Quantitative Developer

2 weeks ago

London, Greater London, United Kingdom Blackstone Full time

Blackstone Technology & Innovations (BXTI) is at the heart of Blackstone's operations, driving innovation and efficiency across all business units. We develop cutting-edge systems that manage risk, optimize performance, and enhance transparency for our investors and portfolio companies.

As a leading global alternative asset manager, Blackstone manages over $1 trillion in assets across various sectors, including private equity, real estate, public debt and equity, infrastructure, and more. BXTI plays a crucial role in supporting these diverse investment strategies through advanced technology solutions.

Role: Senior Quantitative Developer - Fixed Income

We are seeking a talented Senior Quantitative Developer to join our quantitative modeling team focused on fixed income products. You will be responsible for developing and implementing sophisticated models across various asset classes, including Real Estate, Asset Backed Securities, and Credit.

Responsibilities:
  • Build and implement quantitative models for risk management, portfolio optimization, trading strategies, and other data-driven applications within the fixed income domain.
  • Collaborate with Quantitative Analysts, Portfolio Managers, and Risk teams to understand business requirements and translate them into robust mathematical models.
  • Conduct thorough analysis of financial data, identify trends, and develop predictive models to support investment decisions.
  • Stay abreast of industry best practices and emerging technologies in quantitative finance.
Qualifications:
  • PhD or MS in a quantitative discipline (e.g., Mathematics, Statistics, Financial Engineering).
  • Proven experience with fixed income securities and financial modeling techniques.
  • Strong proficiency in Python and familiarity with various databases (SQL, KDB, etc.).
  • Excellent forecasting and statistical modeling skills.
  • Ability to effectively work with large datasets and combine diverse data sources.
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.

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