Associate, Asset-Backed Finance Data

About Apollo Global Management

Apollo is a high-growth, global alternative asset manager focused on providing clients excess return across yield, hybrid, and equity investing strategies. With over three decades of expertise, Apollo's integrated platform serves client financial return needs and provides innovative capital solutions for business growth. Through Athene, their retirement services business, they help clients achieve financial security via retirement savings products and institutional solutions. Apollo's patient, creative, and knowledgeable investment approach aligns clients, businesses, employees, and communities to expand opportunity and achieve positive outcomes.

Our Purpose and Core Values

Apollo's clients rely on their investment acumen to secure their future, driving the firm's determination to be the best investors and most trusted partners. They strive to be a leading provider of retirement income solutions, capital solutions to companies – delivering capital for even the largest projects with a thoughtful, dedicated partnership approach – and a leading contributor to addressing global issues like energy transition, technology adoption, and social impact through innovative investing. Apollo builds a unique firm of extraordinary colleagues who:

• Outperform expectations
• Challenge Convention
• Champion Opportunity
• Lead responsibly
• Drive collaboration

As One Apollo team, they believe in the synergy of great work and enjoyment, taking pride in collective achievements.

Our Benefits

Apollo values its people as integral to its leadership in alternative investment management. The firm's benefit programs are designed to offer meaningful coverage for both employees and their families. For detailed information on specific benefits, employees are encouraged to reach out to their Human Capital Business Partner.

Position Overview

Apollo is seeking an Associate, Asset-Backed Finance Data for its Mumbai, India office, within its Quantitative Development team. This team is responsible for maintaining proprietary mortgage investment risk models essential for financial reporting, risk measurement, pricing, and strategic business decisions. The successful candidate will report jointly to the Woodland Hills Consumer & Residential Quantitative Analytics team and the Indian Quantitative Analytics Team, supporting the mortgage effort. Daily support for the trading and portfolio management teams is expected until Noon NY time. Strong performers will be given opportunities to advance into greater responsibilities within the quantitative analytics team.

Responsibilities

• Improve existing database by streamlining, consolidating, and organizing several terabytes of historical data across numerous products, including consumer and mortgage performance data, trade logs, and historical industry datasets.
• Track and examine daily servicer data for a large portfolio of mortgage loans.
• Monitor investment performance through report generation for portfolio management, including the creation of performance dashboards and GUIs.
• Maintain existing and new data, ensuring it is cleaned, reconciled, and formatted for consumption into models and performance outputs.
• Track performance against agreed upon trade stipulations and generate reports for any breaches.
• Maintain data, research, and assumptions on historical model runs in a newly defined database.
• Perform ad-hoc requests for data analysis, queries, etc., as needed by the portfolio management and trading team.
• Automate reporting and monitoring processes for existing transactions.

Qualifications & Experience

• Minimum Bachelor’s degree, ideally an advanced degree, in a Quantitative background (statistics, machine learning, quantitative finance, financial mathematics, econometrics, physics, mathematics, database management).
• Experience working with data processing languages; Python is preferred.
• Experience working with basic data analysis tools such as SQL, Excel, etc.
• Experience working with basic programming languages (C++ and C# preferred).
• Knowledge of finance and capital markets.
• Detail oriented with strong communication skills, both written and verbal.
• Ability to work in a fast-paced environment, under pressure, and deliver on time.
• 3-5 years of hands-on work experience in data modeling, database management, or as a DBA.
• Experience in building data exploratory tools.

Apollo provides equal employment opportunities regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, 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. All job offers are conditional upon satisfactory reference and background screening checks, necessary corporate and regulatory approvals, and entering into definitive contractual documentation satisfactory to Apollo.

Key skills/competency

• SQL
• Python
• C++
• C#
• Data Modeling
• Database Management
• Financial Reporting
• Risk Measurement
• Capital Markets
• Mortgage Analytics
• Performance Monitoring