Associate, Quantitative Strategist

Apollo•New York, NY

5d•$175,000 - $200,000•Hybrid

About The Position

Apollo's Hybrid team manages approximately $100 billion in assets under management, covering both public and private assets across the capital structure. The team utilizes a research-intensive investment process, from screening public bonds and leveraged loans against quantitative return targets to originating private transactions and complex structured deals. This role is crucial for shaping and executing Hybrid’s AI and technology strategy, aiming to transform business operations, opportunity sourcing, investment underwriting, portfolio management, and stakeholder engagement. The position will act as a liaison between the Hybrid investment teams and Apollo’s Global Investment Insights (GII) Quant Team, ensuring AI initiatives are practical, impactful, and integrated into daily workflows. The AI Lead will foster engagement across the Hybrid platform, identify and prioritize use cases, develop and pilot new tools, evaluate third-party vendors, and provide leadership with regular updates on progress and impact. The ideal candidate will be entrepreneurial, highly collaborative, and passionate about leveraging AI to create a sustainable competitive advantage. This is not a direct investing role but focuses on enhancing the Hybrid business through AI and technology enablement to improve investment decision-making. An immediate or near-term start date is strongly preferred.

Requirements

Bachelor’s degree with a strong record of academic achievement; advanced degree a plus.
3+ years of experience in quantitative finance, data engineering, or applied AI/ML in an investment context
Experience with financial data APIs (Bloomberg, ICE, Refinitiv) and structured/unstructured data pipelines
Familiarity with credit markets — leveraged loans, high yield bonds, or structured credit — sufficient to understand the investment workflow including sourcing, diligence, underwriting and portfolio management and ability to build relevant tools
Experience with credit analysis workflows: capital structure modeling, comparable company analysis, scenario analysis
Experience building and deploying LLM-based applications (prompt engineering, RAG, agent frameworks such as LangChain or similar)
Familiarity with vector databases, fine-tuning workflows, or evaluation frameworks for LLM outputs
Ability to work directly with investment professionals to translate qualitative use cases into working quantitative tools
High attention to detail and strong communication skills — outputs will be used in live investment decisions

Nice To Haves

Prior experience in an investment bank, hedge fund, credit fund, or similar environment
Exposure to deal workflow systems (DealCloud or equivalent) and portfolio management platforms
Strong Python skills

Responsibilities

Drive the development and execution of Hybrid’s AI roadmap in close partnership with Hybrid leadership, the Hybrid research/investment team and Apollo Global Investment Insight Quant Team.
Act as a transformational agent across the Hybrid platform, identifying high-impact AI use cases across sourcing, diligence, underwriting, portfolio management, reporting and internal operations.
Encourage adoption and engagement across investment teams by conducting teach-ins, training sessions, workshops and targeted working sessions to embed AI tools into day-to-day workflows.
Partner with Apollo engineering and data teams to scope, prioritize, design, test and deploy new AI-enabled tools and enhancements tailored to Apollo Hybrid’s team needs.
Evaluate and pilot external AI vendors and service providers, including conducting structured testing, cost-benefit analysis, security/compliance coordination and performance assessments.
Develop proof-of-concepts and practical prototypes to demonstrate value and accelerate buy-in from stakeholders.
Serve as a liaison between Hybrid investment professionals, Apollo Global Investment Insight Quant Team and technology teams to translate business needs into technical requirements and ensure solutions are practical and scalable.
Coordinate across Apollo functions (legal, compliance, risk, information security, finance, human capital) to ensure AI initiatives are implemented in alignment with firm-wide standards and governance.
Stay current on developments in AI, machine learning and emerging technologies, bringing relevant insights and opportunities to the Apollo Hybrid platform.
Key areas of focus include: investment research automation, screening / portfolio monitoring tools and investment team workflow / process automation.