Equity Volatility - Quant Researcher & Quant Developer

A leading global multi-strategy investment firm is expanding its Singapore platform and is hiring

two quantitative professionals

to support its

equity volatility and systematic trading businesses

. These hires will sit at the intersection of

quant research, trading, and technology

, working closely with Portfolio Managers, Quant Researchers, and Traders in a fast-paced, production-focused environment.

This is a rare opportunity to join a well-resourced, collaborative buy-side platform with direct impact on live trading strategies.

Role 1: Equity Volatility Quantitative Researcher

This role is designed for a

quantitative researcher with strong derivatives expertise

, focused on alpha research, analytics, and tooling for equity volatility trading.

Key Responsibilities

• Partner directly with Portfolio Managers and Analysts to design and enhance

bespoke alpha research and analytics tools

• Build and extend internal analytics for

equity derivatives and delta-one products

• Develop valuation tools, screeners, and research frameworks to improve trade identification and portfolio construction

• Test trading strategies and perform ad-hoc quantitative research using

Python-based workflows

• Support trading and risk management through scenario analysis, relative value frameworks, and basis analytics

• Contribute to the onboarding and integration of

vendor models and datasets

• Maintain high standards of documentation, code quality, testing, and numerical stability

• Identify opportunities to automate manual or inefficient research processes

Background & Skillset

• Master’s or PhD in Mathematics, Statistics, Physics, Engineering, Computational Finance, or a related quantitative discipline

• Strong

Python

development skills; exposure to

C++

is advantageous

• Solid understanding of

listed and OTC equity options

, volatility indices, and derivatives markets

• Experience with statistical modelling, time-series analysis, and regression techniques

• Hands-on exposure to

alpha research, signal generation, or derivative pricing models

preferred

• Comfortable operating in a fast-moving trading environment with minimal supervision

Role 2: Multi-Asset / Equity Vol Trading Software Developer

This position suits a

hands-on software engineer or quant developer

focused on building and scaling

systematic trading infrastructure

for equity volatility or multi-asset strategies.

Key Responsibilities

• Design, build, and maintain a

production-grade equity volatility systematic trading platform

• Partner closely with Quant Researchers and Portfolio Managers to translate ideas into

robust, scalable systems

• Own the full development lifecycle: requirements, architecture, implementation, testing, deployment, and support

• Develop tools for resource scheduling, monitoring, and platform reliability

• Improve system performance across

latency, scalability, and stability

• Contribute to best practices around APIs, data pipelines, tooling, and release management

• Automate operational workflows and reduce manual intervention

• Work collaboratively across technology and investment teams

Background & Skillset

• Degree in Computer Science, Engineering, or a related discipline

• 3–7+ years of professional software development experience; buy-side or trading experience strongly preferred

• Deep expertise in

Python

(and/or Rust);

C++

experience is an advantage

• Strong experience with

relational databases

(e.g. PostgreSQL, Snowflake, ClickHouse)

• Experience working with

real-time and historical market data

• Familiarity with modern engineering stacks is beneficial (e.g. React, AWS, Kafka, Kubernetes, Redis)

• Experience with Agile/SCRUM environments and basic DevOps practices (CI/CD, IaC)

• High attention to detail, strong debugging skills, and clear documentation habits

What Both Roles Have in Common

• Direct exposure to

live trading strategies

• Highly collaborative, low-ego investment culture

• Strong emphasis on

code quality, research rigour, and production impact

• Excellent infrastructure, tooling, and resourcing

• Long-term growth opportunities within a global platform