2

Remote Algorithmic Trading Quant Jobs in Missouri

$94K - $124K/yr

... algorithmic trading, quantitative trading, OMS, EMS, or other financial transaction systems is ... Monthly remote work stipend. * Fully remote and globally distributed work environment.

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$89K - $121K/yr

... expertise and quantitative analysis to make recommendations that improve data curation and ... Algorithms * Automated workflows * Scientific exploitation methods * Understanding of: * Remote ...

$65/hr

A master's or PhD in mathematics or a closely related quantitative field is ideal; peerreviewed ... Remote Seniority level: MidSenior Level

Remote Responsibilities * Pricing strategy - set and own the pricing strategy across the wealth ... of a trading or investment client book is essential. * Strong quantitative skills - pricing ...

... algorithmic decision-making products. * Proven experience collaborating with Data Science and ... Ability to evaluate complex business and commercial trade-offs while balancing customer ...

New

Continuously reduce latency through algorithmic improvements, memory optimization, cache efficiency ... Fully remote, global working environment * Flexible contractor arrangement with long-term ...

Remote Algorithmic Trading Quant information

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.
What are the most commonly searched types of Algorithmic Trading Quant jobs in Missouri? The most popular types of Algorithmic Trading Quant jobs in Missouri are:
What are popular job titles related to Remote Algorithmic Trading Quant jobs in Missouri? For Remote Algorithmic Trading Quant jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Algorithmic Trading Quant jobs in Missouri look for? The top searched job categories for Remote Algorithmic Trading Quant jobs in Missouri are:
What cities in Missouri are hiring for Remote Algorithmic Trading Quant jobs? Cities in Missouri with the most Remote Algorithmic Trading Quant job openings:

Senior Software Engineer - Advisory Suite

Jobgether

On-site, Remote

$94K - $124K/yr

Full-time

Posted 8 days ago


Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer - Advisory Suite based in Netherlands.

As a Senior Software Engineer, you will play a key role in building and scaling advanced advisory and trading-related services that support a growing financial technology ecosystem. This position offers the opportunity to work on highly performant, distributed systems handling complex financial workflows such as portfolio management, block trading, and retirement investment services. You will contribute across the full technology stack, from low-level performance optimization to high-level system architecture. Working within a collaborative and fast-moving environment, you will help shape critical technical decisions while delivering reliable and scalable solutions. The role is ideal for engineers who thrive in challenging environments, enjoy solving complex problems, and want to make a significant impact on the future of financial services infrastructure.

Accountabilities
  • Design, develop, and maintain scalable services supporting advisory and investment management products, including portfolio management, block trading, and retirement-focused solutions.
  • Architect and optimize distributed systems with a strong focus on performance, reliability, scalability, and high availability.
  • Contribute to both backend and frontend development efforts while ensuring seamless integration across platforms and services.
  • Make critical technical decisions regarding system design, data modeling, concurrency management, and infrastructure architecture.
  • Improve system throughput and latency through performance tuning and low-level optimization techniques.
  • Collaborate closely with cross-functional teams to deliver high-quality products and exceptional user experiences.
  • Support the evolution of financial transaction systems and ensure operational excellence in production environments.
  • Participate in code reviews, technical discussions, and engineering best practices to maintain high development standards.
Requirements
  • Proven experience as a Software Engineer, with senior-level expertise strongly preferred.
  • Previous hands-on experience developing trading, exchange, market-making, algorithmic trading, quantitative trading, OMS, EMS, or other financial transaction systems is required.
  • Strong background in system design, service-oriented architecture, object-oriented data modeling, and distributed systems.
  • Proficiency in one or more programming languages such as C, C++, Go, Rust, Zig, Java, Scala, or Python.
  • Deep understanding of scalability, high availability, concurrency control, databases, algorithms, and messaging systems.
  • Experience optimizing low-latency and high-throughput applications.
  • Strong analytical and problem-solving skills with a data-driven mindset.
  • Familiarity with message brokers and event-driven architectures.
  • Excellent communication skills and the ability to work effectively in distributed teams.
  • Knowledge of the FIX protocol is considered a plus.
  • Experience with observability tools, distributed tracing, continuous profiling, benchmarking, and performance monitoring is advantageous.
Benefits
  • Competitive salary package.
  • Equity or stock option opportunities.
  • Comprehensive health benefits.
  • One-time home office setup allowance.
  • Monthly remote work stipend.
  • Fully remote and globally distributed work environment.
  • Opportunity to work on cutting-edge financial technology products at scale.
  • Exposure to complex technical challenges and significant ownership of projects.
  • Collaborative, diverse, and international team culture.
  • Career growth opportunities within a rapidly expanding organization.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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