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Home Based Algorithmic Trading Software Developer Jobs in New York

Senior Software Engineer - Trading

New York, NY · On-site +1

$134K - $176K/yr

... developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top ... Knowledge of algorithms, distributed systems, scalability, high availability, databases, low ...

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets ... of trading and transaction data, generate insights, prioritize them and build solutions based on ...

Senior Software Engineer - Core Trading

New York, NY · On-site +1

$134K - $176K/yr

... developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top ... Knowledge of algorithms, distributed systems, scalability, high availability, databases, low ...

... trading risk and intraday monitoring of the algorithms across all business types, products, and clients • be responsible for direct interaction with the developers and quantitative analysts ...

About Wintermute Wintermute is one of the largest algorithmic trading companies in digital assets ... of trading and transaction data, generate insights, prioritize them and build solutions based on ...

Algo Java Developer

Manhattan, NY · On-site

$56.25 - $72.75/hr

Algo Java Developer Location: New York, NY (Remote until Covid is resolved, then in office ... The team develops and maintains its own Algorithmic Trading Container, View Server and HTML5 based ...

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Home Based Algorithmic Trading Software Developer information

What is the difference between Home Based Algorithmic Trading Software Developer vs Quantitative Analyst?

AspectHome Based Algorithmic Trading Software DeveloperQuantitative Analyst
Required CredentialsBachelor's in Computer Science, Software Engineering, or related field; coding certificationsDegree in Mathematics, Finance, or Economics; often advanced degrees
Work EnvironmentRemote, focused on software development and codingOffice or remote, analyzing data and developing models
Industry UsageFinancial firms, hedge funds, trading platformsInvestment banks, asset management, hedge funds
Common Search/ComparisonYesYes

While both roles involve quantitative skills, the Home Based Algorithmic Trading Software Developer primarily focuses on coding and developing trading algorithms remotely, whereas the Quantitative Analyst emphasizes data analysis and model development, often in an office setting.

What are the most commonly searched types of Algorithmic Trading Software Developer jobs in New York? The most popular types of Algorithmic Trading Software Developer jobs in New York are:
What are popular job titles related to Home Based Algorithmic Trading Software Developer jobs in New York? For Home Based Algorithmic Trading Software Developer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Home Based Algorithmic Trading Software Developer jobs in New York look for? The top searched job categories for Home Based Algorithmic Trading Software Developer jobs in New York are:
What cities in New York are hiring for Home Based Algorithmic Trading Software Developer jobs? Cities in New York with the most Home Based Algorithmic Trading Software Developer job openings:

Algorithmic Trading Data Analyst/Engineer

Quanta Search

Manhattan, NY • On-site

Full-time

Posted 10 days ago


Job description

Our client is a global financial technology company, provider of advanced algorithms and data-driven analytics for clients in Futures and US Cash Treasury markets.
They are looking for a highly analytical, motivated, and self-driven data engineer with a strong background in designing and constructing highly scalable and flexible data management systems to join our algorithmic trading data analytics/infrastructure team in NYC. You will have the opportunity to make significant contributions to our pre/post trade analytics platform and help define our product's strategic direction through thoughtful design and detailed analysis. As a key member of this team you will be responsible for building, enhancing and maintaining our 35 TB historical database which grows by about 200 GB every day. You will closely collaborate with quantitative researchers and build/improve the necessary databases and services to enable their research. You will also work closely with the sales and other client facing teams to provide analytical solutions to their questions about execution performance. Additionally, you will act as a mentor to other team members and coach them on best practices and engineering standards. You may also be occasionally required to troubleshoot production issues when they occur.
Skills and Background:
Required:
  • Experience working with large financial datasets like market data, order/execution data, or positions data
  • Experience with data analysis using languages such as KDB+/Q, R, Python/Pandas
  • Comfortable with mathematical concepts such as regression techniques, and statistical analysis
  • Experience working in a Unix/Linux environment
  • Strong analytical and problem-solving skills with a proactive attitude to own issues and solve them
  • Excellent team-player and communication skills
Desired:
  • Experience with algorithmic execution and TCA especially in the futures/cash treasuries market is a big plus
  • Familiarity with distributed trading systems/parallel computing
  • Proficiency with C++, REST APIs and UI technologies/framework such as Node.JS, Angular

Thank you for illuminating hiring with Quanta Search!
www.quantasearch.com