More information for job seekers

If you’re contemplating the next step in your career and wish to confidentially explore new opportunities in the New York metro area, we encourage you to contact us.  Our client firms range from small start-ups to established firms with global offices.  Industry representation includes AI-driven drug discovery, quantitative finance, semiconductors, and strategy consulting. 

Current openings include but are not limited to:

Machine Learning Researchers - Develop foundational generative AI models for drug discovery or quant finance. PhD with a thesis focused on LLMs or Diffusion Models is strongly preferred, though other areas of research could also be relevant.

Software Engineers - Opportunities in quant finance, drug discovery, and semiconductors across multiple technology stacks and experience levels (senior, staff, manager, director).

Data Scientists - Opportunities to specialize in analytics, machine learning, or data engineering in quant finance or human capital. Candidates should have experience with Python and related numerical libraries and 2+ years of industry experience manipulating and interpreting large data sets. AWS experience is helpful, but not required.

Corporate Development/Investor Relations - Calling all liberal arts and social sciences grads with exemplary academic credentials! If you're interviewing with consulting firms, perhaps you should also consider CorpDev or IR opportunities in finance. Candidates should have GPAs of 3.7 or higher, and a natural inclination toward highly analytical work. Finance experience is not required.

Operations Associates and Principals - Pre- and post-MBA opportunities to join a growing Ops team within a global, technology-driven transportation business. This team works on a variety of projects, from product and business development to rider analytics to marketing. Candidates should be excited about working in a start-up environment where they will gain broad exposure to the business.

Linux Systems Administrators - Opportunities to manage large clusters and custom supercomputers in Quant Finance or Computational Biochemistry. Candidates must have HPC experience, a strong command of Shell and Python scripting, and the breadth to take on networking, storage, filesystems, and cluster management responsibilities.

Job seekers are never charged for exploratory or placement services.