Analyst (Junior/Intern) - Investments (Quant)

About GenInnov

GenInnov Pte. Ltd. is a Singapore-based, MAS-licensed (Capital Markets Services Licence, restricted fund management) investment manager running a long-only, global listed-equity strategy. The fund invests in structural innovation themes — semiconductors, AI infrastructure, robotics, and next-generation technology — without derivatives or leverage, and with permanently unhedged currency exposure. The team is small and multi-hatted, giving team members direct, hands-on exposure across the full fund lifecycle rather than siloed, narrow tasks.

Role Overview

As Quant Analyst, you will combine rigorous quantitative research with a deep understanding of company fundamentals to sharpen how the fund finds and monitors its ideas. Working closely with the Chief Portfolio Manager, Investment Manager, and the wider investment team, you will build the screens, models, and analytics that turn thematic conviction into disciplined, repeatable process — while scanning global markets for comparable companies and thematic read-throughs that support the fund's investment universe. Individual initiative and close collaboration with the team are both encouraged as you develop a sharper read on market behavior.

How You Will Make An Impact

• Design, build, and maintain quantitative stock screens and factor models across the fund's investment universe (semiconductors, AI infrastructure, robotics, next-generation technology)

• Develop and maintain backtesting frameworks to rigorously test thematic and factor-based investment hypotheses

• Build and automate portfolio analytics, including exposure, concentration, correlation, and factor/performance attribution

• Screen global equity markets to surface new investment ideas and comparable companies

• Maintain and enhance the internal data infrastructure and models (Excel, Python, VBA) the investment team relies on daily

• Monitor portfolio risk metrics and contribute to periodic risk reporting

• Work closely with the investment team to translate fundamental views into quantifiable, monitorable signals

• Communicate relevant data, market developments, and model behavior to the team clearly and concisely

• Be willing to challenge existing methodologies and assumptions to continuously improve the fund's quantitative process

• Support performance attribution and ad hoc quantitative analysis as needed

• Participate in testing and user acceptance testing(UAT) for enhancements to internal systems and workflows

What You Bring To The Team

• A Bachelor's or Master's degree in Quantitative Finance, Statistics, Mathematics, Engineering, Computer Science, or a related quantitative field

• 1–3 years of relevant experience in quantitative research, portfolio analytics, or equity research; strong recent graduates with demonstrable quantitative project work will also be considered

• Singapore Citizen or Singapore Permanent Resident

• Advanced quantitative, analytical, and problem-solving skills, with the ability to apply them under time pressure

• A genuine curiosity for analyzing large data sets, grounded in a solid understanding of statistics and probability

• Strong programming skills in Python and/or VBA; familiarity with SQL is a plus

• Solid grounding in financial econometrics and factor-based investing concepts

• Advanced Excel skills, with comfort building and maintaining complex models

• Familiarity with financial data terminals (e.g. Bloomberg, Refinitiv) is a plus but not required

• Clear, structured writing and communication skills for documenting methodologies and findings

• A self-directed mindset, comfortable working closely within a small, hands-on investment team

• Prior exposure to equity markets — particularly the semiconductor/technology sectors — is a plus

What You’ll Gain

• Direct, hands-on exposure to a live global equity portfolio built around the innovation and technology ecosystem

• The opportunity to build quantitative research infrastructure from the ground up within a lean, fast-moving team

• Close mentorship from the Chief Portfolio Manager and Investment Manager

• Broad exposure across the full fund lifecycle —research, risk, and operations — rather than a narrow, siloed mandate

• A collaborative, high-performance culture that values initiative, integrity, and intellectual curiosity