Developer (AI/ML Scientist)
Malvern, PA · On-site
... execution and clear communication. • AI/ML & GenAI Solution Leadership: Lead the design ... Required : • MS or PhD in Computer Science, Machine Learning, or a related quantitative field ...
Developer (AI/ML Scientist)
Malvern, PA · On-site
... execution and clear communication. • AI/ML & GenAI Solution Leadership: Lead the design ... Required : • MS or PhD in Computer Science, Machine Learning, or a related quantitative field ...
Delivery Senior Consultant, Data Engineering and Gen AI Conversion Solutions
Mechanicsburg, PA · On-site
In this role, you will contribute to the design, build, and execution of data engineering and ... quantitative field or equivalent experience * 6+ years of experience programming in Python or R ...
Delivery Senior Consultant, Data Engineering and Gen AI Conversion Solutions
Mechanicsburg, PA · On-site
In this role, you will contribute to the design, build, and execution of data engineering and ... quantitative field or equivalent experience * 6+ years of experience programming in Python or R ...
In this role, you will contribute to the design, build, and execution of data engineering and ... quantitative field or equivalent experience * 3+ years of experience programming in Python or R ...
In this role, you will contribute to the design, build, and execution of data engineering and ... quantitative field or equivalent experience * 3+ years of experience programming in Python or R ...
Delivery Senior Consultant, Data Engineering and Gen AI Conversion Solutions
Mechanicsburg, PA · On-site
In this role, you will contribute to the design, build, and execution of data engineering and ... quantitative field or equivalent experience * 6+ years of experience programming in Python or R ...
Delivery Senior Consultant, Data Engineering and Gen AI Conversion Solutions
Mechanicsburg, PA · On-site
In this role, you will contribute to the design, build, and execution of data engineering and ... quantitative field or equivalent experience * 6+ years of experience programming in Python or R ...
... division, quantitative scientists, in partnership with other subject matter experts, apply ... Accountability predominantly includes the development and execution of statistical analysis and ...
... division, quantitative scientists, in partnership with other subject matter experts, apply ... Accountability predominantly includes the development and execution of statistical analysis and ...
... and execution facilitation, translate insights from RWD sources (e.g., EHR, claims, registries ... A Ph.D. degree in quantitative discipline (e.g., computer science, electrical and computer ...
... and execution facilitation, translate insights from RWD sources (e.g., EHR, claims, registries ... A Ph.D. degree in quantitative discipline (e.g., computer science, electrical and computer ...
... division, quantitative scientists, in partnership with other subject matter experts, apply ... Accountability predominantly includes the development and execution of statistical analysis and ...
New
... division, quantitative scientists, in partnership with other subject matter experts, apply ... Accountability predominantly includes the development and execution of statistical analysis and ...
New
... division, quantitative scientists, in partnership with other subject matter experts, apply ... Accountability predominantly includes the development and execution of statistical analysis and ...
... division, quantitative scientists, in partnership with other subject matter experts, apply ... Accountability predominantly includes the development and execution of statistical analysis and ...
... and execution facilitation, translate insights from RWD sources (e.g., EHR, claims, registries ... A Ph.D. degree in quantitative discipline (e.g., computer science, electrical and computer ...
... and execution facilitation, translate insights from RWD sources (e.g., EHR, claims, registries ... A Ph.D. degree in quantitative discipline (e.g., computer science, electrical and computer ...
Principal Engineer, AI
Philadelphia, PA · On-site
Supported by operating principles of being strategy-led, values-based and disciplined in execution ... Collaborate with data scientists to productionise ML models and forecasting algorithms Your ...
Principal Engineer, AI
Philadelphia, PA · On-site
Supported by operating principles of being strategy-led, values-based and disciplined in execution ... Collaborate with data scientists to productionise ML models and forecasting algorithms Your ...
... execution. The ideal candidate combines strong analytical problem solving skills with practical ... Master's degree in quantitative fields (Computer Science, Data Science, Machine Learning ...
... execution. The ideal candidate combines strong analytical problem solving skills with practical ... Master's degree in quantitative fields (Computer Science, Data Science, Machine Learning ...
... execution. The ideal candidate combines strong analytical problem solving skills with practical ... Education: • Master's degree in quantitative fields (Computer Science, Data Science, Machine ...
... execution. The ideal candidate combines strong analytical problem solving skills with practical ... Education: • Master's degree in quantitative fields (Computer Science, Data Science, Machine ...
... execution. The ideal candidate combines strong analytical problem solving skills with practical ... Education: • Master's degree in quantitative fields (Computer Science, Data Science, Machine ...
New
... execution. The ideal candidate combines strong analytical problem solving skills with practical ... Education: • Master's degree in quantitative fields (Computer Science, Data Science, Machine ...
New
Algorithmic Execution Quant information
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 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 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 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 Pennsylvania?
For Algorithmic Execution Quant jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Algorithmic Execution Quant jobs in Pennsylvania look for?
The top searched job categories for Algorithmic Execution Quant jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Algorithmic Execution Quant jobs?
Cities in Pennsylvania with the most Algorithmic Execution Quant job openings:
Job description
Job Summary:
RIT Solutions, Inc. is seeking a Senior AI/ML Scientist to join their team. In this role, you will help advance AI/ML initiatives by building scalable solutions that improve operational efficiency and reduce enterprise risk, while collaborating with cross-functional partners.
