Develops and administers compensation programs, leads year-end compensation processes, supports budgeting and benchmarking, and provides analytical guidance to HR and business leaders. Partners with Recruiting, Finance, Legal, Engineering, and other stakeholders on compensation strategy, offer packages, market analysis, and cross-functional HR initiatives. The role requires strong analytical, communication, project management, and relationship management skills.
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 highly data-driven, analytical and diligent individual to join our Compensation team. This person will be working within a small team to help provide strategic and impactful insights into our compensation design and structure. Candidates should be a strong problem solver with critical thinking abilities, possess positive relationship management skills, have the ability to manage and prioritize multiple tasks, and takes a collaborative approach to team engagement. If you are passionate about joining a fast-paced, dynamic team, we'd love to meet you!
You will take on the following responsibilities:
You should possess the following qualifications:
You will enjoy the following benefits:
The base pay for this role will be between $165,000 and $250,000. 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.
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 highly data-driven, analytical and diligent individual to join our Compensation team. This person will be working within a small team to help provide strategic and impactful insights into our compensation design and structure. Candidates should be a strong problem solver with critical thinking abilities, possess positive relationship management skills, have the ability to manage and prioritize multiple tasks, and takes a collaborative approach to team engagement. If you are passionate about joining a fast-paced, dynamic team, we'd love to meet you!
You will take on the following responsibilities:
- In this role you will partner with internal stakeholders to align on the firm's pay and rewards framework with its overarching business goals, financial constraints, and talent retention needs
- Providing compensation support to the HR and business leadership teams including, and not limited to, comp program design, administration, reporting, planning, firmwide budgeting and specific analyses.
- Leading the year-end compensation process from start to end across multiple business areas.
- Project managing important cross-functional strategic compensation and HR projects.
- Working with key partners across HR, Engineering, and Finance to implement key strategic decisions, as well as facilitating compensation design decisions.
- Supporting the market compensation survey and benchmarking processes, analyzing results, and using findings to drive innovations in our compensation plans.
- Partnering with the Recruiting team to develop competitive new hire offer packages.
- Providing analytical assistance to Business Leaders on compensation related matters.
- Partnering with FP&A, Accounting, Legal, Investor Relations, and other corporate functions on ongoing initiatives and strategic projects.
You should possess the following qualifications:
- Minimum 7 years of work experience required; preferred 6-10 years in a compensation related role, executive compensation and/or CEO / board level presentation experience required.
- Financial Services industry compensation experience strongly preferred; Technology industry experience is a plus
- BS/BA degree with a strong academic record
- Exceptional attention to detail
- Excellent written and verbal communication skills
- Experience with carried interest plans preferred
- Advanced MS Excel is a must
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 $250,000. 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.
Two Sigma New York, New York, USA Office
Two Sigma New York Office (HQ) Office
Our NYC headquarters is located in the vibrant SoHo neighborhood and offers a collaborative, welcoming environment that's been thoughtfully designed around creating a great workspace for our people.
Similar Jobs at Two Sigma
Fintech • Software • Financial Services
Design, develop, and maintain simulation orchestration, quantitative research, financial analytics, and experiment management software. Build scalable distributed systems, testing frameworks, visualization tools, and performance-monitoring solutions. Modernize software infrastructure supporting data-driven trading decisions, debug complex systems, analyze bottlenecks, and improve accuracy, computational performance, reliability, and cost efficiency.
Top Skills:
JavaLinux/UnixPythonRelational DatabasesSQL
Fintech • Software • Financial Services
Monitor systematic trading strategies and identify portfolio and operational risks. Investigate anomalies, coordinate root-cause resolution with trading, modeling, and engineering teams, and perform statistical analysis of strategy behavior. Build Python-based analytical tools, dashboards, alerts, automated workflows, and reporting systems. Maintain data profiling platforms, test code, troubleshoot Linux-based processes, document risk procedures, and communicate findings to investment and investor-facing stakeholders.
Top Skills:
LinuxNumpyPandasPython
Fintech • Software • Financial Services
Develop and evaluate quantitative equity investment models and trading signals using statistical and machine learning techniques. Engineer features from large financial datasets, conduct empirical and cross-sectional research, and build scalable Python research pipelines using distributed computing and cloud infrastructure. Evaluate signal quality and portfolio performance through backtesting, risk analysis, attribution, and transaction-cost modeling. Collaborate with portfolio managers, domain experts, and engineers to implement investment ideas in production systems.
Top Skills:
Cloud ComputingDistributed ComputingMachine LearningPythonVersion Control
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
