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Algorithmic Execution Quant Jobs in Connecticut (NOW HIRING)

Bestex Research

Execution Analyst

Stamford, CT · On-site

Grow into a role that directly influences client outcomes and firm-wide algorithmic execution ... algorithm design Requirements * MS or PhD in a quantitative field such as Computer Science ...

BestEx Research

Execution Analyst

Stamford, CT · On-site

Grow into a role that directly influences client outcomes and firm-wide algorithmic execution ... algorithm design Requirements * MS or PhD in a quantitative field such as Computer Science ...

All JobsAlgorithmic Execution Quant JobsAlgorithmic Execution Quant Jobs in Connecticut

Algorithmic Execution Quant information

What is the difference between Algorithmic Execution Quant vs Quantitative Trader?

AspectAlgorithmic Execution QuantQuantitative Trader
Primary FocusDeveloping and implementing algorithms for trade execution to minimize market impactCreating trading strategies to generate alpha and profit from market movements
Work EnvironmentQuantitative research teams, trading desks, technology-drivenTrading floors, portfolio management teams, research departments
Required SkillsProgramming, market microstructure, execution algorithmsQuantitative 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 jobs pay 2000 a day?

Algorithmic Execution Quants working in finance or trading firms can sometimes earn $2,000 or more per day through high-frequency trading, proprietary trading, or managing large portfolios. These roles typically require advanced quantitative skills, programming expertise, and experience with trading platforms and financial models.

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.

How much do algorithmic quants make?

Algorithmic execution quants typically earn between $100,000 and $200,000 annually at entry-level, with experienced professionals earning over $300,000 including bonuses. Compensation varies based on experience, firm size, location, and performance, and often includes bonuses tied to trading profits and technical skills in programming and quantitative analysis.

Is 40 too old to become an algorithmic execution quant?

Age is not a strict barrier to becoming an algorithmic execution quant, as the role values skills in programming, quantitative analysis, and financial markets. Many professionals transition into quant roles later in their careers by acquiring relevant knowledge through advanced degrees, certifications, or self-study. Success depends on your technical skills, experience, and ability to adapt to a fast-paced, data-driven environment.

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.

Do JP Morgan hire quants?

Yes, JP Morgan hires quantitative analysts and algorithmic execution quants who develop trading algorithms, optimize execution strategies, and analyze market data. These roles typically require strong programming skills, knowledge of financial markets, and experience with quantitative modeling tools. JP Morgan is known for employing quants across its trading and risk management divisions.

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 popular job titles related to Algorithmic Execution Quant jobs in Connecticut? For Algorithmic Execution Quant jobs in Connecticut, the most frequently searched job titles are:
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Algorithmic Execution Quant jobs near you
Senior Execution Consultant

Senior Execution Consultant

BestEx Research

Stamford, CT • On-site

Full-time

Posted 16 days ago

Job description

About BestEx Research
BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides high-performance algorithmic execution services to hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model.
Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities and futures that delivers an entire ecosystem around execution algorithms, including transaction cost analysis (TCA), an algorithm customization tool called Strategy Studio, a trading dashboard, and pre-trade analytics in a single platform. The platform is currently live for U.S., Europe, and Canadian equities and global futures trading.
BestEx Research is disrupting a $100 billion industry by challenging the status quo of stale, black-box solutions from banks and offering next-generation execution algorithms that combine performance improvement with transparency and customization. BestEx Research uses leading-edge technology to support its low-latency, highly scalable research and trading systems, with its backend in C++, research libraries in C++/Python and R, and web-based technologies for delivering its front-end platforms.
BestEx Research's mission is to become the leader in automation and measurement of execution across asset classes globally and significantly reduce transaction costs for our clients.
Description
We are seeking an experienced algorithmic trading consultant who is a skilled analytical storyteller with strong coding skills and statistical background to join our Stamford, CT team as a Senior Execution Consultant. This role plays a critical function in monitoring, evaluating, and optimizing algorithm performance across a diverse client base. This team member will be responsible for monitoring client performance as well as producing meaningful insights and actionable recommendations that drive value for both individual clients and the firm at large.
This role offers significant opportunity for growth, including increased ownership of client relationships, influence on execution strategy, and collaboration across product and business development teams. As a central contributor to performance analysis, this position benefits from direct collaboration with firm leadership and offers a clear contribution to revenue generation.
Responsibilities
  • Understand and document clients' evolving goals, needs, measurement process, and related outcomes
  • Manage the end-to-end process of regular behavior and performance monitoring at the individual customer level and across the client base globally
  • Assess the impact of algorithmic changes for specific clients, as well as in firm-wide applications, with a data-driven, practical statistical approach
  • Produce insightful analysis through rigorous coding, data analysis, and visualization
  • Translate complex performance data into clear, actionable insights and recommendations for clients and internal stakeholders in periodic reviews
  • Design and deliver high-quality presentations that communicate performance results and strategic recommendations
  • Stay abreast of changes to market structure and liquidity conditions, contribute to educating team members and clients where appropriate
  • Serve as a liaison between internal teams and external clients, ensuring alignment and responsiveness to client performance-related inquiries

Requirements
  • MS or PhD in a quantitative field such as Computer Science, Statistics, Engineering, Mathematics, or a related discipline
  • 3-5 years of prior experience in US equity electronic trading performance evaluation
  • 5+ years of experience in answering research questions supported by statistical evidence-going beyond reporting results to generating meaningful insights
  • 5+ years experience in coding for data analysis (e.g., Python, SQL, R) and visualization
  • Proven ability to interpret and present complex data to technical and non-technical audiences in a meaningful story arc-beyond reporting results to actionable insights
  • Understanding of algorithmic execution strategies, parameters, and optimization
  • Deep understanding of US equities market structure and microstructure; global equities, futures helpful
  • Ability to manage multiple priorities in a fast-paced, client-facing environment
  • Extraordinary attention to detail and a structured approach to documentation and process management
  • Willing to work in Stamford, CT in person daily and travel to meetings as needed, globally (current frequency is 2-3 times per month, though this is expected to evolve)
  • A positive, collaborative attitude and drive to take ownership of one's work, explore data to answer open questions, and go above and beyond to deliver on shared goals

Apply