Position Overview
Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact to expand opportunities and achieve positive outcomes.
The Investment Engineering team is responsible for developing Portfolio Management and Trading capabilities that support Apollo’s complex and unique trading strategies. The team is closely embedded with portfolio managers, traders, and partners cross-functionally to enable the successful design and execution of critical infrastructure. This team is hiring a Head of Credit Engineering for its New York trading technology team, to lead the build-out of the next generation of credit trading strategies. This position will play a crucial role in guiding and coordinating the team’s efforts to deliver high-quality software solutions to the trading desk and will be responsible for managing a team of developers and engineers and will report to the head of Investment Engineering.
As the Head of Credit Engineering, you will lead the design, development, and deployment of quantitative, modeling, and credit infrastructure systems that enable underwriting, monitoring, and valuation across the credit platform. You will act as the technical anchor between investment, risk, portfolio, and operations teams, driving automation, analytics, and scalable engineering in support of credit decisions and portfolio management.
Primary Responsibilities:
Set technical vision and roadmap for credit analytics, underwriting, portfolio stress testing, scenario simulation, and monitoring systems.
Lead, mentor, and grow a team of credit quants, data engineers, software engineers, and model validators.
Oversee the development of cash flow/default/recovery models, scenario engines, and sensitivity analyses.
Build and maintain data pipelines (ETL), integration with external sources (financial data, market data, third-party vendor inputs).
Architect and scale systems for post-investment monitoring: covenant tracking, early-warning alerts, breach analytics, migrations, etc.
Ensure system reliability, performance, maintainability, security, and auditability.
Validate/benchmark/monitor internal and external models; ensure robust governance.
Collaborate with credit/underwriting teams to translate business requirements into technical specs.
Provide analytics/insights for portfolio teams: stress loss attribution, exposure/concentration metrics, scenario breakdowns.
Present technology & model strategies to senior leadership, investment committees, and possibly investors.
Oversee cross-functional integration: legal, compliance, operations, accounting, risk.
Drive innovation: evaluate and integrate machine learning / AI / alternative data / advanced analytics where appropriate.
Build and maintain relationships with senior executives to develop a clear understanding of business needs; ensure delivery of the credit engineering organization to meet needs and respond with agility to changing business priorities.
Work with business sponsors, develop business case justifications and cost/benefit analyses for credit engineering spending and initiatives. Coordinate and facilitate consultation with stakeholders to define business and systems requirements for technology implementations.
Attract, retain, and develop top talent. Build pipeline of talent within enterprise solutions technology including own succession options. Upskill the team on critical capabilities.
Accelerate the development of high potential individuals by providing timely constructive feedback and mentorship.
Encourage collaboration and engagement while continually upskilling the investment engineering organization.
Ensure the culture is highly collaborative, inclusive, and accountable.
Qualifications & Experience
This individual must have high IQ and EQ and be viewed as an effective business partner by their respective business peers and across the Apollo leadership team.
Strong technical prowess and the ability to flex between strategic and hands-on and be in the details with regards to technical acumen and depth.
An “offense minded” leader; not focused purely on utility delivery and strong ability to balance playing offence with playing “defense.” A forward-thinking change agent with a track record of leveraging emerging technology to improve workflow and drive the business forward.
Experience managing a function with multiple interdependencies within a complex global organization.
A high level of market sophistication and broad knowledge in private and public markets investing.
Bachelor’s degree required in relevant field (engineering, computer science, etc.). Master’s degree preferred.
15+ years of experience (or equivalent senior technical leadership) in credit modeling, credit risk, structured finance, or quantitative engineering.
Strong programming skills (Python, SQL, and at least one compiled language or well-engineered stack).
Experience in data engineering, large-scale systems, distributed computing, pipeline design, APIs.
Deep domain knowledge of credit, default/recovery modeling, scenario analysis, cash flow modeling, term structure, structural modeling.
Experience in structured finance (e.g., ABS, CLO, SBLC, securitization) or alternative credit is a strong plus.
Excellent communication skills; ability to present complex technical concepts to non-technical senior stakeholders.
Familiarity with governance, validation, regulatory requirements related to credit modeling is desirable.
Strong project management and delivery skills in ambiguous, fast-moving environments.
Lead a team of full-stack developers, providing guidance, support, and mentorship to ensure the successful delivery of software to the desk.
Usher software builds through requirements gathering, design, hands-on development, testing, and production deployment.
Strong hands-on software experience in developing and a proven track record of delivering full-stack cloud-based applications.
Demonstrated ability to build and deploy microservices in a scalable high throughput workflow.
Experience with messaging systems across applications stack (e.g., Kafka).
Experience with both server-side development (e.g., Python, Node.js) and JavaScript/TypeScript front-end development (e.g., Angular, React, Vue).
Comfortable working in an agile software delivery environment with Git and with exposure to CI/CD tools (e.g., Docker, Jenkins, GitLab).
Passion for clean, maintainable code and always looking to improve engineering skills in fast-paced, ambiguous environments
Lead by example, fostering a collaborative and inclusive team environment, promoting knowledge sharing and encouraging professional growth and development.
Pay Range
$300,000 - $350,000Apollo Global Management, Inc. (together with its subsidiaries and affiliates) is committed to championing opportunity.
The firm and its affiliates comply with applicable discrimination and equal opportunities legislation in all of its jurisdictions and do not discriminate in employment or recruitment based on race, color, religion, gender, national origin, veteran status, disability, age, citizenship, marital or domestic/civil partnership status, sexual orientation, gender identity or expression or any other protected characteristic under applicable law.
The contents of the qualifications and experience section of this job description are a guideline only. If an applicant can otherwise demonstrate their suitability for the role they will be considered.
The base salary range for this position is listed above. This position is also eligible for a discretionary annual bonus based on personal, team, and Firm performance. Compensation ranges are based on several factors including job function, level, and geographic location. Final offer amounts are determined by multiple factors including candidate experience and expertise, and may vary from the amounts listed here.