If you are passionate about quantitative finance, algorithmic trading, and applying analytical ... Benefits * Fully remote work arrangement with flexibility depending on business requirements.
If you are passionate about quantitative finance, algorithmic trading, and applying analytical ... Benefits * Fully remote work arrangement with flexibility depending on business requirements.
You will collaborate with experienced risk and trading professionals while contributing to ... Benefits * Full-time remote position based in Germany. * Opportunity to work in a fast-paced ...
You will collaborate with experienced risk and trading professionals while contributing to ... Benefits * Full-time remote position based in Germany. * Opportunity to work in a fast-paced ...
$65/hr
A master's or PhD in mathematics or a closely related quantitative field is ideal; peerreviewed ... Remote Seniority level: MidSenior Level
$65/hr
A master's or PhD in mathematics or a closely related quantitative field is ideal; peerreviewed ... Remote Seniority level: MidSenior Level
Imagery Scientist (EO) - Senior
Saint Louis, MO · On-site +1
$160K - $190K/yr
... expertise and quantitative analysis to make recommendations that improve data curation and ... Algorithms * Automated workflows * Scientific exploitation methods * Understanding of: * Remote ...
Quick apply
Imagery Scientist (EO) - Senior
Saint Louis, MO · On-site +1
$160K - $190K/yr
... expertise and quantitative analysis to make recommendations that improve data curation and ... Algorithms * Automated workflows * Scientific exploitation methods * Understanding of: * Remote ...
Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you ... algorithms. We thrive on collaborative innovation, where data scientists, engineers, and product ...
Location - Remote (Europe) How You'll Make an Impact: As a Staff Machine Learning Engineer , you ... algorithms. We thrive on collaborative innovation, where data scientists, engineers, and product ...
Data Scientist Geospatial Analytics
Chesterfield, MO · On-site +1
The global analysts work closely with global traders to help market develop market theses that ... related quantitative field Minimum of 5 years of professional experience in remote sensing ...
Data Scientist Geospatial Analytics
Chesterfield, MO · On-site +1
The global analysts work closely with global traders to help market develop market theses that ... related quantitative field Minimum of 5 years of professional experience in remote sensing ...
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 ...
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 ...
... and quantitative feedback. * Collaborate closely with Product Managers, Business Analysts ... Fully remote onboarding experience. * Performance-based annual or quarterly bonus opportunities.
... and quantitative feedback. * Collaborate closely with Product Managers, Business Analysts ... Fully remote onboarding experience. * Performance-based annual or quarterly bonus opportunities.
National Accounts Manager (Remote Opportunity)
Washington, MO · Remote
$90K - $100K/yr
... the quantitative value of the proposed solution and making recommendations on proceeding (or ... Trade Show attendance to represent DPG products. * Other tasks as assigned by supervisor.
National Accounts Manager (Remote Opportunity)
Washington, MO · Remote
$90K - $100K/yr
... the quantitative value of the proposed solution and making recommendations on proceeding (or ... Trade Show attendance to represent DPG products. * Other tasks as assigned by supervisor.
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?
| Aspect | Remote Algorithmic Trading Quant | Remote Quantitative Analyst |
|---|---|---|
| Credentials | Degree in finance, computer science, or mathematics; coding skills; experience with trading algorithms | Degree in finance, economics, mathematics; statistical and analytical skills; programming knowledge |
| Work Environment | Financial firms, hedge funds, trading firms; focus on developing and testing trading algorithms | Financial institutions, investment firms; focus on data analysis, modeling, and risk assessment |
| Industry Usage | Common in trading and hedge fund industries | Widespread 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:
Full-time
Posted 9 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 Quantitative Researcher - Option based in Netherlands.
As a Quantitative Researcher specializing in options, you will develop advanced pricing models, research strategies, and quantitative solutions for sophisticated trading environments. You will work at the intersection of mathematics, financial engineering, and technology, contributing to the design and optimization of options products and trading strategies. This role offers the opportunity to solve complex quantitative challenges, from volatility modeling and risk analysis to strategy development and implementation. Working closely with engineering and trading teams, you will help transform research ideas into scalable production solutions. If you are passionate about quantitative finance, algorithmic trading, and applying analytical expertise to innovative markets, this position provides an exciting opportunity in a global, fast-paced environment.
Accountabilities
- Develop and implement quantitative research solutions for options pricing, risk management, and trading strategies, covering the full lifecycle from ideation to production deployment.
- Design, maintain, and improve options valuation models, including volatility surface modeling, Greeks calculations, and advanced pricing frameworks for complex derivatives.
- Conduct research into implied volatility behavior, volatility arbitrage opportunities, and options market microstructure across traditional and digital asset markets.
- Collaborate closely with software engineers and trading teams to ensure efficient implementation of quantitative models and strategies into trading platforms.
- Participate in the development of new financial products by contributing to modeling, parameter optimization, risk assessment, and strategy refinement.
- Analyze trading data, market behavior, and quantitative signals to identify opportunities for improving pricing accuracy and trading performance.
- Continuously evaluate new methodologies, technologies, and research approaches to enhance quantitative capabilities.
- 4+ years of experience as a Quantitative Researcher, Quantitative Analyst, or similar role, with demonstrated expertise in options pricing research and financial modeling.
- Master's degree or higher in Mathematics, Statistics, Financial Engineering, Quantitative Finance, or another relevant quantitative discipline.
- Strong practical knowledge of options pricing methodologies, including Black-Scholes, binomial models, Monte Carlo simulations, and stochastic volatility models such as Heston or SABR.
- Experience developing and implementing quantitative models using programming languages such as Python or similar analytical tools.
- Strong analytical and problem-solving skills, with the ability to tackle complex mathematical challenges in a fast-paced environment.
- Experience with financial markets, hedge funds, investment firms, trading houses, brokerages, or similar environments is highly valued.
- Knowledge of trading data processing, price forecasting, machine learning algorithms, or decentralized exchange (DEX) trading is an advantage.
- Excellent communication skills in English, with the ability to collaborate effectively with international teams and stakeholders.
- Strong academic background, intellectual curiosity, and a passion for continuous learning and innovation.
- Fully remote work arrangement with flexibility depending on business requirements.
- Opportunity to contribute to the future of global digital asset and financial technology markets.
- Work alongside talented quantitative researchers, engineers, and financial professionals in an international environment.
- High-impact role with ownership over complex quantitative projects and innovative trading solutions.
- Access to continuous learning opportunities and career development in a rapidly evolving industry.
- Competitive salary package and comprehensive employee benefits.
- Collaborative, results-driven culture with autonomy and opportunities to make meaningful contributions.
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.
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