Lead Technical Recruiter

Coda Search│Staffing; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

Quant Trading Fund in New York, NY is seeking a Lead/Director Technology Recruiter to own the end-to-end talent strategy for quantitative researchers, ML engineers, software engineers, and traders. You will drive sourcing, interviewing, and closing of critical roles in a data-driven trading environment.

The ideal candidate brings 9+ years in talent acquisition, proven executive search experience, and a track record of leading global sourcing in a matrixed organization.

Qualifications

• Bachelor’s degree or equivalent with 9+ years in talent acquisition.
• Proven track record in sourcing hard-to-fill technologist roles.
• Strong understanding of quantitative finance and AI tools.
• Excellent communication and stakeholder management.
• Experience with executive search is preferred.

Responsibilities

• Source and interview candidates for quant researchers, ML engineers, software engineers, traders.
• Lead recruitment efforts for hard-to-fill roles in quantitative finance.
• Advise executive leadership on recruitment strategies and workforce planning.
• Oversee onboarding processes and new hire documentation.
• Develop and implement talent strategies to attract top talent.

Skills

Executive recruiting

Talent acquisition

Sourcing strategies

Stakeholder management

Interviewing

Education

Bachelor's degree

Tools

LinkedIn Recruiter

ATS / HRIS

Job description

Our client is premier Quant Trading Fund based in NYC currently seeking a Lead/Director Technology Recruiter, addition to staff.

Ideal candidate must bring a proven track record of successfully owning the technical talent/recruiting process, with a keen eye for sourcing and securing hard to find Technologist /Quants/Engineers and Trading professionals for a data driven (AI and Machine Learning experience strongly preferred) Quant Trading platform

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Responsibiliti es

• Source and interview candidates for assigned searches (Quantitative Researchers, Machine Learning Engineers, Software Engineers, Traders, and Business Operations
• Lead recruitment efforts for "hard to fill" roles in quantitative finance, equity trading, and AI/technologists
• Deep understanding of sourcing tools, technologies, and best practices.
• Serve as the Subject Matter Expert (SME) for technical talent acquisition, advising executive leadership on recruitment strategies, workforce planning, and talent pipeline development.
• Develop a talent acquisition strategy to attract, select, and close top talent
• Partnered with head of business to define role requirements and create compelling job descriptions
• Oversee all aspects of employee on-boarding process from background checks to orientation, including preparation of new hire packages and documents in preparation for on-boarding process.
• Implement changes that enable Technology to drive key growth initiatives
• Proven experience leading global sourcing and/or executive recruiting functions in a complex, matrixed organization
• Develop and implement innovative strategies to attract and engage prospects with a focus on strategic recruiting

Qualifications

• Bachelor’s degree from an accredited college or university; a minimum 9+ years related human resources professional experience and/or training; or equivalent combination of education and experience.
• Minimum 7 years experience in talent acquisition or sourcing preferred including executive search.
• Familiarity with executive search, full cycle recruitment, internal mobility, and workforce planning.
• Strong communication, coaching, and stakeholder management skills.
• Effective oral and written communication skills and ability to listen effectively.
• Intermediate to advanced skills in Microsoft Outlook, Word, Excel, Power Point.
• Ability to manage priorities and workflow.
• Versatility, flexibility, and a willingness to work within constantly changing priorities with enthus
• Proven track record in technical talent acquisition
• Expertise in sourcing hard-to-find candidates
• Strong understanding of quantitative finance and AI technologies