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Remote Algorithmic Trading Quant Jobs (NOW HIRING)

OPTWISE CONSULTING LLC

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Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Algorithmic Trading * Portfolio Analytics Resume & LinkedIn Optimization Guide students in: * Quant-focused resume writing * Technical storytelling * Research presentation * Project positioning

OPTWISE CONSULTING LLC

Be Seen First

Quant Finance Career Coach

New York, NY · Remote

$40 - $50/hr

Algorithmic Trading * Portfolio Analytics Resume & LinkedIn Optimization Guide students in: * Quant-focused resume writing * Technical storytelling * Research presentation * Project positioning

Alpaca

Senior Software Engineer - Core Trading

New York, NY · On-site +1

$134K - $176K/yr

You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading). Who You Are (Must-Haves): * Strong ...

Deeter Analytics Inc

Quant Trading

$300K/yr

We're launching a dedicated algorithmic division-and we're looking for a Head of Quant Trading to architect and scale this effort from day one. Role Summary You will spearhead the development ...

Wintermute

DeFi Algorithmic Trader

New York, NY · On-site +1

About Wintermute Wintermute is a technology unicorn and one of the largest algorithmic trading ... Experience with programmatic statistical analysis and quantitative / analytic skills * High level ...

Keyrock

Engineering Lead- Options

New York, NY · On-site +1

$112K - $147K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... We have been pioneers in adopting the Rust Development language for our algorithmic trading systems ...

Keyrock

Head of Engineering - Options

New York, NY · Remote

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... We have been pioneers in adopting the Rust Development language for our algorithmic trading systems ...

Keyrock

Head of Engineering - Options

New York, NY · On-site +1

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... We have been pioneers in adopting the Rust Development language for our algorithmic trading systems ...

Keyrock

Engineering Lead- Options

New York, NY · Remote

$104K - $138K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... We have been pioneers in adopting the Rust Development language for our algorithmic trading systems ...

Hex Trust

Quantitative Trader

Create algorithmic trading tools to automate and improve trade execution processes. * Use ... Proven track record in quantitative trading and client execution within crypto or similar financial ...

BHFT

Senior Quantitative Equity Trader

New York, NY · On-site +1

Company Description BHFT is a proprietary algorithmic trading firm. Our team manages the full ... Although we maintain office spaces, we currently operate as a 100% remote organization. At BHFT ...

WallStreetQuants

Creative Strategist

$100/hr

... the algorithm is rewarding this week Requirements What we're looking for * A portfolio that shows ... Background or genuine interest in markets, trading, quant finance, or technical subjects - you do ...

Crypto.com

Quant Trader (VP)

Charleston, WV · Remote

$300K - $450K/yr

... algorithmic performance * Partner closely with trading developers to enhance pricing models ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

Old Mission

Systematic Equity Options Trader

Chicago, IL · On-site +1

$170K - $250K/yr

Collaborate with quantitative researchers to translate research insights into production trading ... Must have a strong understanding of the market microstructure and execution algorithms * Excellent ...

Crypto.com

Quant Trader (VP)

$300K - $450K/yr

... algorithmic performance * Partner closely with trading developers to enhance pricing models ... Flexi-work hour and hybrid or remote set-up Aspire career alternatives through us - our internal ...

Injective Labs

Quant Researcher

New York, NY · On-site +1

As a part of our Quant team you'll be studying the crypto market to find profitable trading ... Solid grasp of data structures, algorithms, software engineering principles, and version control.

Nick AI

Backend Engineer

Our mission is to democratize algorithmic trading by making advanced AI-driven investment ... Fully remote-friendly with flexible working hours * Access to cutting-edge AI and trading ...

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Remote Algorithmic Trading Quant information

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$52.5K

$119.2K

$196.5K

How much do remote algorithmic trading quant jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote algorithmic trading quant in the United States is $119,165.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $152,500.00 per year, depending on experience, location, and employer.

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.
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Remote Algorithmic Trading Quant jobs near you
Quant Finance Career Coach

Quant Finance Career Coach

OPTWISE CONSULTING LLC

New York, NY • Remote

$40 - $50/hr

Part-time

Posted 20 days ago

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Job description

We are a North America-based career coaching firm dedicated to helping students and early-career professionals secure competitive positions at leading quantitative finance firms, hedge funds, proprietary trading firms, investment banks, and fintech companies.

