Quantitative Researcher - Execution Modeling

Two Sigma; New York (NY); Híbrido; USD 165.000 - 300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical & dental insurance

401k match

Life & disability insurance

Onsite gym

Descripción de la vacante

Two Sigma in New York seeks a quantitative researcher for the Execution Modeling team. You will reduce execution costs and increase capacity by researching market microstructure and deploying models into production, collaborating with modeling, portfolio management, and trading groups.

This hands-on role covers experimentation, developing signals from order book data, and building market impact models across horizons. Strong coding in Python/Java/C++ is expected.

Formación

• Formal training in statistics, applied mathematics, OR economics, physics, engineering, or CS.
• PhD is a plus, not required.
• 5–15 years in execution research, algo trading, or HF trading at a financial firm.
• Deep market microstructure knowledge: venues, queue dynamics, order types.

Responsabilidades

• Optimize order scheduling and interaction with tactics and portfolio optimizers.
• Improve execution simulator and alignment with production results (fill probability, adverse selection, post-trade impact).
• Research short-horizon signals from order book, quote, and trade data to improve tactics and venue selection.
• Build and improve market impact models across horizons and liquidity profiles.
• Design and analyze production experiments (A/B tests) and execution metrics.
• Leverage large historic order/fill data to find execution alpha signals.
• Collaborate with modeling, portfolio management, and trading teams on joint research.

Conocimientos

Quantitative analysis

Python

C++

Java

Machine learning

Data analysis

Linux

Educación

PhD preferred

Herramientas

Python

Java

C++

SQL

Descripción del empleo

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 seeking a self‑motivated individual to join the Execution Modeling team. The team researches and builds the tactics, models, and all market interactions that drive how we trade across Global Equities and Global Macro. We are seeking a quantitative researcher to reduce execution costs and increase capacity through market microstructure research impacting trading algorithms, market impact models, interaction with portfolio construction, simulation, and scheduling. You will partner closely with experts across modeling, portfolio management, and trading to take research into production. This is a hands‑on research role with the opportunity to shape the direction of execution research across regions and asset classes.

You Will Take On The Following Responsibilities

• Optimize how orders are scheduled and how that schedule interacts with the tactics underneath it and with portfolio optimizers
• Improve our execution simulator and its agreement with production results, including fill probability, adverse selection, and post‑trade impact
• Research and develop short‑horizon signals from order book, quote, and trade data to improve trading tactics, order placement, and venue selection
• Build and improve market impact models across trading horizons, from seconds to multiple days, and across instruments with very different liquidity profiles
• Design and analyze production experiments (A/B tests) and execution performance metrics that separate real improvements from market noise
• Use our large internal history of orders and fills to find new sources of execution alpha
• Build relationships with other teams supporting investment and research processes, and work closely with multiple teams on joint research

You Should Possess Multiple Of The Following Qualifications

• Excellent quantitative skills, as evidenced by formal training in statistics, applied mathematics, operations research, economics, computer science, physics, engineering, or a related quantitative field. A PhD is a plus but not required.
• 5-15 years of experience in execution research, algorithmic trading, market‑making, or high‑frequency trading at a financial firm.
• Deep understanding of market microstructure, including order types, venues, dark pools, queue dynamics, and how different market participants behave
• Hands‑on experience with market impact modeling, transaction cost analysis, or execution simulation
• Expertise with large datasets of intraday market data (quotes, trades, order book). Experience with full order‑by‑order (L3) data is a significant plus.
• Experience applying machine learning techniques to trading, execution, or modeling problems
• Strong programming skills (Python, Java, or C++), data management and retrieval skills, and literacy with Linux and LLM support
• Effective communication skills, both written and verbal
• Ability to own research end‑to‑end, from data gathering through hypothesis testing to production deployment and monitoring, in a fast‑paced, team‑oriented environment

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 $300,000. 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.