Quantitative Researcher (Equities Focus)

Aleto; Chicago (IL); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Remote flexibility

Team outings

Learning opportunities

Diversity of thought

Job summary

Aleto in Chicago is seeking a junior Quantitative Researcher to join our research team and help build our systematic US equity strategy. You will apply statistical analysis to data, design features, and backtest ideas, contributing directly to investment decisions.

Ideal candidate has 0–2 years in US equities, a PhD or MS in a quantitative field, strong Python or C++, and SQL experience. You’ll work independently and with the team in a fast-moving environment.

Qualifications

• 0–2 years of experience in US equities.
• Ph.D. or M.S. in a quantitative field required.
• Proficiency in Python or C++, plus SQL.

Responsibilities

• Discover alphas in US equity markets using statistical analysis and backtesting.
• Participate in data analysis, alpha discovery, ML modelling, and portfolio attribution.
• Develop research infrastructure and tooling for data processing and idea generation.
• Evaluate new datasets for alpha potential and study current research literature.
• Collaborate with quant team members to advance research outputs.

Skills

Python

C++

SQL

Data analysis

Education

PhD or MS in mathematics, statistics, physics, computer science, operations research, finance, economics, or another quantitative discipline

Job description

About the company

At Aleto, we’re building a bespoke asset management platform designed specifically for the RIA community-and we’re just getting started. Our team is grounded in humility, fueled by determination, and driven by a deep sense of curiosity. We value self-starters who are optimistic, intellectually hungry, and excited to solve complex problems alongside a collaborative, high-performing team. If you’re looking to grow with a firm and passionate about what you do, we’d love to meet you.

About the role

Our research team is looking for a junior Quantitative Researcher to work on our systematic US equity strategy buildout. This is a highly selective role with access to abundant research resources and the opportunity to directly drive our investment decisions.

Responsibilities

• Discover alphas in US equity markets by applying rigorous statistical analysis to market, fundamental and alternative datasets — performing hypothesis testing, feature design, and backtesting to improve on alpha ideas
• Be involved in all aspects of the research process: data analysis, alpha discovery, Machine Learning modelling, portfolio construction, risk management, and portfolio attribution analysis
• Work with other quant team members to develop research infrastructure, including tools for data processing and frameworks for research idea generation
• Evaluate new datasets for alpha potential
• Follow, digest, and build upon the latest academic research

Required qualifications & skills

• 0–2 years of experience in US equities; medium-frequency alpha research experience is a plus; l/s portfolio construction experience is a plus
• Ph.D. or M.S. in mathematics, statistics, physics, computer science, operations research, finance, economics, or another quantitative discipline
• Programming in Python or C++; experience with SQL
• Hands-on and self-sufficient — comfortable building your own tooling and infrastructure in a small, fast-moving team
• Demonstrated ability to learn and apply new methodologies
• Able to work both independently and collaboratively within a team
• Strong desire to deliver high-quality results in a timely fashion
• Detail-oriented, and willing to take ownership of your work

At Aleto, we foster a culture of exceptionalism, positivity, and diversity of thought. We value collaboration, creativity, and having fun while doing meaningful work. Team outings, learning opportunities, remote flexibility, and a supportive environment are just a few things you can expect.

We offer a competitive salary based on experience and qualifications.

Aleto is proud to be an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. We do not tolerate discrimination of any kind and hire based on skills, experience, and potential.