Data Scientist - Systematic Data Platform

Miami, Florida, United States

Applications have closed

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 work closely with portfolio managers, data engineering and data operations teams to expand the creation of research-ready datasets and signal generation using statistical and machine learning methods. You will become the domain expert on various financial datasets and conduct EDA to determine data relevance to business questions. You will also help in building out the data science environment that scales the data transformation, curation, analytics and back testing for systematic research. The ideal candidate will be passionate and have practical experience in applying financial modeling and machine learning techniques to data science research for the 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 statistical analysis
  • Knowledge of developing quality metrics for structured and unstructured data in ETL/ELT pipeline
  • Deep understanding of feature engineering, model training, evaluation and deployment
  • Collaborate with investment teams to understand their strategy requirements; build research ready datasets and analytics in 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 using data mining and machine learning methods for signal generation
  • 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 back testing
  • Knowledge of Financial Instruments such as equity, futures and fixed Income.
  • Analytical experience with financial datasets
  • 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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Airflow Athena AWS Computer Science Data Analytics Data Mining DataOps Docker EDA ELT Engineering ETL Feature engineering Flink Kafka Machine Learning Model training Python Research Spark SQL Statistics Testing Trading Strategies Unstructured data

Perks/benefits: Career development

Region: North America
Country: United States
Job stats:  17  5  0
Category: Data Science Jobs

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