refers to the use of mathematical models, statistical methods, and computational techniques to analyze financial data and inform investment decisions. Professionals in this field, known as quantitative analysts or 'quants,' develop and implement algorithms for risk management, pricing, trading strategies, and portfolio management. Quant Analytics is widely used in banks, hedge funds, and investment firms to gain insights from large data sets and optimize financial performance. The role typically requires strong skills in mathematics, programming, and finance.

What are the key skills and qualifications needed to thrive as a quant analytics professional?

To thrive in Quant Analytics, you need strong quantitative skills, advanced knowledge of mathematics and statistics, and often a degree in fields like mathematics, physics, engineering, or finance. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and conveying insights to stakeholders. These skills and qualities are vital for developing robust quantitative models that support informed decision-making in fast-paced financial environments.

How do quant analytics professionals typically collaborate with other teams within a financial institution?

Quant Analytics professionals often work closely with traders, risk managers, and software engineers to develop, implement, and refine quantitative models. They translate complex data into actionable insights, which may influence trading strategies or risk assessment. Effective communication and teamwork are essential, as quants must present their findings in a way that is understandable and useful to non-technical stakeholders. Collaboration is usually facilitated through regular meetings, code reviews, and joint problem-solving sessions.

What is the difference between Quant Analytics vs Data Analyst?

AspectQuant AnalyticsData Analyst
Required CredentialsDegree in finance, mathematics, or related fields; often requires programming skillsDegree in statistics, business, or related fields; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Job FocusDeveloping complex models for trading and risk managementInterpreting data to inform business decisions and reporting

Quant Analytics professionals focus on building advanced financial models and algorithms primarily in finance and trading environments. Data Analysts interpret and visualize data to support business strategies across various industries. While both roles involve data handling, Quant Analytics emphasizes quantitative modeling and programming, whereas Data Analysts focus on data interpretation and reporting.

What cities near Austin, TX are hiring for Quant Analytics jobs?

Cities near Austin, TX with the most Quant Analytics job openings:

Infographic showing various Quant Analytics job openings in Austin, TX as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $118,118 per year, or $56.8 per hour.

Senior Data Analyst, Product Analytics

Realtor.com Careers

Austin, TX โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago


Job description

About the role:

The Data Science and Analytics organization at realtor.com sits at the heart of this mission. We process and analyze terabytes of data every day that enable decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals. Our goal is to use this data to make the home buying experience a breeze for our consumers. We empower them with the most up-to-date information on properties, help them find their dream homes in the least amount of time, and match them with the most suitable realtor to meet their unique, individual needs.

We are looking for a Sr, Data Analyst to join our Customer Product Analytics team within the Data Science & Analytics organization with the goal of helping the extended product team evaluate the launch of new features aimed at accelerating our seller-focused business, including our new agent listing product that leverages the tremendous amount of data available to realtor.com around the listings on our website. The mission of the Customer Product Analytics team is to be very strategic and pivotal to ensure that the company stays on course with meeting key OKRs (Objective and Key Results). This is not a traditional reporting role - a successful candidate will be able to take large amounts of data and be able to surface the "why" around data movements - not just the "what"

Top reasons to apply:
  • Own the Business Engine: You will be the architect behind the measurement framework for the seller referral business-RDC's largest revenue stream. This isn't just maintenance work; you are defining the KPIs and SSOT (Single Source of Truth) dashboards that leadership and FP&A rely on weekly, making your work central to the company's financial health..
  • Solve High-Complexity Marketplace Problems: This is a playground for advanced analytics. You will tackle non-trivial, two-sided marketplace challenges including inventory capacity modeling, pricing/packaging optimization, and causal inference for interventions where standard A/B test assumptions often break down.
  • Strategic Executive Visibility: Because the seller side is the designated growth area for the next few years, this role offers high exposure to high-profile stakeholders. You won't just be presenting charts; you will be partnering with Product, Marketing, and Sales to shape commercial decisions and drive measurable product impact..
What You'll Do:
  • Business Performance Reporting, Visualization and Analysis: Be the primary partner for our cross-functional stakeholders to understand product performance. When a metric is ahead or behind expectations, dig in to drive meaningful, actionable insights that help the business performance improve or double-down on success.
  • Deep-Dive Analysis: Use advanced techniques (A/B experimentation, statistical modeling, matched pair, and/or machine learning) to analyze consumer product performance at a lead and feature level. Create a rich understanding of how people are interacting with product features and use these insights to then make recommendations.
  • Opportunity Identification and Sizing: Both to set goals and help evaluate potential product enrichment opportunities, you will be tasked with forecasting and opportunity sizing. This will help our Product stakeholders understand the short-run and long-run dynamics of proposed changes to our product strategy, and create targets for driving business performance as well as optimize lead generation and funnel improvement opportunities.
  • Partnership and Communication: Partner closely with our Product stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data architecture, data visualization, data modeling, and testing platforms.
  • Build trust in all interactions and help make sure Seller Customer interactions is included in the build out of Amplitude and be an advocate for adoption
  • Be responsible for understanding key drivers of the Net Promoter Score for seller-focused customer products and helping to identify actionable paths for product and customer care to take on to improve NPS.
  • Build relationships with other products and analytics teams to share best practices and enrich analytic practices
  • Conduct quantitative analysis, ad hoc reports, & statistical models to understand the health and latest trends among product engagement and funnel conversion consumer metrics
  • Create impactful data insights and analysis from Analytic Plan creation thru End-of-Analysis summaries
What You'll Bring:
  • Bachelor's Degree in Business Analytics, Math, Economics, or equivalent work experience required
  • 5+ years of relevant experience or a Master's Degree with 3+ years of experience
  • Experience using data to analyze product feature performance is preferred
  • Advanced knowledge in SQL
  • Experience with data exploration and data visualization tools such as Tableau, Shiny, Streamlit, etc.
  • Experience with cloud-based data environments such as AWS and Snowflake
  • Advanced technical and modeling skills including Excel or Google Sheet skills (e.g. pivot, vlookup, etc.) and data analytics
  • Understanding of experimentation and statistics concepts (e.g. confidence intervals, hypothesis testing, regression analysis, etc.)
  • Ability to think strategically, analyze and interpret product performance drivers as well as how analyze a conversion funnel with key fallout points identified
  • Intense curiosity, high intellectual and analytical horsepower, passionate pursuit of analytics driven insights
  • Strong communication skills as well as written and verbal presentation skills and experience presenting to diverse audiences
  • Comfort working in a highly agile, intensely iterative environment
  • Self-motivated and self-managing, with strong time management and organizational skills
Preferred skills & Experience:
  • Experience in a subscription business
  • Knowledge in Python or R
How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our Austin headquarters, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location