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Quantitative Data Engineer

Quantitative Data Engineer
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Job Description

The Role

We are seeking a talented Data Engineer to be part of an ambitious, newly formed quantitative investment team. This means the role will sit within a revenue-generating team. The team seeks to research and implement strategies across several different disciplines including systematic fundamental, sector specific and statistical arbitrage. This remit will involve multiple greenfield technology buildouts on cloud-based environments including projects around: machine learning, data warehousing, analytics engineering, ETL & ELT, containerization, and infrastructure-as-code.

What you’ll do ** **

The Data Engineer will be responsible for designing, implementing, and maintaining functionality across various elements of our cloud-native data platform. As a member of a growing investment team, you sit next to the Quantitative Researchers and Data Scientists and work with them to define data outputs needed for research. This is a role that will require you to own the design and implementation of new data processes – this could be data modelling and pipelining for new data sources, creating analytic tools, creating data for downstream analyses and dashboards, enhancing parallel compute capabilities for machine learning, feature engineering and automating quality checks.

What you’ll bring

What you need:

  • Experience with Python and SQL
  • Excellent communication skills, both written and verbal
  • Experience with cloud-based data warehouse technologies (Databricks, Snowflake, Redshift, etc.)
  • Experience with cluster compute (Spark, Dask, etc.) and schedulers (Airflow, Dagster, Prefect)
  • Experience working with data analysts to define data models, publish metrics, and build dashboards
  • Highly skilled and analytical problem solver with logical thought processes and quantitative aptitude
  • Strong sense of project ownership and a track record of delivering results

We’d love if you had:

  • Experience within a quantitative trading firm/hedge fund or experience with timeseries/market/alternative data
  • Interest or experience in analytics engineering (with dbt or other ELT frameworks)
  • **** Experience working with machine learning or NLP data pipelines.

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 DEI initiatives here - [Belonging @ Schonfeld]( group/life/d53089e7-ba0e-4946-a70c-f47f0d548370/?viewAsMember=true).

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.

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