CAMPUS RY26 SING Quantitative Research Intern at DRW

Singapore

DRW Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
UnknownVisa
Finance, TradingIndustries

Requirements

  • Pursuing a Bachelor's, Master’s or PhD in a technical discipline with a focus on Statistics, Optimization, Machine Learning, Artificial Intelligence, Quantitative Finance or related fields, graduating between December 2026 and August 2027
  • Proficiency in Python programming experience using the Python machine learning stack: numpy, pandas, scikit-learn, etc
  • Proficient programming skills with experience exploring large datasets
  • Strong analytical and problem-solving skills including a solid foundation of statistics knowledge
  • Working knowledge of probability theory, stochastic calculus and numerical algorithms such as finite differences, Monte Carlo simulation, etc
  • Excellent written and verbal communication skills to report research results as well as methodologies
  • Some exposure to Natural Language Processing and/or High-Performance Computing (plus)
  • Published in a top tier journal focusing on Natural Language Processing or High-Performance Computing (added bonus)

Responsibilities

  • Create practical solutions to problems presented in the trading environment on either a systematic equity trading desk or a fixed income options desk
  • Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes
  • Formulate and apply mathematical modeling, quantitative methods and machine learning techniques to identify and capture trading opportunities
  • Work closely with traders and researchers to build and refine research infrastructure and tools

Skills

Statistics
Optimization
Machine Learning
Artificial Intelligence
Quantitative Finance
Derivatives Pricing
Statistical Analysis
Mathematical Modeling
Back-testing
Simulation

DRW

Proprietary trading and risk management firm

About DRW

RGM Advisors engages in proprietary trading using its own capital to operate in various financial markets. The firm focuses on developing trading strategies that utilize advanced technology and data analytics to manage risk and pursue high returns. By serving institutional clients such as hedge funds and investment banks, RGM Advisors maintains a flexible business model that allows it to trade its own money, rather than clients' funds. This approach enables better risk management and the ability to generate revenue through trading profits, achieved by employing sophisticated algorithms and market-making strategies. RGM Advisors is distinguished by its global presence and its commitment to attracting top talent, providing them with the tools needed to excel and rewarding exceptional performance.

Chicago, IllinoisHeadquarters
2001Year Founded
M_AND_ACompany Stage
Quantitative Finance, Financial ServicesIndustries
1,001-5,000Employees

Benefits

Daily catered breakfast & lunch
Massages
Social events
Gym subsidy
Flexible work arrangements
Monthly tastings
Game room
On-site yoga classes and meditation
Employee led affinity groups
Mentor/mentee outings
Trivia nights
Educational opportunities
DRW-sponsored sports teams
Poker tournament
Private mother's suite

Risks

Increased competition from algorithmic trading firms may erode DRW's market share.
Cryptocurrency market volatility poses risks to DRW's crypto-assets strategy.
Talent war in tech and finance sectors may impact DRW's ability to retain top talent.

Differentiation

DRW combines technology, research, and risk management for diversified trading opportunities.
They operate using their own capital, allowing quick pivots to capture opportunities.
DRW has expanded into real estate, venture capital, and crypto-assets.

Upsides

Machine learning algorithms enhance predictive accuracy and risk management in trading.
DeFi platforms offer new opportunities for higher returns in crypto-assets.
Quantum computing revolutionizes trading strategies with faster, complex data analysis.

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