ZipRecruiter

Log In

1

Algorithmic Execution Quant Jobs in Washington, DC

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

Your effort and expertise are crucial to the success and execution of this impactful mission. This ... This includes data modeling, computational mathematics, qualitative and quantitative techniques ...

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

Your effort and expertise are crucial to the success and execution of this impactful mission. This ... This includes data modeling, computational mathematics, qualitative and quantitative techniques ...

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

Your effort and expertise are crucial to the success and execution of this impactful mission. This ... This includes data modeling, computational mathematics, qualitative and quantitative techniques ...

Leidos

DevSec/Ops Engineer

Rockville, MD · Hybrid

$107K - $195K/yr

... ready algorithms and platforms. * Contribute to the integration of software development, AI ... Experience in software engineering, data science, analytics, or quantitative intelligence analysis ...

Leidos

DevSec/Ops Engineer

Alexandria, VA · Hybrid

$107K - $195K/yr

... ready algorithms and platforms. * Contribute to the integration of software development, AI ... Experience in software engineering, data science, analytics, or quantitative intelligence analysis ...

Leidos

DevSec/Ops Engineer

Rockville, MD · On-site

$107K - $195K/yr

... ready algorithms and platforms. * Contribute to the integration of software development, AI ... Experience in software engineering, data science, analytics, or quantitative intelligence analysis ...

Maximus

Senior Data Scientist

VA · On-site +1

... quantitative methods to thoroughly examine data, forecast future trends, and account for ... execution. - Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives ...

next page

Showing results 1-20

All JobsAlgorithmic Execution Quant JobsAlgorithmic Execution Quant Jobs in Washington, DC

Algorithmic Execution Quant information

See Washington, DC salary details

$59.5K

$135K

$222.6K

How much do algorithmic execution quant jobs pay per year?

As of Jul 22, 2026, the average yearly pay for algorithmic execution quant in Washington, DC is $134,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $172,700.00 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 Washington, DC? For Algorithmic Execution Quant jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Algorithmic Execution Quant jobs in Washington, DC look for? The top searched job categories for Algorithmic Execution Quant jobs in Washington, DC are:
Algorithmic Execution Quant jobs near you
Quantitative Analytics Senior - House Price Index Modeling

Quantitative Analytics Senior - House Price Index Modeling

Freddie Mac

Mclean, VA • On-site

Full-time

Posted 29 days ago

Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
Freddie Mac's Single-Family Division is currently seeking a Quantitative Analytics Senior to be responsible for the development and execution of statistical models and applications in support of business and risk decisions as a member of the House Price Index Modeling Team. This role is critical to advancing Freddie Mac's mission of Making Home Possible by developing robust and interpretable models for tracking house price appreciation. Apply now and learn why there's #MoreAtFreddieMac!
Our Impact:
  • Freddie Mac is leading the U.S housing market forward by making homeownership and rental housing more accessible and affordable. Our team develops robust, scalable models that support the Single-Family business by enabling critical, data-driven risk decisions.
  • Our team is responsible for developing house price index models for Freddie Mac.

Your Impact:
  • As a Data Scientist at Freddie Mac, you will join a group of skilled professionals who use data science to solve important business problems.
  • Developing analytical methods and models about the collateral underlying the mortgages in Freddie Mac's portfolio. Conducting research on enhancements to the existing models, and applying industry standard processes and techniques to meet various business needs.
  • Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems.
  • Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application.
  • Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.
  • Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.
  • Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.
  • Working under limited direction, independently resolving and developing approach to solutions.

Qualifications:
  • Doctorate degree, or Master degree with 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field
  • Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may include-but is not limited to-statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods
  • Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include-but are not limited to-SAS, Python, R, SQL, and MATLAB
  • Experience working with large data sets and relational database
  • Experience in statistical model development and implementation is preferred
  • Experience with software development and system setup for model application is preferred

Keys to Success in this Role:
  • Exceptional quantitative and analytics skills
  • Strong knowledge of statistical models, tools and techniques
  • Strong programming skills
  • Strong communication skills

Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type:Full time
FLSA Status:Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $126,000 - $190,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
Freddie Mac logo

About Freddie Mac

Sourced by ZipRecruiter

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you'll do important work for the housing finance system and make a difference in the lives of others.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1970

View All Freddie Mac Jobs

Apply