Director, Quant

Apollo Global Management

Mumbai, Maharashtra, India
Posted on March 25, 2024

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 opportunity and achieve positive outcomes.


Our clients rely on our investment acumen to help secure their future. We must never lose our focus and determination to be the best investors and most trusted partners on their behalf. We strive to be:

The leading provider of retirement income solutions to institutions, companies, and individuals.

The leading provider of capital solutions to companies. Our breadth and scale enable us to deliver capital for even the largest projects – and our small firm mindset ensures we will be a thoughtful and dedicated partner to these organizations. We are committed to helping them build stronger businesses.

A leading contributor to addressing some of the biggest issues facing the world today – such as energy transition, accelerating the adoption of new technologies, and social impact – where innovative approaches to investing can make a positive difference.

We are building a unique firm of extraordinary colleagues who:

Outperform expectations.

Challenge Convention

Champion Opportunity

Lead responsibly.

Drive collaboration

As One Apollo team, we believe that doing great work and having fun go hand in hand, and we are proud of what we can achieve together.


Apollo relies on its people to keep it a leader in alternative investment management, and the firm’s benefit programs are crafted to offer meaningful coverage for both you and your family. Please reach out to your Human Capital Business Partner for more detailed information on specific benefits.


Apollo is seeking a seasoned quantitative analyst with strong business acumen and exceptional technical skills as part of its Global Quantitative Analytics function (referred to as the Quant function hereafter). The Quant function is responsible for the design, development and maintenance of quantitative tools and the production and support of quantitative metrics across the firm and as such is a critical part of the firm’s business strategy.

As part of this team, you will be responsible for designing, developing and/or maintaining a broad range of quantitative libraries spanning risk/valuation models, stress methodologies, optimization tools and machine learning techniques for use across Apollo entities. Key asset classes include Structured Credit (vanilla as well as exotic asset backed securities), Derivatives (rates, credit, equity, FX and commodities), public and private equity, and typical fixed income instruments (with or without embedded options) spanning the whole range of credit assets such as corporate bonds, leveraged loans, emerging market debt, private credit, commercial and residential real estate debt, infrastructure debt, convertible bonds, preferred stock, and government bonds.

You will leverage your product/markets experience and programming skills to develop tools that measure risks appropriately and help optimize risk-versus-reward. You will be responsible for working with the Portfolio Managers to model security risks, forecast expected returns, optimize portfolios, respond to inquiries, and make recommendations that will ultimately influence investment choices and portfolio construction.

You will play an instrumental role in the development of the Global Quant function by partnering closely with the senior leadership team in the Quant Function. You will also be responsible for training and mentoring junior members of the team and take part in operational as well as strategic initiatives of the group.

Your responsibilities will include:

  • Develop robust quantitative risk and stress models with analytical outputs that fully reflect the key risks of each position and meet the risk management objectives of portfolio managers and senior management.
  • Design forecasting models using machine learning techniques to help the portfolio managers evaluate the risk-reward trade-off in their portfolios.
  • Build analytical tools and optimization models to facilitate discussions on portfolio construction.
  • Utilize existing proprietary model libraries for generating portfolio exposures, stress testing, risk metrics and performance attribution.
  • Conduct detailed reviews of existing models and propose solutions to enhance the model output.
  • Partner with Technology teams to develop, enhance, and deliver state-of-the-art risk analytics and models.
  • Clearly and concisely articulate complex ideas to target audiences including portfolio managers, traders and executive management.
  • Build and manage relationships with senior global stakeholders, and with local and regional business leaders, including internal and external parties.
  • Train and mentor junior members of the team.

Qualifications & Experience

QUALIFICATIONS AND EXPERIENCE: (Academic, Professional, Experience)

  • 12+ years of experience as a Quant in a Front Office Pricing team in large Investment Banks or Asset Managers with focus on traded credit products and Asset Backed Securities. A few years of this experience (but not all) could be in a model validation team validating front office models.
  • Deep expertise in credit market dynamics including cash, synthetics, and structured products.
  • Strong understanding of quantitative credit methodologies and traded credit analytics.
  • Strong conceptual and mathematical knowledge of financial engineering, stochastic modeling, simulation techniques, derivatives pricing, and risk analytics.
  • Deep knowledge of statistical models, econometrics, and machine learning techniques.
  • Demonstrated ability to forecast financial returns and risk metrics using machine learning tools.
  • Deep experience in designing risk and valuation models for credit securities, structured products and complex derivatives.
  • Proven expertise in stress testing and scenario analysis to assess risk exposures.
  • Strong programming skills: Python, R, SQL, and Excel (required) and C/C++ (preferred).
  • Bachelor’s degree from an accredited institution is required.
  • Master’s or Doctorate degree in a quantitative discipline such as mathematics, computer science, financial engineering, and econometrics is preferred and may qualify with less work experience.
  • Practical and hands-on experience in financial markets.
  • Strong communication and diplomatic skills are required to guide, influence, and convince others, in particular colleagues in other areas and occasional external customers.
  • Demonstrated ability to work effectively and independently across different businesses and functional areas with thorough attention to detail in a potentially high paced environment.
  • Collaborative, organized, flexible and results driven.
  • Must have strong drive and initiative, be collaborative to effectively liaise with senior stakeholders and colleagues.
  • A forward thinking, creative individual who challenges the status quo and takes initiative to reengineer processes.
  • Strong project management skills
  • Excellent stakeholder management skills, including the ability to resolve conflict and observe confidentiality.
  • Be nimble and flexible to balance multiple tasks simultaneously.
  • The ability to take on a task and “run with it” to conclusion is a critical characteristic of this role.

Apollo provides equal employment opportunities regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion or belief, veteran status, gender/sex or sexual orientation, or any other criterion or circumstance protected by applicable law, ordinance, or regulation. The above criteria are intended to be used as a guide only – candidates who do not meet all the above criteria may still be considered if they are deemed to have relevant experience/ equivalent levels of skill or knowledge to fulfil the requirements of the role. Any job offer will be conditional upon and subject to satisfactory reference and background screening checks, all necessary corporate and regulatory approvals or certifications as required from time to time and entering into definitive contractual documentation satisfactory to Apollo.

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