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Remote Algorithmic Trader Jobs in Oregon (NOW HIRING)

Remote Algorithmic Trader information

What is the difference between Remote Algorithmic Trader vs Remote Quantitative Analyst?

AspectRemote Algorithmic TraderRemote Quantitative Analyst
Required CredentialsDegree in finance, computer science, or related field; programming skills; knowledge of trading algorithmsDegree in finance, mathematics, or statistics; programming skills; data analysis expertise
Work EnvironmentFinancial firms, trading platforms, hedge funds; primarily remoteFinancial institutions, research firms; often remote or hybrid
Industry UsageUsed in trading firms, hedge funds, proprietary trading desksUsed in investment banks, asset management, research firms
Common Search & ComparisonOften compared for trading strategies and algorithm developmentCompared for data analysis and modeling roles

The main difference is that Remote Algorithmic Traders focus on executing trading strategies using algorithms, while Remote Quantitative Analysts develop models and analyze data to inform trading decisions. Both roles require programming and finance knowledge but differ in daily tasks and end goals.

What is a remote algorithmic trader?

A remote algorithmic trader is a financial professional who uses computer algorithms to execute trades in financial markets from a location outside of a traditional office, often working from home. These traders develop, test, and deploy automated trading strategies that analyze market data and make buy or sell decisions with minimal human intervention. The remote aspect allows for flexible work environments while still participating in fast-paced global markets. Successful remote algorithmic traders typically have strong programming, quantitative, and analytical skills. They may work independently or for trading firms, hedge funds, or financial institutions.

What are some common challenges faced by remote algorithmic traders, and how can they be effectively managed?

Remote algorithmic traders often face challenges such as maintaining reliable access to market data, ensuring secure and low-latency connectivity, and managing time zone differences with team members or markets. To address these, traders typically invest in robust internet infrastructure, use VPNs or dedicated trading servers, and establish clear communication protocols with their teams. Additionally, regular collaboration through virtual meetings and documentation helps ensure alignment and quick problem-solving despite physical distance.

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

To thrive as a Remote Algorithmic Trader, you need strong quantitative analysis, programming expertise (typically in Python or C++), and a solid understanding of financial markets, often supported by a degree in finance, mathematics, or computer science. Familiarity with trading platforms, backtesting tools, and data analysis software, as well as certifications like CFA or FRM, is highly beneficial. Excellent problem-solving, adaptability, and disciplined decision-making set top performers apart in this field. These skills are crucial for developing profitable trading strategies, managing risk, and maintaining competitiveness in a fast-moving, technology-driven environment.
What are popular job titles related to Remote Algorithmic Trader jobs in Oregon? For Remote Algorithmic Trader jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Algorithmic Trader jobs in Oregon look for? The top searched job categories for Remote Algorithmic Trader jobs in Oregon are:
What cities in Oregon are hiring for Remote Algorithmic Trader jobs? Cities in Oregon with the most Remote Algorithmic Trader job openings:
Senior Software Engineer, Exchange

Senior Software Engineer, Exchange

Underdog

OR • Remote

$160K - $240K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago


Job description

About the role

Our exchange is the core technology powering our predictions market offering - we're building an entirely new foundation for sports predictions at scale, and we're looking for the engineers to help us do it right.

We are building the future of prediction markets.

  • You will design, build and scale the systems that underpin our exchange infrastructure - focusing on latency, reliability, and accuracy across the most critical paths in our platform. This means owning core components end to end, making system design decisions that matter, and optimizing performance under real, high-throughput conditions.
  • The team is responsible for the APIs (FIX+REST+WebSockets), market data syndication, and connectivity that sophisticated clients depend on to interact with our markets. You will work closely with teams across Underdog to hold a high bar on performance and availability for customers that expect both.
  • We are a team of highly accountable and ambitious people, and you see yourself the same way. This is high-ownership, high-impact work and your contributions will be visible and impactful.
  • Build and scale core exchange infrastructure - order matching, trade execution algorithms, and the data structures that underpin them
  • Build APIs and data feeds that clients depend on - REST, FIX, WebSockets - and make them fast and reliable
  • Design robust clearing infrastructure, position management, margining, and how money actually moves.
  • Drive technical relationships with our customers (market makers, traders, etc.)
  • Hunt down performance bottlenecks - in databases, internal services, and anywhere latency is costing us
  • Put systems under pressure before production does - rigorous testing of the things that can't go down
  • Help invent what prediction market structure looks like beyond what exists today - new contract types, new mechanics, etc.
  • Move fast, make calls, and own the outcome - we give real autonomy, which means real accountability.
Who you are
  • At least 5+ years of engineering experience, with a track record on high-performance, low-latency systems
  • Strong command of highly performant programming languages (C, Rust, C++, Go, Java, or similar) and the willingness and desire to flex into others.
  • You are product minded and scope well, you make good tradeoffs, and don't need hand-holding.
  • Demonstrable experience thriving in fast-paced and ambiguous environments, where high-agency and ambition go hand-in-hand.
  • Experience in TradeFi, prediction markets, crypto exchange infrastructure or SOR
Even better if you have
  • Background in sports, fantasy, or gaming.
  • Proven experience building highly available, high-volume consumer-facing systems.
  • Deep understanding of concurrency, threading models, and the tradeoffs in performance-sensitive systems

Our target starting base salary range for this position is between $160,000 and $240,000, plus target equity. The starting base salary will depend on a number of factors including the candidate's skills and experience, among other things.

What we can offer you
  • Unlimited PTO for full-time employees (we're extremely flexible with the exception of the first few weeks before & into the NFL season)
  • 16 weeks of fully paid parental leave
  • Home office stipend
  • A connected virtual-first culture with a highly engaged distributed workforce
  • 5% 401k match, FSA, company paid health, dental, vision plan options for employees and dependents

#LI-REMOTE