Responsibilities:
• Are you excited to solve real‐world business challenges by advancing Generative AI (GenAI) and modern AI/ML techniques? Do you enjoy bridging applied engineering, experimentation, and clear communication to deliver practical impact? If so, we invite you to join our team.
• As a Senior AI/ML Scientist at Vanguard, you will help advance AI/ML initiatives aligned with our Global Risk & Security (GR&S) organization. You will build scalable, value‐driven solutions that improve operational efficiency and reduce enterprise risk, working closely with cross‐functional partners to drive outcomes through strong technical execution and clear communication.
• AI/ML & GenAI Solution Leadership: Lead the design, development, and evaluation of AI/ML and GenAI solutions, identifying high‐impact opportunities and reviewing in‐development models for quality, robustness, and fitness for purpose.
• Product & Business Partnership: Partner with product leaders and business stakeholders to prioritize AI features, models, and controls; serve as a trusted AI/ML subject‐matter expert to drive measurable business outcomes.
• Model Quality & Governance: Design, implement, and manage model quality processes, including automated evaluation pipelines, human‐in‐the‐loop reviews, monitoring, and documentation aligned with responsible AI practices.
• Technology Evaluation & Adoption: Evaluate emerging technologies and vendor solutions, recommending best practices for responsible and secure adoption of third‐party AI capabilities.
• Cross‐Functional Collaboration: Work closely with business partners, engineers, risk and control teams, and external partners to align on requirements and deliver insights with urgency and clarity.
• Applied Research & Implementation: Translate research and experimentation into production‐ready solutions by exploring Client techniques, algorithms, and architectures applicable to real‐world problems.
• Communication & Knowledge Sharing: Clearly communicate complex technical concepts to both technical and non‐technical audiences; contribute to a culture of learning, reuse, and continuous improvement.
Qualifications:
Required:
• MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
• 3+ years of industry experience delivering AI/ML solutions, including building, scaling, and optimizing training and inference workflows or APIs for deep learning models.
• 5+ years of hands‐on programming experience in Python.
• Demonstrated experience with open‐source and/or commercial large language models (LLMs) and ecosystems (e.g., Hugging Face, LangGraph, or similar platforms).
• Strong understanding of the GenAI landscape, including recent advancements, emerging trends, and principles of responsible and secure AI use.
• Excellent communication and consulting skills, with the ability to influence and explain complex concepts to technical and non‐technical stakeholders.
• Proven experience working in cross‐functional teams and balancing technical trade‐offs with business objectives.
Preferred:
• Experience with PySpark or distributed data processing frameworks is strongly preferred.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.
RIT Solutions, Inc. is seeking a Senior AI/ML Scientist to join their team. In this role, you will help advance AI/ML initiatives by building scalable solutions that improve operational efficiency and reduce enterprise risk, while collaborating with cross-functional partners.
Responsibilities:
• Are you excited to solve real‐world business challenges by advancing Generative AI (GenAI) and modern AI/ML techniques? Do you enjoy bridging applied engineering, experimentation, and clear communication to deliver practical impact? If so, we invite you to join our team.
• As a Senior AI/ML Scientist at Vanguard, you will help advance AI/ML initiatives aligned with our Global Risk & Security (GR&S) organization. You will build scalable, value‐driven solutions that improve operational efficiency and reduce enterprise risk, working closely with cross‐functional partners to drive outcomes through strong technical execution and clear communication.
• AI/ML & GenAI Solution Leadership: Lead the design, development, and evaluation of AI/ML and GenAI solutions, identifying high‐impact opportunities and reviewing in‐development models for quality, robustness, and fitness for purpose.
• Product & Business Partnership: Partner with product leaders and business stakeholders to prioritize AI features, models, and controls; serve as a trusted AI/ML subject‐matter expert to drive measurable business outcomes.
• Model Quality & Governance: Design, implement, and manage model quality processes, including automated evaluation pipelines, human‐in‐the‐loop reviews, monitoring, and documentation aligned with responsible AI practices.
• Technology Evaluation & Adoption: Evaluate emerging technologies and vendor solutions, recommending best practices for responsible and secure adoption of third‐party AI capabilities.
• Cross‐Functional Collaboration: Work closely with business partners, engineers, risk and control teams, and external partners to align on requirements and deliver insights with urgency and clarity.
• Applied Research & Implementation: Translate research and experimentation into production‐ready solutions by exploring Client techniques, algorithms, and architectures applicable to real‐world problems.
• Communication & Knowledge Sharing: Clearly communicate complex technical concepts to both technical and non‐technical audiences; contribute to a culture of learning, reuse, and continuous improvement.
Qualifications:
Required:
• MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
• 3+ years of industry experience delivering AI/ML solutions, including building, scaling, and optimizing training and inference workflows or APIs for deep learning models.
• 5+ years of hands‐on programming experience in Python.
• Demonstrated experience with open‐source and/or commercial large language models (LLMs) and ecosystems (e.g., Hugging Face, LangGraph, or similar platforms).
• Strong understanding of the GenAI landscape, including recent advancements, emerging trends, and principles of responsible and secure AI use.
• Excellent communication and consulting skills, with the ability to influence and explain complex concepts to technical and non‐technical stakeholders.
• Proven experience working in cross‐functional teams and balancing technical trade‐offs with business objectives.
Preferred:
• Experience with PySpark or distributed data processing frameworks is strongly preferred.
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.
About RIT Solutions
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
201 - 500 Employees
Headquarters location
Arlington, VA, US