Quantitative Data Engineer Jobs in Maryland (NOW HIRING)

Role Summary

The Quantitative Researcher combines advanced AI and quantitative investing techniques to enhance and support our fundamental investment process. Working alongside experienced analysts and portfolio managers, this role will help deliver innovative, data-driven insights that inform better investment decisions. This is an opportunity to be part of a team deeply engaged in pioneering AI research and modern quantitative approaches, collaborating directly with our fundamental research platform on initiatives that help shape the future of the firm's investment strategies.

Responsibilities

Build Strategic Relationships with Stakeholders:

• Develop and maintain strong, consultative relationships with fundamental analysts and portfolio managers (PMs)
• Seek to understand each stakeholder's investment framework, objectives, and decision-making approach
• Serve as a valued partner, identifying opportunities where quantitative techniques, alternative data, and/or AI can add meaningful value to their process

Deliver Research-Backed Insights and Consultation:

• Conduct independent, high-quality research integrating quantitative and AI techniques
• Author clear, insightful research reports that communicate complex findings effectively for both technical and non-technical audiences
• Respond to ad-hoc data requests while also initiating value-add projects independently

Proactive Research & Recommendations:

• Anticipate and identify areas where quantitative analysis could inform or enhance current investment theses
• Push relevant research and portfolio reviews proactively to analysts and PMs, supplementing their ongoing decision-making process
• Present research and recommendations confidently in meetings and formal presentations to the investment team

Facilitate Integration of Quantitative Insights and AI:

• Foster adoption and integration of quantitative techniques into the fundamental investment process
• Work collaboratively across teams (Integrated Equity, Fixed Income, Multi-Asset Research, Data Science, Technology) to deliver solutions when necessary
• Ensure clear communication and successful project delivery between quantitative and fundamental research groups

Success Measures:

• Strength and breadth of relationships with key stakeholders (Analysts, PMs, Investments leadership)
• Demonstrated impact through increased awareness and utilization of data-driven insights by fundamental investors
• Quality, clarity, and influence of published research and presentations
• Measurable contribution to improved investment results

Qualifications

Required:

• B.S. in a quantitative discipline (Computer Science, Applied Mathematics, Statistics, or related field)
• Exceptional analytical and problem-solving skills, blending both quantitative rigor and qualitative judgment
• Advanced proficiency in programming languages (R, Python, and SQL) plus experience applying these to research and modeling in an investment context
• Outstanding written and verbal communication skills, with demonstrated ability to present complex quantitative concepts to diverse audiences
• Strong interpersonal, relationship-building, and collaborative skills; team-oriented with a high degree of professionalism

Preferred:

• M.S. or Ph.D. in a quantitative discipline
• 3+ years of experience applying quantitative and AI methods in an investing or financial setting
• Familiarity with dashboarding tools (e.g., Power BI, Tableau, Shiny / Posit Connect)
• CFA charter/candidate, or commitment to obtaining one
• Experience leveraging LLMs programmatically for research purposes

Desired Personal Attributes:

• Proactive, resourceful, and self-motivated
• Intellectual curiosity, openness to new challenges, and willingness to learn cutting-edge techniques
• Collaborative and team-oriented

FINRA Requirements

FINRA licenses are not required and will not be supported for this role.

Work Flexibility

This role is eligible for hybrid work, with up to one day per week from home.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status.