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Remote Algorithmic Trading Quant Jobs in Virginia

AI Systems Engineer

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is seeking a highly skilled AI/ML ... Understand and guide the design of advanced AI/ML models and algorithms, ensuring solutions ...

Whether you've got deep experience in commercial real estate, skilled trades or technology, or you ... Requires analytical and quantitative skills with proven experience in developing strategic ...

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Remote Algorithmic Trading Quant information

What is a Remote Algorithmic Trading Quant?

A Remote Algorithmic Trading Quant is a quantitative analyst who develops, tests, and implements mathematical models and trading algorithms for financial markets while working off-site or from home. They analyze large datasets, identify trading opportunities, and use programming languages like Python or C++ to automate trading strategies. Their work is vital for firms seeking to gain a competitive edge through data-driven, automated trading, and being remote allows them to collaborate with global teams or firms without being physically present in a traditional office setting.

What is the difference between Remote Algorithmic Trading Quant vs Remote Quantitative Analyst?

AspectRemote Algorithmic Trading QuantRemote Quantitative Analyst
CredentialsDegree in finance, computer science, or mathematics; coding skills; experience with trading algorithmsDegree in finance, economics, mathematics; statistical and analytical skills; programming knowledge
Work EnvironmentFinancial firms, hedge funds, trading firms; focus on developing and testing trading algorithmsFinancial institutions, investment firms; focus on data analysis, modeling, and risk assessment
Industry UsageCommon in trading and hedge fund industriesWidespread across finance, banking, and investment sectors

The Remote Algorithmic Trading Quant specializes in developing and implementing trading algorithms within trading firms, focusing on automation and execution strategies. In contrast, the Remote Quantitative Analyst often performs broader data analysis and modeling tasks across various financial sectors. While both roles require strong quantitative skills and programming knowledge, their primary focus and work environments differ, aligning with their specific industry functions.

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

To thrive as a Remote Algorithmic Trading Quant, you need advanced quantitative skills, strong programming ability (often in Python, C++, or R), and a solid background in mathematics, statistics, or related fields—typically supported by a relevant degree. Familiarity with trading platforms, financial data feeds, and version control systems, as well as experience with backtesting frameworks, is highly valued. Exceptional problem-solving, attention to detail, and effective remote communication are crucial soft skills for success in this position. These skills and qualities enable the development, testing, and deployment of robust trading strategies in a fast-paced, data-driven environment.

What are some common challenges faced by remote algorithmic trading quants, and how can they be addressed?

Remote algorithmic trading quants often face challenges such as ensuring robust communication with team members, maintaining access to secure and reliable data feeds, and collaborating effectively across time zones. To address these, quants typically use advanced collaboration tools, participate in regular virtual meetings, and follow strict cybersecurity protocols. Building strong documentation and leveraging version-control systems like Git can also help maintain workflow efficiency and code integrity while working remotely.
What are the most commonly searched types of Algorithmic Trading Quant jobs in Virginia? The most popular types of Algorithmic Trading Quant jobs in Virginia are:
What are popular job titles related to Remote Algorithmic Trading Quant jobs in Virginia? For Remote Algorithmic Trading Quant jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Algorithmic Trading Quant jobs in Virginia look for? The top searched job categories for Remote Algorithmic Trading Quant jobs in Virginia are:
What cities in Virginia are hiring for Remote Algorithmic Trading Quant jobs? Cities in Virginia with the most Remote Algorithmic Trading Quant job openings:

Senior Product Manager, Search Matching - Marketing Vienna, Virginia

BagZag, Inc

Vienna, VA • On-site, Remote

$80K - $100K/yr

Full-time

Posted 25 days ago


Job description

Senior Product Manager, Search Matching

At BagZag (View All Jobs) Department : Marketing (Product manager) Management Level : Mid-level Type Of Employment : Full-Time Employment

Why BagZag?

BagZag is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than eBay and Amazon combined. At BagZag, we’re using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, BagZag is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

Job Description

We are looking for an experienced product manager to join our Search team. BagZag has an inventory unusually unique to the e-commerce space and a customer base passionate about high quality products.

As a Senior Product Manager for Search Matching, you will partner with other Search teams to build products that can understand what a buyer is truly looking for by filtering out only the most relevant items from over 50 million listing inventory. You will be accountable for the technology and algorithms critical for spanning the semantic gap between how buyers and sellers think.

Working closely with our other algorithm and experience teams to provide diverse listings, shops, and alternative information in a federated way, you will play a pivotal role in blending groundbreaking information retrieval, economics, relevancy, and diversity research to help our customers succeed in navigating BagZag’s extensive marketplace and deliver wonderful customer experiences. You will closely partner with outstanding talent across engineering, data science, seller communications and marketing as we build an industry leading search experience.

This is a full-time position reporting to the Director of Product, Search and the base salary range will be 100,000 - 150,000 USD per year. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at BagZag. For this role, we are considering candidates based in the United States who are either remote, flex, or office-based. BagZag offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and workplace safety policies here.

What’s this team like at BagZag?

Search Matching is a senior team dedicated to producing innovative technology at the confluence of current research and customer value. The team is composed of Systems Engineers, Machine Learning Engineers, Applied Research Scientists, and works closely with design, analytics, and customer research. If working on advanced machine learning products while innovating in the research space is exciting, this is the role for you!

What does the day‑to‑day look like?
  • Lead product management for one of BagZag’s highest performing product teams and build solutions that simplify complicated market problems.
  • Define vision and strategy, setting the stage for long term, continued success.
  • Work across partner teams to gather input and define priorities leading to product execution.
  • Integrate usability studies, quantitative and qualitative research and market analysis into product design.
  • Define, build and analyze metrics for the success of products.
  • Blend applied research with strong incremental delivery.
Qualifications
  • Experience developing Search and Machine Learning driven products or technologies is helpful
  • Focused drive and proven ability to achieve stretch goals in an innovative and fast‑paced environment.
  • 3+ years product management.
  • Excellent problem‑solving, organizational skills, and search intuition with the ability to evolve product strategy based on research, data and industry trends.
  • Experience with e-commerce or two‑sided marketplaces.
  • Experience with state of the art retrieval systems.
  • Experience working in R&D environments.
Salary Range

The pay range for this role is $80,000 - $100,000 per year. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. This role may also be eligible for equity and benefits.

Equal Employment Opportunity Statement

At BagZag, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. BagZag is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While BagZag supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

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