Data Engineer

Versor Investments (“Versor”) is a quantitative investment boutique headquartered in Midtown Manhattan. The Firm currently has an AUM of $1.1 billion*. Versor creates diversified sources of absolute returns across multiple asset classes. Within a scientific, hypothesis-driven framework, Versor leverages modern statistical methods and vast datasets to drive every step of the investment process. Alpha forecast models, portfolio construction, and the trading process rely on the ingenuity and mathematical expertise of 50+ investment professionals. Versor offers two categories of investment products – Hedge Funds and Alternative Risk Premia. Both are designed to provide superior risk-adjusted returns while exhibiting low correlation to traditional and alternative asset classes. Each invests in liquid, scalable markets. On average, Versor’s partners have spent over 20 years researching, investing and trading systematic alternative investment strategies.

Role Summary

The Data Engineer position will be based in Mumbai and be part of the Portfolio Analytics team. They will collaborate closely with senior researchers to design and develop a large-scale data lake. We are seeking candidates who have excelled in engineering (specifically computer science). Prior experience in investments and finance is beneficial but not mandatory.

This role is ideal for candidates who are passionate about technology and excited about building a data platform.

Responsibilities

• Design architecture for a data platform.
• Design data pipelines based on business and functional requirements.
• Extract, transform, and load logic to automate data collection and manage data processes/pipelines. This includes data quality and monitoring.
• Develop data access tools to allow researchers to access data seamlessly.
• Develop integration tools and analytical reports for the databases and data warehouse.
• Write and review technical documents. This includes requirements and design documents for existing and future data systems, as well as data standards and policies.
• Collaborate with analysts, support/system engineers, and business stakeholders to ensure data infrastructure meets constantly evolving requirements.

Requirements

• E., B.Tech., M.Tech., or M.Sc. in Computer Science, Computer Engineering or similar discipline from a top tier institute.
• 2+ years direct experience working as a data engineer.
• Experience in design, architecture and implementation of data lake, data pipelines and flows.
• Experience with developing software code and APIs in one or more languages such as Python and C#.
• Experience designing and deploying large scale distributed data processing systems with one or more technologies such as MS SQL Server, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, Hive, Teradata, or MicroStrategy.
• A high-level understanding of automation in a cloud environment (AWS experience preferred).
• Excellent communication, presentation, and problem-solving skills.

*Data as of December 31, 2023. AUM reflects regulatory AUM as per SEC definition for the purposes of Item 5.F on the Form ADV Part 1a.