$105K - $138K/yr
... thinking, and superior execution skills. You'll thrive here if you are eager to build and ... Continuously optimizing programmatic performance through experimentation and quantitative analysis.
$105K - $138K/yr
... thinking, and superior execution skills. You'll thrive here if you are eager to build and ... Continuously optimizing programmatic performance through experimentation and quantitative analysis.
Algorithmic Execution Quant information
What does an algorithmic execution quant do?
An Algorithmic Execution Quant is responsible for designing, developing, and optimizing algorithms that execute large financial trades efficiently and at minimal cost. They analyze market microstructure, create models to predict market impact, and work closely with traders and engineers to implement these strategies in real-time trading systems. Their work is essential in minimizing transaction costs and improving trade execution quality for their firm.
What are some common challenges faced by algorithmic execution quants when developing and deploying trading algorithms?
Algorithmic Execution Quants often encounter challenges such as adapting strategies to rapidly changing market conditions, managing latency and slippage, and ensuring compliance with regulatory requirements. They must also balance the need for innovation with the necessity for robust risk controls and system reliability. Collaboration with traders, developers, and risk managers is essential to refine algorithms and ensure they perform optimally in live trading environments.
What are the key skills and qualifications needed to thrive as an algorithmic execution quant, and why are they important?
To thrive as an Algorithmic Execution Quant, you need a strong background in quantitative analysis, programming (often in Python or C++), and a solid understanding of financial markets, typically supported by an advanced degree in a quantitative discipline. Proficiency with statistical modeling tools, trading platforms, and market data systems, as well as familiarity with technologies like FIX protocol, is crucial. Strong problem-solving ability, attention to detail, and effective communication help you collaborate across trading, research, and technology teams. These skills are essential for designing, optimizing, and maintaining robust trading algorithms that achieve best execution and mitigate risk in fast-moving markets.
What is the difference between Algorithmic Execution Quant vs Quantitative Trader?
| Aspect | Algorithmic Execution Quant | Quantitative Trader |
|---|---|---|
| Primary Focus | Developing and implementing algorithms for trade execution to minimize market impact | Creating trading strategies to generate alpha and profit from market movements |
| Work Environment | Quantitative research teams, trading desks, technology-driven | Trading floors, portfolio management teams, research departments |
| Required Skills | Programming, market microstructure, execution algorithms | Quantitative modeling, market analysis, strategy development |
While both roles involve quantitative skills, an Algorithmic Execution Quant specializes in optimizing trade execution processes, whereas a Quantitative Trader focuses on developing strategies to generate profits. The roles often collaborate but serve different functions within trading firms.
What are popular job titles related to Algorithmic Execution Quant jobs in Kansas?
For Algorithmic Execution Quant jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Algorithmic Execution Quant jobs in Kansas look for?
The top searched job categories for Algorithmic Execution Quant jobs in Kansas are:
Senior Software Engineer, Creatives
On-site
StackAdapt
$105K - $138K/yr
Full-time
Posted 14 days ago
Job description
About the Team:
The Programmatic Bidding team powers our Adtech platform by processing billions of ad auctions every day at millisecond latency. Our Bidding team designs, and builds scalable microservices that span every core aspect of the Adtech pipeline-including pacing, machine learning, bid price optimization, user-profile enrichment, and more. The StackAdapt bidding platform supports hundreds of thousands of advertisers, delivering real-time, intelligent and performant bidding decisions ensuring that every bid is both efficient, and strategically aligned with our customer's business goals. We empower our customers with the best performance driven platform for them to drive the best business decisions, and ROI.
The ideal candidates we're looking for must have proven experience in Adtech, exceptional analytical thinking, and superior execution skills. You'll thrive here if you are eager to build and experiment with new technologies and approaches, and can back your ideas with rigorous analysis and data-driven, pragmatic approaches.
What You'll Be Doing:- Lead and collaborate with a team of engineers to design, implement, and optimize our programmatic bidding systems.
- Apply analytical, data-driven, and statistical methodologies to problem solving. Continuously optimizing programmatic performance through experimentation and quantitative analysis.
- Collaborate with ML engineers to architect and to build complex, innovative solutions that pushes the boundaries of programmatic advertising capabilities, and drive impactful business results.
- Rigorously optimize large-scale distributed systems capable of handling billions of requests per second with ms-level latency, ensuring high throughput and infrastructure performance under demanding workloads.
- Partner with Product teams to ship innovative features that advance the company's vision, and drive competitive advantage.
- Embody the team mission. Be adaptable, and ground development efforts in pragmatic, results-oriented decision making.
- Foster operational excellence across engineering and backend teams by cultivating a culture of trust, transparency and technical excellence
- Clearly articulate development ideas and hypotheses, openly embrace technical feedback to support collaborative innovation and continuous improvement.
What You'll Bring to the Table:
- 3+ years of experience in AdTech or MarTech, ideally working on high-scale or performance-critical systems.
- Advanced programming expertise in Go (or strong proficiency in comparable languages such as C++, Java, Scala, or Rust). We value engineers who can deliver high-performance applications regardless of language.
- Experience applying machine learning, mathematics, and numerical methods-including deploying large-scale models and real-time inference systems in production. (This is an applied engineering role, not research-focused.)
- 5+ years of experience in software development, particularly building high-throughput, low-latency distributed systems and architecting scalable microservices or data pipelines in a fast-growing tech environment.
- Hands-on experience with multiple database systems, with a solid grasp of their trade-offs and performance considerations.
- Strong foundation in computer science fundamentals, including data structures and algorithms.
- Up-to-date knowledge of modern technologies, tools, and frameworks, with curiosity to continuously learn and evolve.
- Bonus: Interest or experience in computational graphics, GPU programming, game development, game theory, or financial trading systems.