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Remote Trader Jobs in Boca Raton, FL (NOW HIRING)

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Remote Trader information

See Boca Raton, FL salary details

$37.5K

$91.8K

$255.7K

How much do remote trader jobs pay per year?

As of Jun 27, 2026, the average yearly pay for remote trader in Boca Raton, FL is $91,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,600.00 and $100,100.00 per year, depending on experience, location, and employer.

What is the difference between Remote Trader vs Remote Stock Analyst?

AspectRemote TraderRemote Stock Analyst
Required CredentialsTrading licenses, financial certificationsFinance or investment certifications, degree in finance or economics
Work EnvironmentTrading platforms, real-time data analysisResearch reports, market analysis, data interpretation
Industry UsageFinancial trading firms, investment companiesResearch firms, investment banks, financial media
Common Search IntentTrading strategies, live trading jobsMarket analysis, stock research roles

Remote Traders focus on executing trades and managing portfolios in real-time, often requiring trading licenses. Remote Stock Analysts analyze market data and produce reports, typically needing finance-related certifications. While both roles work remotely within the finance industry, their core functions differ: traders actively buy and sell securities, whereas analysts provide insights and recommendations based on research.

What Does a Remote Trader Do?

A remote trader works from home to handle virtual trading tasks, earning a commission by making the accounts of clients and businesses profitable. As a remote trader, your responsibilities have you handling financial investments, bonds, shares and assets, stocks, and funds on behalf of your clients or trading company. Your duties require you to use research skills to analyze trading results and make fast decisions to buy and sell, with the goal of making as much money as possible with reduced risks. You communicate with other traders and clients through phone calls, emails, and system messages. The term ‘remote trader’ may also refer to traders who work for themselves or day traders.

What are some common challenges remote traders face, and how can they effectively manage them?

Remote traders often encounter challenges such as maintaining discipline without direct supervision, staying updated with real-time market news, and managing feelings of isolation. To address these, it's crucial to establish a structured daily routine, leverage reliable trading platforms with integrated news feeds, and participate in online trading communities or virtual team meetings. Consistent communication with colleagues and ongoing professional development can also help remote traders stay connected and effective in their roles.

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

To thrive as a Remote Trader, you need a solid understanding of financial markets, analytical skills, and typically a degree in finance, economics, or a related field. Proficiency with trading platforms (such as MetaTrader or Bloomberg Terminal), technical analysis tools, and real-time data software is essential. Strong decision-making, discipline, and the ability to manage risk under pressure make individuals stand out in this position. These skills ensure effective trade execution, risk mitigation, and consistent performance in a fast-moving remote environment.

What is a Remote Trader?

A Remote Trader is a financial professional who buys and sells securities, commodities, or other financial instruments from a location outside of a traditional office or trading floor, often working from home. This role leverages online trading platforms and technology to analyze markets, execute trades, and manage portfolios. Remote Traders can work independently or for firms, and their success relies on market knowledge, risk management, and strong analytical skills. The flexibility of remote trading allows professionals to operate in global markets and often outside standard business hours.
What are the most commonly searched types of Trader jobs in Boca Raton, FL? The most popular types of Trader jobs in Boca Raton, FL are:
What are popular job titles related to Remote Trader jobs in Boca Raton, FL? For Remote Trader jobs in Boca Raton, FL, the most frequently searched job titles are:
What job categories do people searching Remote Trader jobs in Boca Raton, FL look for? The top searched job categories for Remote Trader jobs in Boca Raton, FL are:
What cities near Boca Raton, FL are hiring for Remote Trader jobs? Cities near Boca Raton, FL with the most Remote Trader job openings:

Active Trader Product Manager - TradeStation

TradeStation

Plantation, FL • On-site, Remote

Full-time

Retirement, PTO

Posted 16 days ago


Job description

Remote Position - must reside in Florida, Texas, Illinois, New York, New Jersey, Colorado, Idaho, Massachusetts, Michigan, Minnesota, Missouri, North Carolina, South Carolina, Utah or Virginia

Who We Are :

TradeStation is the home of those born to trade. As an online brokerage firm and trading ecosystem, we are focused on delivering the ultimate trading experience for active traders and institutions. We continuously push the boundaries of what's possible, encourage out-of-the-box thinking, and relentlessly search for like-minded innovators.

At TradeStation, we are building an AI-First culture. We expect team members to embrace AI as a core part of their daily workflow, whether that’s using AI to accelerate development, enhance decision-making, improve client outcomes, or streamline internal processes. We hire, grow, and promote people who can harness AI responsibly and creatively. We treat AI as a partner in problem-solving, not just a tool; following our governance standards to ensure AI is used ethically, securely, and transparently. If you join us, you’re joining a culture whereAI is how we work .

Are you ready to make yourself at home?

What We Are Looking For :

We are looking for an AI-native Product Manager to join our Active Trader Product team. This is not a traditional PM role. This role will write structured specs that AI agents build from, orchestrate Claude and spec-kit tooling daily, and drive the customer experience for our trading platforms at a pace that was simply not possible before.

The ideal candidate is someone who has already crossed the threshold: comfortable using Claude Code and agentic workflows to prototype, treat specs as living artifacts rather than documents, and understand that the quality of intent determines the quality of what gets built.

In practice, this means spending a significant portion of time writing structured specs that engineering agents build from directly - replacing traditional ticket-writing and lengthy PRD cycles with a faster, more precise process. That is the daily rhythm of this role.

