Quantitative Researcher: Machine Learning
Two Sigma · New York, United States
- On site
- Full-time
- $247,500 / year
- New York, United States
Job highlights
- Develop sophisticated trading models using scientific methods.
- Apply machine learning to vast datasets.
- Create and test complex investment ideas.
- Collaborate with engineers on hypothesis testing.
- Stay updated via reading circles and seminars.
About the role
Quantitative Researcher Machine Learning
Two Sigma is a leading quantitative investment management and trading firm. The company applies a scientific approach to investing, combining cutting-edge technology, artificial intelligence, data science, and quantitative research with rigorous human inquiry to capitalize on market opportunities and deliver alpha for investors.
Our team of engineers, quantitative researchers and data scientists looks beyond the traditional to test hypotheses and develop creative solutions to some of the world’s most complex economic problems.
We are looking for a quantitative researcher with an excellent background in statistical techniques, machine learning, and data analysis. In this role, you will navigate the full research process and apply a rigorous scientific approach to design sophisticated investment models for trading a variety of global markets.
Responsibilities
- Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave
- Apply machine learning to a vast array of datasets
- Create and test complex investment ideas and partner with our engineers to test your hypotheses
- Join our reading circles to stay up to date on the latest research papers in your field
- Attend academic seminars to learn from thought leaders from top universities
- Share insights from conferences focused on statistics, machine learning, and data science
Qualifications
- Degree in a technical or quantitative discipline, like statistics, mathematics, physics, electrical engineering, or computer science (all levels welcome, from bachelor’s to doctorate)
- Intermediate skills in at least one programming language (like C, C++, Java, or Python)
- Understanding of the ins and outs of machine learning algorithms—and can tweak them as needed
- Experience with applied machine learning to real-world datasets
- Published your work in journals and/or have presented at conferences
Benefits and Perks
- Core Benefits: Fully paid medical and dental insurance premiums for employees and dependents, competitive 401k match, employer-paid life & disability insurance
- Perks: Onsite gyms with laundry service, wellness activities, casual dress, snacks, game rooms
- Learning: Tuition reimbursement, conference and training sponsorship
- Time Off: Generous vacation and unlimited sick days, competitive paid caregiver leaves
- Hybrid Work Policy: Flexible in-office days with budget for home office setup
The base pay for this role will be between $165,000 and $325,000. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.
Two Sigma is committed to providing reasonable accommodations to qualified individuals in accordance with applicable federal, state, and local laws. If you believe you need an accommodation, please visit our website for additional information.
Key skills/competency
- Quantitative Researcher
- Machine Learning
- Data Analysis
- Statistical Techniques
- Investment Models
- Trading Strategies
- Python
- C++
- Algorithm Development
- Financial Markets
Skills & topics
- Quantitative Researcher
- Machine Learning
- Data Science
- Quantitative Finance
- Investment Management
- Algorithmic Trading
- Statistical Modeling
- Python
- C++
- Financial Markets
- AI
- Research
- Data Analysis
- Algorithm Development
- Two Sigma
How to get hired
- Tailor your resume: Highlight quantitative skills, machine learning expertise, and programming languages relevant to Two Sigma's Quantitative Researcher role.
- Showcase your work: Emphasize published research, conference presentations, and real-world machine learning applications.
- Prepare for technical interviews: Brush up on statistical techniques, machine learning algorithms, and data analysis. Practice coding in C++, Java, or Python.
- Understand Two Sigma's approach: Research their scientific methods, AI focus, and quantitative trading strategies to align your answers.
- Demonstrate problem-solving: Be ready to discuss how you approach complex economic and market problems.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific machine learning algorithms are most relevant for a Quantitative Researcher at Two Sigma?
- While Two Sigma utilizes a broad range of machine learning techniques, a strong understanding of algorithms like regression, classification, clustering, deep learning, and reinforcement learning is highly beneficial. Experience with model tuning and applying these to real-world datasets is crucial for the Quantitative Researcher role.
- What is the typical career path for a Quantitative Researcher at Two Sigma?
- Quantitative Researchers at Two Sigma often start by developing and testing investment models. With experience, they can progress to leading research initiatives, mentoring junior researchers, and specializing in specific market areas or quantitative techniques.
- Does Two Sigma prefer candidates with advanced degrees for their Quantitative Researcher positions?
- Two Sigma welcomes candidates with degrees at all levels, from Bachelor's to Doctorate, in technical or quantitative disciplines. While advanced degrees are common and valued, strong practical experience and a proven track record in machine learning and data analysis are equally important.
- How does Two Sigma's hybrid work policy affect the Quantitative Researcher role?
- The hybrid work policy at Two Sigma offers flexibility, allowing for a blend of in-office and remote work. This means Quantitative Researchers can benefit from in-person collaboration while also having support for setting up an effective home office. Specific in-office days will be coordinated with your team.
- What kind of programming languages are most commonly used by Quantitative Researchers at Two Sigma?
- Two Sigma Quantitative Researchers should have intermediate skills in at least one programming language. Python is widely used for its extensive libraries in data science and machine learning. However, proficiency in C++, Java, or other systems programming languages is also highly valued, especially for performance-critical applications.
- How important is it for a Quantitative Researcher candidate to have published work or presented at conferences?
- Having published work in journals or presented at academic or industry conferences is a significant advantage for a Quantitative Researcher candidate. It demonstrates a commitment to the field, an ability to conduct rigorous research, and a capacity to communicate complex findings effectively, aligning with Two Sigma's emphasis on scientific inquiry.
- What are Two Sigma's expectations for a Quantitative Researcher's understanding of financial markets?
- While a deep finance background isn't always a prerequisite, a Quantitative Researcher at Two Sigma must be adept at applying statistical techniques and machine learning to financial data. An eagerness to learn about market dynamics and an understanding of how to model them are essential for success in designing sophisticated trading models.