Quantitative Engineer - Data Engineering

About BestEx Research

BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides its services to performance-demanding hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model.

BestEx Research’s mission is to become the leader in automation and measurement of execution across asset classes globally and significantly reduce transaction costs for our clients.

Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities, futures, and foreign exchange that delivers an entire ecosystem around execution algorithms, including transaction cost analysis (TCA), an algo customization tool called Strategy Studio, a trading dashboard, and pre-trade analytics in a single platform. The platform is currently live for US equity and global futures trading.

BestEx Research is disrupting a $100 billion industry by challenging the status quo of stale, black-box solutions from banks and offering next-generation execution algorithms that combine performance improvement with transparency and customization. BestEx Research uses leading-edge technology to support its low-latency, highly scalable research and trading systems with its back end in C++, research libraries in C++/Python and R, and web-based technologies for delivering its front-end platforms.

Visit bestexresearch.com for more information about our mission, products, research, and services.

Why work at BestEx Research?

If you want to help investors reduce their trading costs in an incredibly complex market structure and help create and shape an industry-defining product, then this is an excellent opportunity to join an incredibly talented team of 20+. BestEx Research has almost zero turnover, top notch clients, zero bureaucracy, and a flat organizational structure. It is a true meritocracy, set in a collaborative environment, where every employee is working on extraordinarily interesting projects. Our pay scale and benefits are comparable to top-tier firms in our industry, either in the form of cash compensation or a hybrid cash and equity compensation plan. Employees at BestEx Research have exposure to much more variety in the projects they complete and opportunities for growth than in similar roles at other firms.

Location: Bengaluru, India

Our beautiful Bangalore office is conveniently located in Outer Ring Rd, Bangalore. Amenities include modern work spaces, free parking, recreational games, a fitness center, bike storage, wellness room, and free meals.

Primary Job Responsibilities:

Quantitative engineer in the Data Engineering team contributes to the design and management of execution algorithms for global equities, futures, and foreign exchange with the aim of continuously minimizing trading costs for our clients. BestEx Research quants will learn about algorithmic trading, data management, performance measurement, and market microstructure, globally. Quants are nested within a talented team of experts and practitioners in the field and may participate in writing research papers and interface closely with client research teams to improve trading costs. Our internal research environment includes tick-by-tick market data, historical back testing simulators, instrument-level daily analytics and normalized order and execution data to facilitate new research. Our infrastructure allows speedy creation of execution algorithms and contains simulation capability for testing. Day-to-day responsibilities of this role may include but are not limited to:

• Analytics and Reporting Tools - Develop and optimize production-level code for new reports and analyses, ensuring they integrate seamlessly into both the post-trade product and pre-trade analytics tools. Improve existing methodologies, investigate issues, and perform custom analysis for special market events or days, ensuring the highest level of accuracy and performance.
• Data Infrastructure & Automation - Design and maintain databases (schemas, design, functions) and automate daily BAU tasks, ensuring smooth data workflows and managing data dependencies effectively.
• Data Management & Processing - Work with large financial data sets, applying efficient data wrangling techniques to ensure clean, structured, and ready-to-use data for analysis.
• Documentation - Document methodologies, theories, and results clearly for a range of internal and external audiences, ensuring transparency and reproducibility.
• Client Analysis & Algorithm Refinement - Work closely with Senior Quants and Product Managers to produce custom client analyses and refine existing algorithms. Contribute to the end-to-end research and implementation of execution algorithms, including idea generation, data collection, model development, evaluation, and continuous improvement.

Requirements

● Highly motivated, willing to take ownership of work
● Collaborative mindset with strong independent research abilities

● Bachelors in computer science, data science or Masters in statistics, economics, quantitative finance, MBA (Finance) or other quantitative fields with a strong foundation in statistics and programming. 

● Prior experience (0-3 years) building high frequency trading strategies, algorithmic trading strategies or statistical arbitrage is valued but not required
● Experience using data to answer questions and communicating the results, including model building
● Experience cleaning data, quickly and efficiently scrubbing, formatting, and manipulating large, raw data sources
● Strong command of the foundations of applied statistics and modeling
● Strong preference for demonstrated proficiency in SQL and R or Python, but experience using at least one programming language is required
● Experience with C++ valued but not required
● Experience with building API backend is valued but not required
● Excellent communication skills and ability to articulate ideas and work to colleagues and clients