Quantitative Strategist

3 weeks ago

Gurgaon, Haryana, India Crisil Limited Full time

Role Overview

Crisil Limited seeks an experienced Asset Management & Analytics professional to lead our asset management and advanced analytics efforts. The successful candidate will be responsible for developing cutting-edge quantitative models and methods for investment decision-making, portfolio optimization, and risk management.

Key Responsibilities

  • Oversee the development of quantitative models and methods for investment decision-making, portfolio optimization, and risk management.
  • Champion the use of AI/ML, data science, and advanced analytics to enhance investment processes and generate alpha.
  • Develop bespoke advanced analytics solutions and factor-based models for clients covering asset allocations, portfolio optimization, and strategy.
  • Develop capabilities to identify predictive signals from multiple datasets to enhance performance and decision-making.
  • Develop tools to implement investment strategies and optimize asset allocation.
  • Integrate quantitative strategies supported by AI/ML techniques into algorithmic trading platforms.
  • Build custom stress testing and scenario analysis capabilities, covering liquidity, market downturns, and climate risks.
  • Validate the performance and calibration of vendor models such as MSCI Barra, Bloomberg PORT, FactSet, and Blackrock Aladdin.
  • Establish clear governance over the use and approval of vendor models, ensuring adherence to UCITS and AIFMD guidelines.
  • Implement data analytics platforms and quant modeling infrastructure to enable ongoing monitoring of exposure, volatility, and performance at varying levels of granularity and dimensions.

Requirements

  • MBA/MS/Ph.D. in a quantitative discipline (math, statistics, computer science, engineering, finance).
  • Exceptional leadership and decision-making skills, with the ability to create compelling propositions for clients.
  • Excellent understanding of asset allocation, portfolio investment strategies, and risk management.
  • Experience in a quantitative environment supporting investment management across asset classes.
  • Expertise in designing and developing solutions related to multiple asset classes, risk & pricing models, and risk systems.
  • Experience in quantitative research and portfolio optimization.
  • Expertise in statistical inference, time series forecasting, and machine learning.
  • Familiarity with models and tools such as Aladdin, Barra One, Barra GEM3L, Barra US4L, Bloomberg PORT, Yield book, Encorr, Zephyr, Morningstar Direct, FactSet, WealthTec, Evestment, RiskSpan, etc.
  • Strong understanding of model development, monitoring, and validation processes.
  • Strong understanding of Model Risk Management concepts and Stress Testing process.
  • Expertise in Industry Guidelines and Regulations such as UCITS and AIFMD.
  • Strong communication and interpersonal skills.
  • Ability to manage multiple stakeholders and liaise effectively across different levels of the organization.
  • Proficiency in project management software and tools including Python, R, etc.

Educational Qualification

MBA/MS/Ph.D. in a quantitative discipline (math, statistics, computer science, engineering, finance).

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