2 days ago

Researcher

DRW

On Site
Full Time
₪600,000
Tel Aviv-Yafo, Tel Aviv District, Israel

Job Overview

Job TitleResearcher
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary₪600,000
LocationTel Aviv-Yafo, Tel Aviv District, Israel

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Job Description

About DRW

DRW is a technology-driven, diversified principal trading firm. We trade our own capital at our own risk, across a broad range of asset classes, instruments and strategies, in financial markets around the world. As the markets have evolved over the past 25 years, so has DRW – maximizing opportunities to include real estate, cryptoassets and venture capital. With over 1,000 employees at our Chicago headquarters and offices around the world, we work together to solve complex problems, challenge consensus and deliver meaningful results. It’s a place of high expectations, deep curiosity and thoughtful collaboration.

DRW is looking for highly skilled Ph.D. level Researchers for an Algorithmic Trading Research Group in Tel Aviv. The DRW office is located at the TLV expo center, right next to TLV University train station and offers highly competitive compensation packages. Our formula for success is to hire exceptional people, encourage their ideas and reward their results with competitive compensation packages.

Researchers at DRW apply tools from a variety of disciplines including statistics, control theory, machine learning, optimization, and signal processing to develop algorithmic trading strategies. Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches. Researchers have access to clean data integrated with a high-performance computing grid and the support of dedicated software developers.

Job Description

  • Develop algorithmic trading strategies and improve existing strategies
  • Identify inefficiencies in the financial markets and characterize them with mathematical models
  • Predict price movements using statistics, signal processing and machine learning
  • Apply optimization techniques to construct optimal portfolios
  • Design automated trading agents that achieve efficient execution
  • Direct software developers in the translation of the research into production software

Requirements

  • A Ph.D. with a focus on machine learning, signal processing, optimization, control or statistics
  • An interest in financial markets
  • Experience in handling large data sets using languages such as Python, R, MATLAB, or C++
  • Significant hands-on experience with formulating a research problem, conducting the research and developing a working system
  • Excellent communication skills
  • Prior experience in finance is not necessary; finance-specific training will be provided

Key skills/competency

  • Algorithmic Trading
  • Machine Learning
  • Signal Processing
  • Optimization
  • Statistics
  • Control Theory
  • Financial Markets
  • Python
  • C++
  • Data Analysis

Tags:

Researcher
Algorithmic Trading
Strategy Development
Machine Learning
Signal Processing
Optimization
Statistics
Financial Markets
Python
C++
Data Analysis
Quantitative Research
Mathematical Modeling
Automated Trading
High-Performance Computing
R
MATLAB
Control Theory
Portfolio Optimization
Production Software

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How to Get Hired at DRW

  • Research DRW's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor. Understand their technology-driven principal trading approach.
  • Tailor your resume for quantitative research: Highlight your Ph.D. research, statistical modeling, machine learning, and programming skills (Python, C++). Emphasize data handling and problem-solving.
  • Showcase your quantitative expertise: Prepare to discuss your experience in machine learning, signal processing, and optimization. Demonstrate how you formulate and solve complex research problems.
  • Demonstrate genuine interest in financial markets: Even without prior finance experience, express curiosity and a willingness to learn about financial instruments and market dynamics.
  • Prepare for rigorous technical interviews: Expect questions on quantitative methods, algorithmic thinking, and coding challenges relevant to financial data analysis and strategy development.

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