Sector Data Analyst

New York City, United States

The Role 

We are seeking an exceptionally talented individual to join our Risk team as a Sector Data Analyst.  The Sector Data team works closely with portfolio managers, technologists, and others to incorporate real world data into the investment process.  You will be responsible for processing and analyzing this data and working closely with our investment teams to maximize the alpha generated from your insights.

 

What you’ll do 

  • Use real-world data to address complex investment theses across multiple market sectors.
  • Coordinate with investment and market data teams to find and exploit alpha sources.
  • Push actionable significant insights, forecasts, and inflection points to investment teams.
  • Contribute to all aspects of the data science pipeline, including data ingestion, processing data into researchable views, and generating economically meaningful features and forecasts.
  • Build technology, tools, and processes to handle some of the world’s largest and messiest data in a scalable way.
  • As an early joiner, help build the sector data capability at Schonfeld into a best-in-class function.

 

What you’ll bring

What you need:

  • A bachelor's degree or higher in a quantitative field such as mathematics, data science, computer science, or similar field.
  • Experience in a similar role at a hedge fund, data provider, or other data-oriented role.
  • Strong programming and data analysis skills in a Linux environment, especially in Python and SQL.
  • Strong communication skills and the ability to explain technical concepts to non-technical audiences.
  • A keen, analytical eye with attention to detail.
  • Thoroughness and strong ownership of work streams and end products.
  • A passion for financial markets and data.
  • Experience in a high volume, fast paced work environment.

We’d love if you had:

  • Knowledge of statistical packages.
  • Specialized knowledge of different industries and/or data sources.
  • Experience with Spark.
  • Experience building data pipelines.
  • Experience with large, messy, real-world data.
  • Experience explaining complicated, data-driven insights in an investment context.

 

Who we are  
Schonfeld Strategic Advisors is a global multi-strategy, multi-manager investment platform that harnesses the transformative power of people to perform in all market environments. Our dynamic culture inspires better outcomes for our team, our investors, and our partners. We aim to consistently deliver risk-adjusted returns, with people driving performance.

We specialize in four core strategies: Quantitative Trading, Fundamental Equity, Tactical Trading, and Discretionary Macro & Fixed Income. We capitalize on inefficiencies and opportunities within the markets, drawing from a significant investment in proprietary technology, infrastructure, and risk analytics.

We invest through internal portfolio managers and external partner funds, pursuing alignment among investors, investment professionals, and the firm. Our footprint spans 7 countries and 19 offices.

 

Our Culture
Talent is our strategy. We believe our success is because of our people, so putting our talent above all else is our top priority. We are teamwork-oriented, collaborative, and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning & educational offerings and opportunities to make an impact.

We foster a sense of belonging among all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. Our employees value diversity across identity, thought, people and perspective which serves as the foundation of our culture. As a firm, we are committed to creating a hiring process that is fair, welcoming and supportive.

The base pay for this role is expected to be between $150,000 and $225,000. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications and experience.

 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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Tags: Computer Science Data analysis Data pipelines Linux Mathematics Pipelines Python Spark SQL Statistics

Perks/benefits: Career development Competitive pay Equity Salary bonus

Region: North America
Country: United States
Job stats:  30  10  0

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