Remote Algorithmic Trader Jobs
Remote Algorithmic Trader jobs are open across quantitative finance, proprietary trading, and fintech at hedge funds, trading firms, and financial technology companies that run fully distributed teams. Employers hiring remotely right now include Fidelity Investments, BlackRock, and Nurp. Scan the live roles below and apply to whichever ones fit.
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About the Opportunity
We're looking for an experienced Centralized Trader & Portfolio Analyst to join our growing investment operations team.
This is a fully remote position supporting financial advisors across our organization, with a primary focus on securities trading, portfolio rebalancing, and investment analysis.
The ideal candidate is detail-oriented, analytical, comfortable working independently, and experienced in managing trading activity across multiple client accounts.
Prior hands-on experience with LPL Financial's ClientWorks Rebalancer is mandatory. We're looking for someone who already understands the platform and can hit the ground running.
This is an excellent opportunity for someone who enjoys the technical and analytical side of wealth management and wants to play an important role in supporting a growing national advisory firm.
Key Responsibilities
- Execute and oversee daily trading activity across client accounts, predominantly relating to custom model portfolio rebalances, tax-loos harvesting, and occassional ETF and mutual funds review and selection.
- Manage portfolio rebalancing using LPL ClientWorks Rebalancer, ensuring trades are executed accurately and efficiently.
- Monitor client portfolios for allocation drift, cash balances, investment restrictions, and rebalancing opportunities.
- Analyze portfolio allocations, holdings, performance, and risk exposures to help support investment decisions.
- Work closely with financial advisors to implement portfolio changes, investment strategies, and model updates.
- Assist with portfolio transitions, cash management, and the investment of new client assets.
- Review trade activity for accuracy and help resolve trading discrepancies or operational issues.
- Coordinate with custodians, trading platforms, and internal teams to ensure smooth execution and settlement.
- Identify opportunities to improve trading workflows, operational efficiencies, and portfolio management processes.
- Maintain accurate records and follow established trading procedures and compliance requirements.
- Support the continued development and expansion of Perennial's centralized trading capabilities.
Required Qualifications
- Minimum 3 years of experience in securities trading, portfolio rebalancing, investment operations, or a closely related role within the financial services industry.
- Demonstrated hands-on experience with LPL ClientWorks Rebalancer. This is a firm requirement and candidates without this experience will not be considered.
- Active FINRA Series 7 and Series 66 licenses, or qualifying equivalent registrations where applicable.
- Strong understanding of investment products, including stocks, ETFs, mutual funds, and fixed income.
- Experience with portfolio allocation, trading workflows, and rebalancing methodologies.
- Strong analytical skills and exceptional attention to detail.
- Ability to manage multiple priorities and work accurately in a fast-paced environment.
- Excellent communication skills and a collaborative, team-oriented approach.
- Comfortable working independently in a fully remote environment.
- Strong proficiency with Microsoft Excel and financial services technology.
Preferred Qualifications
- Previous experience supporting multiple financial advisors within an independent RIA, hybrid RIA, or broker-dealer.
- Familiarity with additional custodial platforms, particularly LPL, Fidelity and Charles Schwab.
- Experience with portfolio management and rebalancing systems such as iRebal or Orion.
- Experience with model portfolio implementation, tax-aware trading, and portfolio transition management.
- Familiarity with investment performance reporting and portfolio analytics.
- Experience helping improve or scale centralized trading operations.
Compensation & Benefits
We offer a competitive compensation package designed to attract and retain talented professionals.
- Annual base salary depending on qualifications and experience.
- Eligibility for a discretionary performance-based bonus.
- Fully remote work environment.
- Benefits and paid time off in accordance with company policies and eligibility requirements.
- Opportunities for professional development and career advancement.
- A collaborative and supportive team environment within a growing national organization.
About Perennial Financial Services
Perennial Financial Services is a nationally recognized, independent wealth management firm serving individuals, families, and businesses across the country. Founded in 2004, we've grown into a multibillion-dollar organization supporting more than 50 financial advisors across multiple states.
Our success has been built around a simple philosophy: provide advisors with the independence to run their businesses while giving them the technology, resources, and support they need to thrive.
We're proud of our collaborative culture, entrepreneurial mindset, and commitment to doing what's right for our clients and advisors. As we continue to grow, we're looking for talented professionals who want to contribute to that success and help us build an even stronger organization.
Why Join Perennial?
At Perennial, we believe our people are one of our greatest assets.
We're large enough to provide meaningful resources, sophisticated technology, and opportunities for professional growth, but still small enough that individual contributions make a real difference.
