AVP Quant R&D Architect for Risk & Trading Models

Growth Equity Interview Guide; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Blackstone is seeking an AVP, Quantitative Research and Development to build and implement models for equity and fixed income products and to work on quantitative platforms supporting risk, portfolio, and trading data. You will collaborate with Quantitative Analysts, Portfolio Managers, and Risk teams on model development and deployment.

The role requires 5+ years in a quantitative field, a PhD or MS in a quantitative discipline, strong Python, and SQL/KDB experience, plus forecasting and

Qualifications

• 5+ years of experience in a quantitative role, ideally from a large bank or hedge fund.
• PhD or MS in a quantitative discipline is preferred.
• Strong proficiency in Python and experience with databases like SQL or KDB.
• Solid forecasting and statistical modeling skills.
• Ability to work with diverse data sources.
• Capable of managing multiple projects in a fast-paced environment.
• Excellent communication skills, both written and verbal.

Responsibilities

• Build and implement models for various Equity and Fixed Income products.
• Collaborate with Quantitative Analysts, Portfolio Managers, and Risk teams.
• Work on quantitative platforms focused on risk, portfolio, and trading data models.
• Engage in projects that enhance efficiency and transparency within the firm.

Skills

Python

Forecasting

Statistical modeling

Data sources

Multi-project management

Communication

Education

PhD or MS in a quantitative discipline

Tools

SQL

KDB

Job description

Blackstone is seeking an AVP, Quantitative Research and Development to build and implement models for equity and fixed income products and to work on quantitative platforms supporting risk, portfolio, and trading data. You will collaborate with Quantitative Analysts, Portfolio Managers, and Risk teams on model development and deployment.

The role requires 5+ years in a quantitative field, a PhD or MS in a quantitative discipline, strong Python, and SQL/KDB experience, plus forecasting and