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.
The Strategy & Operations team’s mission is to define an integrated business strategy and drive its execution in support of the Chief Investment Officers (CIOs) and broader modeling organization by working closely with partners from across the organization, all while utilizing a strong sense of accountability and ‘business first’ mindset. We’re focused on helping Two Sigma deliver best-in-class, scientifically-driven investing and explore new high-potential business lines that harness the firm’s research, data, compute and technology capabilities.
In this role, you will join a cross-functional team and make important contributions across a diverse array of projects. You will be expected to utilize a broad skill set in business strategy, finance, data science, engineering, ownership and influence in order to define and execute on strategic growth. We are a highly collaborative team - you will have significant potential for learning, internal visibility, and impact.
You will take on the following responsibilities:
- Strategy Setting. Identify business priorities, requirements and dependencies together with modeling, engineering and product leads, merging a bottoms-up view of business opportunities with a top-down perspective on Two Sigma’s strategic arcs and industry positioning. Integrate business-level activities into firm-wide strategic plans. E.g., authoring vision/mission of a specific business, linking that vision/mission to TS’s strategic arcs, specifying how that vision/mission translates into a series of cross-functional activities (short and long-term) with well-defined, annual KPIs
- Operational Implementation. Translate strategic objectives into actionable operating plans and drive execution in coordination with cross-functional teams, supporting resource allocation decisions as needed. E.g., communicating objectives and progress to senior leadership, setting and tracking business KPIs, collaborating with partners throughout the firm to specify product requirements and driving projects to completion, organizing/running team all hands/events.
- Business Execution. Work closely with modeling and engineering partners to ensure key strategic objectives are implemented with excellence, communicated effectively to all relevant stakeholders and in doing so advance that business’s broader strategy/goals. Facilitate connectivity/progress by connecting the dots when needed across business initiatives with a broad array of stakeholders. E.g., identifying that a machine-learning (ML) modeling effort can leverage a novel research approach previously developed by another team
- New Businesses and Capabilities. Identify, research, design and build critical new capabilities within Two Sigma’s research business. Partner with research and engineering leaders to spearhead development by pitching firm leadership on strategic rationale, establishing a clear business case and operating plan, framing design requirements, determining resourcing and profitability, and building from the ground-up with full accountability. E.g., working closely with modeling to specify the opportunity to extend research activities into a new space, outlining the strategic rationale, opportunity size, execution roadmap, KPIs, kill points, resources required, etc.
You should possess the following qualifications:
- An undergraduate degree in computer science, data science, engineering, finance, mathematics, or related fields. A graduate degree is a plus;
- 3 to 10 years’ work experience, including time within the fields of banking, consulting, technology, engineering or investment management;
- Excellent analytical and conceptual problem-solving skills with the ability to use quantitative and qualitative approaches to develop actionable recommendations;
- Strong written and verbal communication skills with experience creating meeting and presentation materials;
- Familiarity with common data analysis tools such as Python, SQL, Claude, Tableau (e.g., ability to extract company-level data, develop reporting dashboards, etc.) and Google Workspace. Additional technical skills are a plus;
- Deep intellectual curiosity; and
- Eagerness to contribute in a fast-paced, outcome-oriented environment and a proactive approach to problem-solving with strong sense of personal accountability
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 $150,000 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.