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Data Scientist - Systematic Data Platform

Data Scientist - Systematic Data Platform
New York, US
175,000 - 225,000
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Job Description

The Role 

We are seeking a talented Data Scientist to join the Data Science team. The team is responsible for establishing best practices in the data pipeline as well as building large-scale data analytics and modeling for systematic strategies.

What you’ll do 

The Data Scientist will collaborate closely with portfolio managers, data engineering, and operations teams to develop data cleaning and transformation processes, curate datasets, extract features, and generate signals using statistical and machine learning techniques for large-scale datasets. As a Data Scientist, you will acquire domain expertise for a wide range of financial datasets and conduct EDA to discover patterns, trends, and insights. Additionally, you will contribute to expanding a scalable data science environment that facilitates systematic data research through data and analytics sharing, modeling, dashboard visualization, and backtesting. An ideal candidate will not only have passion for data science but also possess practical experience in data science or quantitative research preferably in financial industry.

What you’ll bring

What you need:

  • Advanced knowledge of Python, SQL, or other programming languages
  • Experience working with large scale data analytics and their applications
  • Experience with quantitative analysis using statistical packages
  • Knowledge of developing quality metrics for structured and unstructured data in ETL/ELT pipeline
  • Deep understanding of feature engineering, model training, evaluation, and deployment
  • Work closely with investment teams to comprehend their strategy requirements, construct research-ready datasets, and develop analytics on the central platform
  • Excellent communication skills, both verbal and written
  • Degree in a quantitative field such as computer science, data science and financial engineering

We’d love if you had:

  • Experience with data mining and machine learning for financial datasets
  • Exposure to distributed compute platforms such as Spark, Flink and Dask
  • Experience with any of the following technologies: Kafka, Docker, Airflow, Athena, Redis
  • Experience with backtesting
  • Knowledge of financial asset classes such as equity, futures, and fixed Income.
  • Analytical or research experience within financial industry
  • Experience with working in the cloud (AWS)

Our culture

The firm’s ethos is embedded in our people. ‘Talent is our strategy’ is our mantra and drives how we approach all initiatives at the firm. We believe our success is because of our people, so putting our talent above all else is our top priority.

Schonfeld strives to create an environment where our people can thrive. We foster a teamwork-oriented, collaborative environment where ideas at any level are encouraged and shared. The development and advancement of our talent is honed through interactions with each other, learning & educational offerings, and through opportunities to make impactful contributions. In our agile environment, engineers are expected to self-organize and collaborate on the best way to solve problems, and they are collectively responsible for the entire team's delivery. Engineering teams are small and cross-functional, and value learning and knowledge sharing.

At Schonfeld, we strive to cultivate a sense of belonging throughout all of our employees with Diversity, Equity and Inclusion at the forefront of this mission. As a firm we are committed to creating a hiring process which is not only fair, but also welcoming and supportive. On a daily basis, our employees welcome diversity across identity, thought, people and views which serves as the foundation of our culture and success. You can learn more about our D&I initiatives here - Belonging @ Schonfeld.

Who we are

Schonfeld Strategic Advisors is a multi-manager platform that invests its capital with Internal and Partner portfolio managers, primarily on an exclusive or semi-exclusive basis, across four trading strategies; quantitative, fundamental equity, tactical trading and discretionary macro & fixed income. We have created a unique structure to provide global portfolio managers with autonomy, flexibility and support to best enable them to maximize the value of their businesses.

Over the last 30 years, Schonfeld has successfully capitalized on inefficiencies and opportunities within the markets. We have developed and invested heavily in proprietary technology, infrastructure and risk analytics and continue to capitalize on new opportunities. In 2021 we launched our newest strategy, discretionary macro & fixed income as part of the continual growth of Schonfeld’s investible universe. Our portfolio exposure has expanded across the Americas, Europe and Asia as well as multiple asset classes and products.

The base pay for this role is expected to be between $175,000 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.

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