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Remote Python Trading Jobs in New York (NOW HIRING)

DAOLaunch

Defi Associate - Re7 Labs

Manhattan, NY · Remote

Responsibilities Vault Operations & Risk Management Design and maintain Python / TypeScript bots ... DeFi, quant trading or crypto fund operations Demonstrated experience designing automated vault ...

2Bridge Partners

FIX Integration Engineer

New York, NY · On-site +1

$140K - $200K/yr

This role offers a flexible hybrid or remote work model. Target compensation is $140,000-$200,000 ... Work directly with external clients, integrating real-time trading and messaging workflows * Gain ...

2Bridge Partners

FIX Integration Engineer

Manhattan, NY · On-site +1

$114.60K - $154.30K/yr

This role offers a flexible hybrid or remote work model. Target compensation is $140,000-$200,000 ... real-time trading and messaging workflows Gain deep exposure to production-grade financial ...

Career Renew

Staff AI Engineer

New York, NY · Remote

$175K - $250K/yr

Senpi agents make real trades with real money 24/7, generating a continuous stream of decisions and ... Strong software engineering -- Python is your primary language, comfortable with Go or TypeScript ...

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All JobsPython Trading JobsRemote Python Trading JobsRemote Python Trading Jobs in New York

Remote Python Trading information

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

To thrive as a Remote Python Trading professional, you need strong proficiency in Python programming, quantitative analysis, and a solid understanding of financial markets, often supported by a relevant degree in finance, mathematics, or computer science. Experience with trading platforms, APIs, backtesting frameworks, and familiarity with libraries like pandas, NumPy, and scikit-learn are typically required. Analytical thinking, problem-solving, and effective remote communication are essential soft skills for success in this role. These skills enable the development of robust trading algorithms, effective risk management, and seamless collaboration in a distributed work environment.

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

Remote Python trading developers often encounter challenges such as managing effective communication with distributed teams, ensuring code reliability in automated trading systems, and keeping up with rapidly evolving market requirements. To address these, it’s important to establish clear communication channels (such as daily stand-ups or regular check-ins), write well-documented and thoroughly tested code, and stay updated on current trading technologies and market regulations. Additionally, leveraging collaborative tools like version control systems and implementing robust monitoring for trading algorithms helps ensure both team alignment and system stability.

What is a Remote Python Trading job?

A Remote Python Trading job involves developing, maintaining, and optimizing trading algorithms or systems using the Python programming language, all while working remotely. Professionals in this role typically work for financial institutions, hedge funds, or fintech companies, analyzing market data, building automated trading strategies, and ensuring their code runs efficiently and securely. Strong programming skills in Python, knowledge of financial markets, and experience with trading platforms or APIs are essential. The remote nature of the job allows professionals to work from anywhere with a reliable internet connection.

What is the difference between Remote Python Trading vs Remote Quantitative Analyst?

AspectRemote Python TradingRemote Quantitative Analyst
Required CredentialsPython programming, finance knowledge, data analysis skillsMathematics, statistics, programming, finance or economics degree
Work EnvironmentFinancial firms, hedge funds, trading companiesFinancial institutions, investment firms, research organizations
Industry UsageHigh in trading and algorithm developmentHigh in risk modeling and quantitative research
Common Search/ComparisonYesYes

Remote Python Trading focuses on developing trading algorithms using Python, primarily in trading firms. Remote Quantitative Analysts work on financial modeling and risk analysis, often requiring similar skills but with a broader focus on quantitative research. Both roles involve programming and finance, but their core responsibilities differ in application and industry emphasis.

What are popular job titles related to Remote Python Trading jobs in New York? For Remote Python Trading jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Python Trading jobs in New York look for? The top searched job categories for Remote Python Trading jobs in New York are:
What cities in New York are hiring for Remote Python Trading jobs? Cities in New York with the most Remote Python Trading job openings:
Remote Python Trading jobs near you

Senior Quant Engineer (Open to Remote)

Arch Capital Group

White Plains, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
About the Role
Design and build quantitative technology solutions powering a systematic, data-driven investment platform for a $46bn global investment management function. Focused primarily on fixed income and credit markets while also supporting alternative investment strategies across the platform. Partner closely with portfolio managers, traders, quantitative researchers, risk managers, and investment operations teams to design and implement scalable tools for portfolio construction, trading, analytics, and investment decision-making. Role demands a highly hands-on senior engineer who can develop robust data pipelines, analytics frameworks, and front-office workflows, consistently with best-practices across analytics teams at Arch. Contribute to the ongoing development of AIM's internal investment platform, including backend services and APIs supporting AIMI Native - the firm's internal web-based investment management interface. Reporting directly to the Head of Quant Engineering, with close collaboration across engineering and technology partners at AIM.
It is preferred, but not required, that candidates are willing and open to relocation to Bermuda. If not, this role is can sit remotely in the US, but candidates must be EST time zone based.
Job Responsibilities
  • Design and build front-office quantitative tools and infrastructure supporting portfolio managers, traders, and alternative asset managers across fixed income and credit strategies
  • Develop and maintain data ingestion and processing pipelines integrating data from major financial vendors (ICE, Bloomberg, FactSet, Kamakura, LSEG, and others)
  • Build and enhance portfolio analytics, optimization frameworks, and simulation environments for portfolio construction, risk analysis, and strategy implementation
  • Design and implement daily trading order generation and portfolio management workflows, integrating quantitative tools with front-office systems to streamline the investment process
  • Partner with portfolio managers and traders to translate investment workflows and business requirements into scalable technical solutions
  • Develop backend services and API interfaces for the AIMI internal investment platform, enabling seamless interaction between analytics systems and front-office applications
  • Build scalable, maintainable Python-based analytics libraries and services following software engineering and quantitative development best practices
  • Ensure data quality, integrity, and consistency across all datasets used for portfolio construction, risk analysis, and trading decisions
  • Collaborate with quant researchers, risk, IT, and operations teams to deliver robust and scalable quantitative infrastructure across the investment platform
  • Contribute to building a best-in-class, data-driven investment technology platform supporting both fixed income and alternative strategies
  • Support the production environment of quantitative tools used by the investment team, ensuring reliability, transparency, and operational efficiency

Skills and Qualifications
  • 10+ years of experience in quantitative engineering, financial engineering, or front-office technology within asset management, hedge funds, financial institutions or other similarly data-driven entity
  • Strong hands-on Python programming skills, including production-quality analytics and data processing frameworks
  • Experience working with financial market data vendors such as Bloomberg, ICE, FactSet, Kamakura, LSEG, or similar large financial datasets

  • Deep experience in data ingestion, normalization, and large-scale data processing, preferably in financial markets environments
  • Solid understanding of fixed income and credit markets, including bonds, credit risk metrics, and portfolio analytics preferred
  • Experience designing and implementing portfolio optimization or simulation frameworks preferred
  • Track record building front-office quantitative tools used by portfolio managers or traders
  • Familiarity with REST APIs and backend service development for internal applications and analytics platforms
  • Proven ability to collaborate with quant researchers, portfolio managers, risk teams, and technology groups in complex data-rich environments
  • Strong analytical, problem-solving, and engineering skills with the ability to translate business requirements into scalable technical solutions
  • Excellent communication skills - able to convey complex quantitative and technical concepts to investment professionals
  • Strong team player comfortable working across investment, research, and technology teams in a fast-paced environment

Education
  • Master's or Ph.D., or equivalent work experience, in a quantitative discipline: e.g., economics, finance, statistics, science, engineering

#LI-remote
#LI-AT1
For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.
$234,090 - $316,710/year
  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.
  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.
10200 Arch Capital Services LLC

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