Quantitative Analyst

Partners Group; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading global financial institution in Singapore is seeking a quantitative analyst to join their investment risk management team. The role involves developing quantitative models, performing scenario analysis, and preparing management presentations. A university degree in a quantitative field is required alongside skills in Python and SQL. The firm offers a collaborative work environment and opportunities for professional growth, including regular mentorship.

Benefits

Professional, international working environment

One-month sabbatical after five years of service

Fun team events and community volunteer opportunities

Qualifications

• University degree with an emphasis on Quantitative Finance, Engineering, or a similar background.
• Prior experience in quantitative areas of public or private markets is an advantage.
• Excellent oral and written communication skills in English are essential.

Responsibilities

• Develop proprietary private markets quantitative models and systems.
• Perform scenario analysis of private markets data.
• Prepare submissions and presentations for management and committees.

Skills

Python programming

SQL

Quantitative analysis

Excel

Education

University degree in Quantitative Finance or Engineering

Job description

What it's about

Join Portfolio Solutions at Partners Group. We are the leading portfolio management & quantitative group within private markets, operating across all asset classes. We design and actively manage USD 50bn Evergreens, USD 65bn segregated mandates and 55bn of flagships funds.

The Quantitative & Risk Management business unit is responsible for investment and portfolio risk management activities of Partners Group. The group also contributes to integrated business building activities in relation to tasks of quantitative nature.

We are looking to add a professional to our team in Singapore. You will be part of the investment risk management team and have the following responsibilities:

• Development of proprietary private markets quantitative models and systems (python based)
• Perform regular and ad-hoc scenario analysis of private markets data (python, SQL and Excel)
• Preparation of submissions and presentations for firm-wide management and committees
• Operation and enhancement of firm-wide private markets models and systems.
• Reporting and analysis for internal and external stakeholders

What we expect

• University degree, with emphasis on Quantitative Finance, Engineering or similar quantitative background
• Prior experience in quantitative areas of public or private markets is considered an advantage
• Prior experience in computer programming (Python/SQL) and Excel is considered an advantage
• Ability to generate original ideas and develop new models or processes based on them
• Passion for numbers and quantitative analysis
• Strong quality, excellence and ability to work error-free
• Interest in the international financial industry’s mechanisms
• Excellent oral and written communication skills (English)
• Professional qualification (e.g. CFA, FRM) desirable but not a requirement

What we offer

Partners Group is a global financial institution that retains the culture, pace and agility of a start-up. As a growing firm, we are committed to attracting, developing and retaining the very best talent, by offering a workplace where results are truly recognized and rewarded.

• Professional, international working environment
• Challenging, rewarding career within a growing company
• Collaborative environment, with on-the-job training and mentorship opportunities
• One-month sabbatical after every five years of service
• Fun office and team events, including volunteer opportunities to connect with and help our local communities

www.partnersgroup.com

Please be aware, fraudsters may pose as Partners Group recruiters. All genuine representatives can be identified by a verified sign on their LinkedIn profiles. If you suspect fraud or have doubts, contact us immediately at [e-mail]