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Quant Python Remote Jobs in Raleigh, NC (NOW HIRING)

Redhat

Senior UX Researcher AI

Raleigh, NC · On-site +1

$118.60K - $195.68K/yr

Query and analyze the existing participant database (SQL, R, or Python) to identify sampling biases ... Transform qualitative and quantitative research data into atomic, structured units suitable for ...

Redhat

UX Researcher - AI

Raleigh, NC · On-site +1

$96.44K - $154.19K/yr

Query and analyze the existing participant database (SQL, R, or Python) to identify sampling biases ... Strong foundational knowledge of UX research methods - qualitative and quantitative - even though ...

SAS

Emerging Career Software Developer- RDT

Cary, NC · On-site +1

Sr. Associate Software Developer- Hybrid, Cary, NC or Remote in North Carolina We're a leader in ... Bachelor's degree in computer science or related quantitative field. * Minimum 2 years of ...

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How much do quant python remote jobs pay per hour?

As of May 30, 2026, the average hourly pay for quant python remote in Raleigh, NC is $56.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 per hour, depending on experience, location, and employer.

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

To thrive as a Quant Python Remote professional, you need a strong background in quantitative analysis, mathematics, and expertise in Python programming, often supported by a degree in a quantitative field. Familiarity with libraries like NumPy, pandas, and scikit-learn, as well as experience with version control systems and cloud-based collaboration tools, is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help distinguish top performers in this role. These competencies are crucial for developing robust quantitative models, collaborating efficiently across distributed teams, and driving data-driven decision-making in finance or related sectors.

What are some typical challenges faced by Quant Python professionals working remotely, and how can they be addressed?

Quant Python professionals working remotely often encounter challenges such as collaborating effectively with team members across different time zones, maintaining clear communication on complex quantitative models, and ensuring secure access to sensitive financial data. To address these issues, it's important to utilize robust collaboration tools (like Slack or Zoom), establish regular check-ins with teammates, and follow best practices for code documentation and version control. Additionally, many employers provide secure VPNs and cloud-based platforms to facilitate safe data access, helping remote quants stay productive and connected.

What is a Quant Python Remote job?

A Quant Python Remote job involves working as a quantitative analyst or developer, focusing on financial modeling, data analysis, and algorithmic trading using Python, all while working remotely. Professionals in this role use Python to develop quantitative strategies, analyze financial data, and create tools for risk management or trading. These jobs are popular in hedge funds, investment banks, and fintech companies seeking experts who can work from anywhere. Strong programming skills, knowledge of statistics, and experience in finance are typically required.

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

AspectQuant Python RemoteQuantitative Analyst
Required CredentialsDegree in Math, Stats, or CS; Python proficiency; sometimes certificationsDegree in Finance, Math, or Economics; strong programming skills; certifications like CFA are common
Work EnvironmentRemote, flexible hours, often self-directedTypically office-based, but increasingly remote; collaborative teams
Employer & IndustryFinancial firms, hedge funds, fintech companiesInvestment banks, asset management firms, hedge funds
Search & Comparison IntentLooking for remote Python-based quant rolesSeeking quantitative analysis roles in finance

While both roles involve quantitative skills and finance knowledge, Quant Python Remote emphasizes remote work and Python programming, whereas Quantitative Analyst roles may be more traditional and office-based, often requiring finance-specific certifications. Candidates should consider their preferred work environment and skill set when choosing between these roles.

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

Senior Quant Engineer (Open to Remote)

Archgroup

Raleigh, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 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-oce 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-oce 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-oce 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-oce 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 eciency

Skills and Qualifications

  • 10+ years of experience in quantitative engineering, financial engineering, or front-oce 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-oce 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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