We are seeking a talented individual to join our Investment Managemet team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.
The Portfolio Analyst will be an integral member of Mercer’s Canada Investment Management team (OCIO CIO group), reporting to the Portfolio Strategy Lead. This role will focus on advanced multi-asset portfolio modeling, risk analysis, and ESG analytics, contributing to strategic asset allocation and portfolio research for institutional investors. The analyst will collaborate closely with portfolio managers and cross-functional teams to develop and enhance quantitative models, portfolio attribution techniques, and market insights. Additionally, the role includes mentoring junior team members and driving innovation in portfolio analytics, with a strong emphasis on fixed income, equities, and systematic factors influencing global markets.
We will count on you to:
Modelling of multi asset portfolios using external and internal models
Responsible for risk analysis, fund deep dives, ESG analytics & report generation
Contribute to action-oriented portfolio research using statistical & factor modelling
Develop strategic asset allocation models, risk, and return calibration and portfolio analytics for institutional investors.
Contribute to fund performance analysis and draft fund commentaries
Responsible for producing market summary for broader business with insights on various asset classes across geographies
Conceptualize and develop models for deeper analysis of market environments and trends
Co-ordinate with multiple teams for managing the portfolios effectively
Take a leading role towards development of new techniques of portfolio attribution analysis
Take a lead role in maintaining, improvement and development of internal models
Mentor juniors in the team to think like a portfolio manager
Understanding of macro (fixed income/ rates) and systematic factors affecting a portfolio
What you need to have:
Strong background in portfolio management, construction and advanced econometrics, statistical modelling, and programming skills in Python
Able to research, self-learn and use complex Python libraries required for developing quantitative models.
Multi asset class exposure with experience in attribution analysis
Strong financial instruments knowledge, covering but not limited to fixed income, equities, ETF’s, investment funds, derivatives and market indices.
Excellent analytical and investment skills
Self-motivated with ability to work independently as well as lead the process to achieve targets in timely order.
Self-Development: Able to identify personal knowledge and skill gaps
4-5 years of work experience in a portfolio management / investment strategies team as a quantitative practitioner
Prior experience in fiduciary management, asset management with strong understanding of financial instruments.
What makes you stand out?
BE/B Tech from a top tier college and/or master’s in finance / financial engineering / Econometrics / Quantitative Finance / MBA
Evidence of expertise in statistical tools
3-4 years’ experience in global markets with inclination towards fixed income or equities