Quantitative Developer - Mortgage Analytics (Mumbai)

Athene

Hinoba-an

On-site

PHP 1,322,000 - 2,645,000

Full time

7 days ago
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Job summary

Apollo seeks a Quantitative Developer for its Mumbai office to support its mortgage risk models used in reporting, risk measurement, pricing, and strategic decisions. The role reports to both the Woodland Hills Consumer & Residential team and the Indian Quant team.

You will analyze loan tapes, run models, and provide data-driven insights to traders and portfolio managers, with opportunities to advance to larger analytics roles over time.

Qualifications

  • Bachelor’s degree, ideally an advanced degree, in a quantitative background (statistics, ML, financial math).
  • Experience with data processing language, Python preferred.
  • Experience with SQL, Excel, and data analysis tools.
  • Experience with C++ and C#.
  • Knowledge of finance and capital markets.
  • Detail oriented with strong communication skills.
  • 3–5 years hands-on data modelling, database management, or DBA work.
  • Experience building data exploratory tools.

Responsibilities

  • Analyze and create portfolio loan tapes, verifying data consistency and generating stratifications and analysis.
  • Data Analytics: applying transformations/substitutions to mortgage datasets for model inputs.
  • Perform model runs.
  • Communicate assumptions to traders.
  • Update data tapes as new data becomes available.
  • Maintain data, research and assumptions on historical model runs in the database.
  • Execute ad-hoc data analysis requests for portfolio management and trading teams.
  • Automate reporting and monitoring processes for existing transactions.

Skills

Python
SQL
Excel
C++
C#
Finance knowledge
Data analysis

Education

Bachelor's degree in a quantitative field

Tools

SQL
Python
Excel
Database management

Job description

Apollo seeks a Quantitative Developer for its Mumbai office to support its mortgage risk models used in reporting, risk measurement, pricing, and strategic decisions. The role reports to both the Woodland Hills Consumer & Residential team and the Indian Quant team.

You will analyze loan tapes, run models, and provide data-driven insights to traders and portfolio managers, with opportunities to advance to larger analytics roles over time.

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