Trading experience matters - this team is derivatives-focused, and our customers trade multi-leg options, futures, and equities at a professional level; however, trading fluency is the floor, not the ceiling. The differentiator for this role is the ability to translate domain knowledge into precision specs that an agent can execute without asking clarifying questions.

What You’ll Be Doing :

Spec-Driven Development (Primary Responsibility)

  1. Write high-quality, machine-readable product specs using the TradeStation GitHub Spec Kit workflow (∕speckit.specify, ∕speckit.plan, ∕speckit.tasks) that agents can execute with minimal back-and-forth
  2. Generate BRDs, epics, and engineering-ready stories in hours using Claude and our internal pm-spec skills, not days
  3. Own the spec queue for your product area; maintain a pipeline deep enough that engineering agents are never starved for context
  4. Iterate on specs with AI agents rather than waiting for long sprint cycles — targeting 2–5 day feature cycles from intent to working prototype
  5. Use Cowork for desktop automation and Claude Code for direct agentic workflows, including prototyping and spec validation

Active Trader Product Ownership

  1. Manage the product roadmap for the Active Trader segment across TITAN X, HUB, and Mobile, with particular focus on complex options strategies, futures, and derivatives tooling
  2. Conduct customer discovery with VIP active traders and translate insights directly into spec-ready briefs — using AI to synthesize research, identify patterns, and prioritize with data
  3. Partner with design and engineering to ship features that deliver measurable improvements in trade volume, post-trade visibility, and retention of high-value active traders
  4. Use Claude to build and own self success measurement dashboards by leveraging internal MCP connections – monitor KPIs autonomously, surface signals early, and act without waiting for reports

Cross-Functional & Strategic Contribution

  1. Contribute to TradeStation’s AI-First operating model by actively participating in spec review sessions, sharing workflows and learnings with the PM team, and help establish best practices for agentic product development
  2. Evaluate industry and competitive developments in FinTech, AI tooling, and the active trader space — proactively flag shifts that affect the roadmap
  3. Manage product launches with tight coordination between engineering, marketing, and CX; ensure documentation and communications are generated efficiently using AI tooling

The Skills You Bring :

AI Tooling & Spec-Driven Development (Top Priority)

  1. Demonstrated daily use of Claude, Claude Code, or equivalent LLM-based agentic tools in a professional context — not just familiarity, but active usage as a core workflow
  2. Ability to write precise, structured product specs that minimize ambiguity and serve as the primary artifact for engineering execution (replacing traditional user stories + lengthy PRDs)
  3. Experience with or willingness to rapidly master: GitHub Spec Kit (∕specify, ∕plan, ∕tasks), Claude Code (terminal-based agentic coding), and Cowork (desktop automation)
  4. Comfort with prompt engineering, context construction, and iterating on AI outputs — you know the difference between garbage-in/garbage-out and a well-structured brief
  5. Ability to review AI-generated code at a high level for quality and spec fidelity, even without writing it yourself

Product Management

  1. Strong command of PM fundamentals: discovery, prioritization, road mapping, KPI definition, stakeholder communication, and go-to-market
  2. Track record of shipping software features in an agile environment with measurable business impact
  3. Ability to build self-service analytics dashboards (Amplitude, Databricks, or equivalent) — data fluency is expected, not optional
  4. Experience working directly with engineering teams and understanding technical trade-offs — you can have a meaningful conversation about API design, latency, and data models

Active Trading Domain Knowledge

  1. Working knowledge of active trading, with meaningful understanding of multi-leg options strategies, equity derivatives, and/or futures — enough to write accurate specs without needing a SME for every requirement
  2. Familiarity with broker-dealer platform conventions, order entry UX, and post-trade analytics
  3. Appreciation for what “VIP-level” active trader UX looks like and what separates professional-grade tools from consumer-grade experiences

Mindset & Collaboration

  1. A demonstrated growth orientation toward AI: you have proactively invested in building AI fluency and you treat it as a multiplier, not a novelty
  2. Highly organized with the ability to own multiple spec tracks simultaneously without losing precision
  3. Strong written communication — your clarity on paper directly determines what gets built
  4. Demonstrable proficiency with Claude or equivalent AI tooling in a professional product management or development workflow
  5. Experience writing detailed product specifications that have been used directly as engineering inputs
  6. Hands-on experience with Claude Code, GitHub Spec Kit, or Cowork preferrable
  7. Personal trading experience in options or futures — actual market participation creates intuition that is hard to teach preferrable
  8. Experience in a spec-driven or agentic development environment, where AI agents execute against PM-authored specifications preferrable
  9. Familiarity with Amplitude, Databricks, or similar analytics platforms for self-service product measurement preferrable

Minimum Qualifications :

  1. Bachelor's degree in business, finance, or related field
  2. 5+ years of experience in product management, with a focus on active trader in the financial services industry

Desired Qualifications :

  1. Currently holding (or previously held) series 4, 7, 63, and 24 licenses

What We Offer :

  1. Collaborative work environment
  2. Competitive Salaries
  3. Yearly bonus and generous 401k plan
  4. Comprehensive benefits for you and your family starting Day 1
  5. Unlimited Paid Time Off
  6. Flexible working environment
  7. TradeStation Account employee benefits, as well as full access to trading education materials
  8. Pay Range (US) $133-148K (Countries outside of the US have differing ranges in accordance with local labor markets)

TradeStation provides equal employment opportunities to current and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, sexual orientation, age, pregnancy, disability, handicap, citizenship, veteran or marital status, or any other legally recognized status entitled to protection under federal, state, or local anti-discrimination laws.