Quantitative Researcher: Machine Learning

Posted 4 Days Ago
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New York, NY, USA
Hybrid
165K-325K Annually
Entry level
Fintech • Software • Financial Services
The Role
Develop sophisticated quantitative trading models using scientific methods, machine learning, statistical techniques, and large datasets. The researcher will create and test investment ideas, collaborate with engineers, follow current academic research, attend seminars and conferences, and share insights in statistics, machine learning, and data science.
Summary Generated by Built In
Position Summary
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.
You will take on the following 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

You should possess the following 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

You will enjoy the following benefits:
  • 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.

Skills Required

  • Degree in a technical or quantitative discipline such as statistics, mathematics, physics, electrical engineering, or computer science
  • Intermediate proficiency in at least one programming language, such as C, C++, Java, or Python
  • Understanding of machine learning algorithms and ability to modify them as needed
  • Experience applying machine learning to real-world datasets
  • Published work in journals or presentations at conferences

Two Sigma Compensation & Benefits Highlights

  • Strong & Reliable Incentives — Compensation packages for technical roles include substantial performance-based bonuses that create notable upside potential. This structure is described as a key reason total pay feels strong, particularly versus mainstream technology roles.
  • Healthcare Strength — Healthcare is described as premium-free for employees and eligible dependents, complemented by life and disability coverage. This comprehensive offering is frequently highlighted alongside positive views of the broader benefits package.
  • Parental & Family Support — Support includes financial assistance for family building, paid leave for caregivers, additional bonding time, and backup or discounted in-home childcare in some locations. These programs are presented as a meaningful part of the overall benefits.

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The Company
HQ: New York, New York
1,700 Employees
Year Founded: 2001

What We Do

Two Sigma is a leading quantitative investment management and trading firm with more than $80 billion in assets under management. 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. Founded in 2001, Two Sigma employs over 1,700 curious minds at its headquarters in New York and in offices around the globe.

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Two Sigma Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our hybrid work policy requires most employees to be in-office a minimum of five days per month. This combines remote flexibility with twice-monthly in-person collaboration weeks, dedicated to brainstorming, team meetings and building connections.

Typical time on-site: Flexible
HQNew York Office (HQ)
Hong Kong Office
Houston Office
London Office
Shanghai Office
Tokyo Office
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