Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Software Engineer (Web Full Stack) to join our Risk Technology division as part of the Pricing team to design and develop next-gen web-based tools.
The Risk Technology division is responsible for identifying, analyzing, monitoring, and controlling risk for Tower via software-level risk management controls, limits, and procedures.
Responsibilities:
The Software Engineer (Web Full Stack) will be responsible for:
Driving the technical architecture strategy for web based solutions in the Pricing team. The team computes price estimates for various asset classes across the firm’s trading universe which are used for various risk checks including the P&L calculations.
Working proactively with various pricing providers (in and outside the firm) and other stakeholders globally to develop data pipelines and end-to-end web solutions that consolidate and publish pricing data.
Ensuring that the architecture is robust, scalable, maintainable, and secure
Proposing and developing key performance metrics to drive design decisions, identify performance bottlenecks and monitor application stability
Designing and developing new frontend solutions for Pricing team
Leveraging and fine-tuning appropriate ETL, database, and API/Web solutions
Investigate data to identify potential issues within ETL pipelines, notify end-users, and propose and build adequate solutions
Qualifications:
The ideal candidate will have:
A bachelor’s or master’s degree in computer science or a related field
At least 2-4 years of full stack experience with building enterprise-grade web-based solutions, preferably having built such solutions from scratch
Experience in technically leading or mentoring team members is a must
Strong database knowledge (query performance tuning, index maintenance, etc.) as well as a good understanding of data modeling principles
Strong experience in building ETL pipelines using Kafka, Airflow, etc.
Strong expertise working with web services (experience in Python-based frameworks like Django, Flask, FastAPI, etc. is a plus)
Strong Linux skills and ability to pick up new data tools and concepts quickly
Experience in data analytics tools like pandas.
Experience in client-side Javascript and web-based UI frameworks
Excellent English written and verbal communication skills
Benefits
Tower continues to enhance the in-house trading system and strategies that have positioned the firm as a leader in the thriving field of quantitative trading. While Tower offers challenges and rewards rivaling those of any Wall Street firm, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on the quality of life. Benefits include:
Competitive salary and performance-based bonuses
5 weeks of paid vacation per year
Breakfast, lunch, dinner, and snacks on a daily basis
Cab facility within Gurgaon
Health club allowances
Tower Research Capital is an equal opportunity employer