Quantitative Engineering Associate (AI/ML)

TL;DR

Quantitative Engineering Associate (AI/ML): Design, develop, and implement quantitative and data-driven models to drive innovation and productivity across the full lifecycle of the investment process with an accent on leveraging sophisticated statistical, mathematical, and programming skills to analyse complex datasets. Focus on delivering quantitative analyses through investment due diligence, translating complex data into comprehensive analyses, and partnering with deal teams and portfolio company management to drive data and AI initiatives for value creation.

Location: Onsite in London, United Kingdom

Company

hirify.global is a leading global investment banking, securities and investment management firm founded in 1869.

What you will do

• Design, develop, and implement quantitative and data-driven models for the investment process.
• Leverage statistical, mathematical, and programming skills to analyse complex datasets and support investment.
• Partner with Deal Teams to define and deliver data-driven origination initiatives.
• Deliver quantitative analyses for investment due diligence, assessing risk and opportunities.
• Collaborate with portfolio company management to drive data and AI initiatives for value creation.
• Partner with GS Engineering to lead development of data-centric tools.
• Stay updated with AI/ML developments to improve divisional capabilities.

Requirements

• PhD or equivalent in a quantitative field (Mathematics, Computer Science, Physics).
• 2+ years of relevant experience applying quantitative methods to commercial problems.
• Strong programming skills in Python and SQL.
• Experience using basic data science libraries (e.g., pandas, scikit-learn).
• High-level proficiency in mathematics, statistics, and data science theory.
• Proven experience implementing sophisticated data science techniques and handling large datasets.

Culture & Benefits

• Commitment to fostering diversity and inclusion.
• Opportunities for professional and personal growth through training and firmwide networks.
• Benefits, wellness, and personal finance offerings, including mindfulness programs.
• Commitment to finding reasonable accommodations for candidates with special needs or disabilities.
• Offer best-in-class benefits.