Our students come from top universities including CMU, Cornell, MIT, Stanford, Berkeley, Princeton, Columbia, UChicago, NYU, Waterloo, and other leading institutions. We provide personalized career coaching that includes resume development, interview preparation, networking strategy, technical guidance, and recruiting support.

We are seeking experienced Quant Finance Career Coaches who have firsthand industry experience and a passion for mentoring the next generation of quantitative finance professionals.

Responsibilities

As a Quant Finance Career Coach, you will:

Career Strategy

  • Conduct 1-on-1 career consultations
  • Evaluate students' backgrounds and identify strengths and gaps
  • Develop customized recruiting roadmaps
  • Help students target appropriate firms and roles

Examples include:

  • Quant Research
  • Quant Trading
  • Quant Developer
  • Quantitative Analyst
  • Risk Quant
  • Systematic Trading
  • Algorithmic Trading
  • Portfolio Analytics

Resume & LinkedIn Optimization

Guide students in:

  • Quant-focused resume writing
  • Technical storytelling
  • Research presentation
  • Project positioning
  • GitHub optimization
  • LinkedIn branding

Technical Interview Preparation

Coach students on:

Mathematics

  • Probability
  • Statistics
  • Linear Algebra
  • Optimization
  • Stochastic Processes

Programming

  • Python
  • C++
  • SQL
  • Data Structures
  • Algorithms

Quant Topics

  • Options
  • Derivatives
  • Portfolio Theory
  • Market Microstructure
  • Time Series
  • Machine Learning
  • Factor Models

Mock Interviews

Conduct realistic mock interviews including:

  • Technical interviews
  • Quant brainteasers
  • Probability questions
  • Coding interviews
  • Behavioral interviews
  • Research discussions

Provide detailed feedback and improvement plans.

Recruiting Support

Advise students on:

  • Internship recruiting
  • Full-time recruiting
  • Networking strategy
  • Referral strategy
  • Recruiting timelines
  • Offer negotiation

Student Mentorship

  • Track student progress
  • Assign weekly action items
  • Review applications
  • Support recruiting throughout the hiring cycle
  • Provide motivation and accountability

Required Qualifications

  • Bachelor's degree in:
    • Mathematics
    • Statistics
    • Computer Science
    • Physics
    • Financial Engineering
    • Operations Research
    • Economics
    • Quantitative Finance
    • Related quantitative discipline

Preferred:

Master's or PhD

Professional Experience

Minimum 3+ years in one or more of the following:

  • Quant Research
  • Quant Trading
  • Quantitative Development
  • Quantitative Risk
  • Systematic Investing
  • Portfolio Analytics
  • Financial Engineering
  • Algorithmic Trading

Experience at leading firms is highly preferred.

Technical Skills

Strong knowledge of:

Programming

  • Python
  • C++
  • SQL

Quantitative Topics

  • Probability
  • Statistics
  • Machine Learning
  • Time Series
  • Derivatives
  • Optimization
  • Numerical Methods

Recruiting Knowledge

Deep understanding of recruiting at:

  • Hedge Funds
  • Proprietary Trading Firms
  • Investment Banks
  • Asset Managers
  • FinTech Companies

Knowledge of:

  • OA assessments
  • Quant interviews
  • Coding interviews
  • Brainteasers
  • Research presentations
  • Hiring timelines

Coaching Skills

Excellent ability to:

  • Explain complex concepts clearly
  • Mentor students with diverse backgrounds
  • Deliver actionable feedback
  • Build confidence
  • Communicate professionally

Preferred Qualifications

Experience with:

  • ACM/ICPC
  • Kaggle
  • Putnam
  • Math Olympiad
  • Competitive Programming
  • Quant competitions

Ideal Candidate

You are someone who:

  • Has worked in quantitative finance or systematic investing
  • Understands what top firms look for in candidates
  • Enjoys mentoring students
  • Stays current with hiring trends and interview practices
  • Can simplify advanced quantitative concepts
  • Is organized, responsive, and student-focused