You'll have the opportunity to work directly with experienced financial professionals, contribute to the continued development of our trading operations, and help support a firm that's constantly looking for ways to improve.
We value initiative, accountability, collaboration, and people who take pride in their work. If you're someone who enjoys solving problems, improving processes, and being part of a growing organization, we'd love to hear from you.
How to Apply
Please submit your resume along with a brief overview of your experience with LPL ClientWorks Rebalancer, including how you've used the platform in your current or previous roles.
Please note: Prior hands-on experience with LPL ClientWorks Rebalancer and the required securities licenses are mandatory for consideration.
Perennial Financial Services is an equal opportunity employer. Employment decisions are based on qualifications, merit, and business needs, without regard to any status protected by applicable law.
Pay: $75,000.00 - $95,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Paid sick time
- Paid time off
- Retirement plan
- Vision insurance
Experience:
- professional securities trading or portfolio rebalancing: 3 years (Preferred)
- direct, hands-on experience using LPL ClientWorks Rebalancer: 1 year (Required)
- working with an RIA, hybrid RIA, or broker-dealer: 1 year (Preferred)
License/Certification:
- FINRA Series 7 and Series 66 licenses (Required)
Work Location: Remote
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Who's Hiring
Top Industries Hiring
- Government & Public Sector
What Employers Look For
The qualifications that appear most often in remote algorithmic trader jobs.
- Proficiency in Python and at least one compiled language such as C++ or Java
- Experience building and backtesting quantitative trading strategies on historical market data
- Strong foundation in statistics, probability theory, and time series analysis
- Familiarity with market microstructure, order types, and execution algorithms
- Bachelor's or advanced degree in mathematics, computer science, physics, or a related quantitative field
- Experience with low-latency systems, FIX protocol, or direct market access infrastructure
Tips for Your Remote Algorithmic Trader Job Search
Build a public quantitative portfolio
Remote employers can't watch you work, so your GitHub becomes your interview. Publish backtesting code, strategy documentation, and performance teardowns. Algorithmic traders who show a reproducible workflow get callbacks that candidates with identical credentials but no public work don't.
Find remote openings in one place
Migrate Mate lists remote algorithmic trader jobs from across the U.S. so you can search roles that match your strategy focus and seniority, then apply directly without bouncing across multiple sites.
Write like a remote teammate from day one
Remote algorithmic trader roles run on written communication: strategy memos, code review comments, risk documentation. Before your interview, practice explaining a past project in writing as if a distributed team member with no context had to understand it and act on it.
Prepare for async technical screens
Many remote trading firms send take-home coding or strategy assessments before any live interview. Treat these as production-quality submissions: document your assumptions, structure your code for readability, and include a brief written rationale for every design decision.
Remote Algorithmic Trader Jobs: Frequently Asked Questions
How do I get a remote algorithmic trader job?
Remote algorithmic trader roles go to candidates who can demonstrate self-directed output: a GitHub repository with live strategy code, backtesting frameworks, and performance analytics carries more weight than a resume description alone. Remote employers screen heavily for async written communication because code reviews, strategy documentation, and risk discussions all happen in writing. Proficiency in Python, C++, or Julia alongside familiarity with execution frameworks and market microstructure gives candidates a clear edge over applicants who rely on in-person mentorship to fill skill gaps.
Which companies hire remote algorithmic traders?
Employers currently hiring remote algorithmic traders include Fidelity Investments, BlackRock, and Nurp, per current remote listings on Migrate Mate as of November 2026. Remote-first proprietary trading firms, distributed quant hedge funds, and fintech companies building automated execution infrastructure are the most consistent sources of fully remote openings in this role.
Can you get a remote algorithmic trader job with no experience?
Yes, but remote entry-level algorithmic trader roles are harder to land because employers expect you to operate independently from day one without an office to fall back on. The strongest path is a public portfolio: original strategy research, a well-documented backtesting engine, or open-source contributions to quantitative libraries. Remote-first fintech firms and smaller prop trading shops are more willing to consider candidates who can show real code and clear thinking over formal work history.
Do you need a degree for remote algorithmic trader jobs?
Not always, though a quantitative degree in mathematics, statistics, computer science, or financial engineering is common among candidates who get hired. Remote employers care most about demonstrable skills: working strategy code, risk modeling, and the ability to explain your methodology clearly in writing. Candidates without a traditional degree who can show a verifiable performance record or contribute to open-source quant projects regularly compete for and win remote roles at distributed trading firms.
Which industries hire the most remote algorithmic traders?
Most remote algorithmic trader openings sit in Government & Public Sector, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering and quant teams where remote collaboration on strategy development, execution systems, and risk management is built into how the organization operates.
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