Associate - Asset Backed Finance (Data)
Mumbai Nesco IT Park Tower, India
Position Overview
ABOUT APOLLO
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 PURPOSE AND CORE VALUES
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.
OUR BENEFITS
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 seeks a Quantitative Developer for its India Mumbai office within its Quantitative Development team. The Quantitative Development team maintains proprietary mortgage investment risk models used for financial reporting, risk measurement, pricing and strategic business decisions. The candidate will report jointly to the Woodland Hills Consumer & Residential Quantitative Analytics team as well as the Indian Quantitative Analytics Team in support of the mortgage effort. Candidate will support trading and portfolio management team in daily tasks associated with mortgage trading and are expected to provide support until Noon NY time. Strong performers will have the opportunity to advance into larger responsibilities on the quantitative analytics team.
RESPONSIBILITIES:
Improve upon current database through streamlining, consolidation and organization of several terabytes of historical data across numerous products, including
Consumer performance data
Mortgage performance data
Trade logs
Historical industry datasets
Track and examine daily servicer data for large portfolio of mortgage loans
Monitor performance of investments through generation of reports for portfolio management, team, including
Creation of performance dashboards and GUIs
Maintenance of existing and new data
Clean, reconcile and format existing and new data for consumption into models and performance outputs
Track performance against agreed upon trade stipulations and generate reports for breaches
Maintain data, research and assumptions on historical model runs in newly defined database
Performing ad-hoc requests for data analysis, queries, etc, as needed by portfolio management and trading team
Automating 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 language, 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, capital markets
Detail oriented
Strong communication skills, both written and verbal
Ability to work in a fast-paced environment, under pressure and deliver on time
3-5 Yrs hands on work experience in data modelling, database management or as a DBA
Have 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. 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data analysis Econometrics Excel Finance Machine Learning Mathematics Physics Python Research Security SQL Statistics
Perks/benefits: Career development Equity / stock options
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