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Algorithmic Execution Quant Jobs in Grand Prairie, TX

... algorithms and traditional logistic regression techniques. * Perform the full scope end-to-end ... related quantitative field and 4+ years' experience in model development / model validation ...

... algorithms and traditional logistic regression techniques. * Perform the full scope end-to-end ... related quantitative field and 4+ years' experience in model development / model validation ...

You will lead the strategy and execution of a technical roadmap that will increase the velocity of ... data structures and algorithms * Experience solving analytical problems with quantitative ...

Algorithmic Execution Quant information

See Grand Prairie, TX salary details

$49.7K

$112.8K

$186K

How much do algorithmic execution quant jobs pay per year?

As of Jul 27, 2026, the average yearly pay for algorithmic execution quant in Grand Prairie, TX is $112,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $144,300.00 per year, depending on experience, location, and employer.

What is the difference between Algorithmic Execution Quant vs Quantitative Trader?

AspectAlgorithmic Execution QuantQuantitative Trader
Primary FocusDeveloping and implementing algorithms for trade execution to minimize market impactCreating trading strategies to generate alpha and profit from market movements
Work EnvironmentQuantitative research teams, trading desks, technology-drivenTrading floors, portfolio management teams, research departments
Required SkillsProgramming, market microstructure, execution algorithmsQuantitative modeling, market analysis, strategy development

While both roles involve quantitative skills, an Algorithmic Execution Quant specializes in optimizing trade execution processes, whereas a Quantitative Trader focuses on developing strategies to generate profits. The roles often collaborate but serve different functions within trading firms.

What are the key skills and qualifications needed to thrive as an Algorithmic Execution Quant, and why are they important?

To thrive as an Algorithmic Execution Quant, you need a strong background in quantitative analysis, programming (often in Python or C++), and a solid understanding of financial markets, typically supported by an advanced degree in a quantitative discipline. Proficiency with statistical modeling tools, trading platforms, and market data systems, as well as familiarity with technologies like FIX protocol, is crucial. Strong problem-solving ability, attention to detail, and effective communication help you collaborate across trading, research, and technology teams. These skills are essential for designing, optimizing, and maintaining robust trading algorithms that achieve best execution and mitigate risk in fast-moving markets.

What are some common challenges faced by Algorithmic Execution Quants when developing and deploying trading algorithms?

Algorithmic Execution Quants often encounter challenges such as adapting strategies to rapidly changing market conditions, managing latency and slippage, and ensuring compliance with regulatory requirements. They must also balance the need for innovation with the necessity for robust risk controls and system reliability. Collaboration with traders, developers, and risk managers is essential to refine algorithms and ensure they perform optimally in live trading environments.

What does an Algorithmic Execution Quant do?

An Algorithmic Execution Quant is responsible for designing, developing, and optimizing algorithms that execute large financial trades efficiently and at minimal cost. They analyze market microstructure, create models to predict market impact, and work closely with traders and engineers to implement these strategies in real-time trading systems. Their work is essential in minimizing transaction costs and improving trade execution quality for their firm.
What are popular job titles related to Algorithmic Execution Quant jobs in Grand Prairie, TX? For Algorithmic Execution Quant jobs in Grand Prairie, TX, the most frequently searched job titles are:
What job categories do people searching Algorithmic Execution Quant jobs in Grand Prairie, TX look for? The top searched job categories for Algorithmic Execution Quant jobs in Grand Prairie, TX are:
What cities near Grand Prairie, TX are hiring for Algorithmic Execution Quant jobs? Cities near Grand Prairie, TX with the most Algorithmic Execution Quant job openings:
Infographic showing various Algorithmic Execution Quant job openings in Grand Prairie, TX as of July 2026, with employment types broken down into 1% Internship, 7% As Needed, 70% Full Time, 11% Part Time, 2% Contract, and 9% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $112,796 per year, or $54.2 per hour.
Lead Quantitative BI Analyst, Business Intelligence

Lead Quantitative BI Analyst, Business Intelligence

Solera

Westlake, TX โ€ข On-site

Full-time

Posted 22 days ago


Job description

Lead Quantitative BI Analyst, Business Intelligence
Who We Are
Solera is a global leader in data and software services that strives to transform every touchpoint of the vehicle lifecycle into a connected digital experience. In addition, we provide products and services to protect life's other most important assets: our homes and digital identities. Today, Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our 6,500 team members foster an uncommon, innovative culture and are dedicated to successfully bringing the future to bear today through cognitive answers, insights, algorithms and automation. For more information, please visit solera.com.
The Role
We are seeking a Quantitative BI Analyst to bridge the gap between advanced financial analytics and enterprise-scale business intelligence. This hybrid role combines deep financial modelling expertise with strong technical skills in data architecture and BI tools, enabling data-driven decision-making across a complex, multi-business SaaS organization. The ideal candidate thrives in ambiguity, demonstrates intellectual agility, and can translate complex datasets into actionable insights for senior leadership.
You will design and maintain robust financial and operational models, architect scalable BI solutions, and deliver automated reporting frameworks that empower strategic initiatives, forecasting, and executive decision-making.
What You'll Do
- Build and maintain driver-based three-statement financial models for scenario analysis, forecasting, budgeting, and valuation.
- Perform advanced data mining and statistical modelling on large, complex datasets to identify trends and inform strategic decisions.
- Design and maintain enterprise BI architecture, data science models, pipelines, and warehousing solutions.
- Develop and optimize ETL/ELT processes to ensure data integrity and scalability.
- Create automated dashboards and reporting tools using BI platforms (e.g., Power BI, Tableau) to track financial and operational performance.
- Integrate BI tools with enterprise systems (ERP, CRM) for unified data access.
- Partner with finance, product, and technology teams to refine assumptions, validate models, and align BI solutions with business objectives.
- Present insights and recommendations to senior executives in a clear, structured format.
- Implement data governance standards, metadata management, and ensure compliance with organizational policies.
- Mentor junior analysts and engineers, fostering a culture of continuous learning and innovation.
What You'll Bring
Education & Experience
- Bachelor's degree in Finance, Economics, Data Science, or related field; advanced degree (MBA, CFA, CFP or equivalent) is a plus.
- 7+ years of combined experience in financial analysis and BI/data engineering roles.
Technical Skills
- Advanced proficiency in Excel and financial modelling.
- Good understanding of data science techniques, SKlearn standard models and applied solutions at scale.
- 3+ years of experience with SQL, Python (pandas/spark), and BI tools (Power BI, Tableau).
- 3+ years of experience in data warehousing, ETL/ELT processes, and cloud-based data platforms.
- Familiarity with SaaS metrics (ARR, NRR, CAC, LTV, churn) and valuation concepts.
Soft Skills
- Exceptional problem-solving ability and attention to detail.
- Ability to communicate complex technical and financial concepts clearly to non-technical stakeholders.
- Proven track record of ownership, adaptability, and delivering results in fast-paced environments.
What We're Looking For
- A critical thinker who thrives at the intersection of finance and technology.
- Strong quantitative mindset with the ability to design scalable BI solutions.
- Highly motivated self-starter with an ownership mentality and a bias for execution
It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company's needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs.
EQUAL OPPORTUNITY EMPLOYER
SOLERA HOLDINGS, INC., AND ITS US SUBSIDIARIES (TOGETHER, SOLERA) IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE FIRM'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.