Buy-Side Equity Analyst

Mercor; Singapore; Hybrid; SGD 60,000 - 80,000; Part time

Job summary

A cutting-edge research lab in Singapore is seeking a Buy-Side Equity Analyst to contribute to investment analysis and AI data labeling initiatives. This role offers the chance to build valuation models and collaborate with data scientists, making it ideal for those transitioning into finance or AI. The position promotes hands-on experience in a flexible schedule environment while shaping the future of alpha generation.

Benefits

Flexible remote schedule

Hands-on investment banking experience

Direct learning from experienced professionals

Qualifications

• 2+ years of experience in equity research, investment analysis, or financial modeling preferred.
• Familiarity with data labeling, AI/ML workflows.

Responsibilities

• Conduct fundamental company and sector research.
• Build and maintain DCF, comps, and operating models.
• Curate and label financial datasets.
• Prepare investment memos and pitch materials.
• Support integration of AI insights into models.

Skills

Equity research experience

Proficiency in Excel

Valuation techniques

Analytical skills

Communication skills

Education

Background in Finance, Economics, Engineering, or STEM

CFA or progress toward it

Tools

Bloomberg

FactSet

Python

SQL

Job description

Mercor is hiring on behalf of a frontier AI research lab operating at the intersection of machine learning, finance, and data labeling. The Lab’s mission is to harness AI to analyze markets, model company fundamentals, and generate alpha-driven insights. It brings together a multidisciplinary team of engineers, investors, and data scientists building systems that learn from both financial data and human expertise.

The Role

We’re seeking a Buy‑Side Equity Analyst to contribute to both fundamental company research and AI data labeling initiatives. You’ll perform investment analysis, build valuation models, and collaborate with data scientists to label and structure datasets that train AI models used in investment research. This is a hands‑on opportunity to gain exposure to investment banking‑style modeling, AI research, and real‑world portfolio thinking — ideal for students, analysts, or career switchers looking to build hybrid expertise.

Responsibilities

• Conduct fundamental company and sector research, with a focus on AI, software, and emerging technology.
• Build and maintain DCF, comps, and operating models to assess valuation and growth potential.
• Work with AI researchers to curate and label financial datasets — ensuring data quality, accuracy, and analytical relevance.
• Assist in preparing investment memos and pitch materials for internal and client presentations.
• Support the integration of AI insights into portfolio and valuation models.

Qualifications

• 2+ years of experience in equity research, investment analysis, or financial modeling preferred.
• Strong proficiency in Excel, Bloomberg/FactSet, and valuation techniques.
• Familiarity with data labeling, AI/ML workflows, or Python/SQL is a plus.
• Excellent analytical and communication skills.
• Background in Finance, Economics, Engineering, or STEM; CFA or progress toward it preferred.

Why Join

• Gain hands‑on investment banking experience while contributing to an AI‑powered research lab.
• Work 20‑30 hours/week — ideal for early‑career professionals, or those exploring a transition into finance or AI.
• Learn directly from experienced bankers, investors, and AI researchers.
• Collaborate with a global, fast‑moving team at the intersection of finance and frontier technology.
• Shape how AI and human insight combine to redefine alpha generation.
• You will have a flexible remote schedule.