Rudra Desai — Product Engineer

I’m a Quantitative Researcher at Squarepoint Capital, focusing on data-driven alpha research and systematic monetization within the Long/Short Equity (Quantamental) business. My current role involves identifying, evaluating, and productionizing new signal ideas from both structured and unstructured data sources. I design and deploy research pipelines that enable systematic backtesting, feature generation, and alpha validation. Previously, as a Desk Quant Analyst at Squarepoint, I built the prototype interface and data platform that systematized discretionary inputs from equity research teams. This system evolved into a firmwide, multi-asset production platform delivering structured datasets and signals to quantitative researchers. I also contributed to developing internal data pipelines for ownership structures, catalysts, and event-driven datasets, laying the foundation for scalable alpha research. Before joining finance, I worked as a Software Development Engineer at Amazon, where I designed automated testing frameworks for IoT devices — experience that sharpened my focus on robust system design, precision, and scalability. I hold a B.Tech in Computer Science and Engineering from IIT Madras, with academic depth in Probability, Statistics, and Machine Learning. Proficient in Python, C++, OCaml, Rust, and JavaScript, I bring an integrated research and engineering mindset to building scalable systems that convert data into systematic alpha.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative research and software development.

Location: London, England, United Kingdom

Experience: 3 yrs 10 mos

Skills

Quantitative Research
Alpha Generation
Data Analysis
Software Development
Natural Language Processing (nlp)
Security Analysis
Backend Development
Machine Learning
Full Stack Development

Career Highlights

Expert in quantitative research and systematic monetization.
Proven track record in building scalable data pipelines.
Strong foundation in machine learning and statistical analysis.

Work Experience

Squarepoint

Quantitative Researcher (1 yr 4 mos)

Desk Quant Analyst (1 yr 4 mos)

Amazon

Software Development Engineer (1 yr 2 mos)

Narrato

Software Developer (2 mos)

American Express

Security Analyst (1 mo)

Clockout

Back End Developer (1 mo)

Godot Media

Product Development Intern (2 mos)

Earnvest Technologies

Full Stack Developement Intern (2 mos)

Education

Bachelor of Technology - BTech at Indian Institute of Technology, Madras

Rudra Desai

Product Engineer

London, England, United Kingdom3 yrs 10 mos experience

Most Likely To Switch

Key Highlights

Expert in quantitative research and systematic monetization.
Proven track record in building scalable data pipelines.
Strong foundation in machine learning and statistical analysis.

Stackforce AI infers this person is a Fintech professional with expertise in quantitative research and software development.

Contact

Skills

Core Skills

Quantitative ResearchAlpha GenerationData AnalysisSoftware DevelopmentNatural Language Processing (nlp)Security AnalysisBackend DevelopmentMachine LearningFull Stack Development

Other Skills

Algorithmic TradingAlgorithmsAmazon EC2Amazon Web Services (AWS)Apache KafkaBurp SuiteC (Programming Language)C++Competitive ProgrammingComputer NetworkingConvolutional Neural Networks (CNN)Data StructuresDeep LearningDjangoDocker Products

About

Experience

3 yrs 10 mos

Total Experience

1 yr 11 mos

Average Tenure

2 yrs 8 mos

Current Experience

Squarepoint

2 roles

Quantitative Researcher

Promoted

Feb 2025 – Present · 1 yr 4 mos · On-site

Built systematic monetization pipelines leveraging discretionary signals from Equity Fundamental Analysts, enabling direct integration into alpha-generating strategies.
Developed automated analyst performance evaluation tools, quantifying timing precision, conviction accuracy, and idiosyncratic alpha to inform investment decisions.

Quantitative ResearchPython (Programming Language)Alpha GenerationStatistical ResearchData AnalysisTime Series Analysis

Desk Quant Analyst

Oct 2023 – Feb 2025 · 1 yr 4 mos · On-site

Designed and prototyped a framework to capture discretionary insights from Equity Fundamental Analysts across regions and sectors.
Scaled the prototype into a production-grade multi-asset platform delivering structured signals to Quantitative Research teams.
Partnered with researchers to build internal data pipelines for alternative datasets, including company ownership, event catalysts, and asset correlation metrics.
Created dynamic, ticker-level Tableau dashboards for intuitive visualization of alternative datasets.

Quantitative ResearchMicrosoft ExcelPython (Programming Language)QData AnalysisTableau+1

Amazon

Software Development Engineer

Jul 2022 – Sep 2023 · 1 yr 2 mos · United Kingdom · On-site

Contributed in the development and deployment of Amazon’s largest IoT Network of 1.5M+ devices
Orchestrated design of a Test System to expedite Quality Assurance, resulting in a 90% reduction in run-time
Leveraged event-driven libraries such as Asyncio to concurrently test 100+ IoT devices in one go
Cross-compiled and ported Python with its associated Linux dependencies to a microcontroller for efficient testing

Python (Programming Language)AlgorithmsGitAmazon Web Services (AWS)FlaskLinux+5

Narrato

Software Developer

Jan 2022 – Mar 2022 · 2 mos · Bengaluru, Karnataka, India · Remote

Enhanced an AI-based content creation tool to generate 1000+ SEO friendly blogs & articles daily.
Integrated OpenAI’s APIs into 15+ use cases, enabling faster adoption of Narrato platform.
Troubleshot platform errors in Django & React applications, streamlining process operations by 40%.
Deployed a multi-layered NLP model; achieved 95% accuracy in real-time content evaluation & rating.

Python (Programming Language)Natural Language Processing (NLP)GitSQLSoftware Development

American express

Security Analyst

Jun 2021 – Jul 2021 · 1 mo · India · Remote

Developed a robust API server leveraging Django to deliver critical security reports across internal software
Assessed 3000+ vulnerabilities, identified true positives, and debugged affected components in production
Automated go-live processes with Python scripts, which expedited internal library updates in the Jenkin’s CI/CD pipeline resulting in over 10% time savings

Apache KafkaPython (Programming Language)Burp SuiteDjangoSQLWireshark+3

Clockout

Back End Developer

Dec 2020 – Jan 2021 · 1 mo · New York, United States · Remote

Developed a Django REST API Server for supporting an android app in production.
Implemented high-performance real-time messaging support that can manage up to 10K concurrent user traffic using Web sockets.
Optimized internal APIs to streamline the performance and stabilize load time by 10%

Python (Programming Language)Amazon Web Services (AWS)NginxDjangoBackend DevelopmentSoftware Development

Godot media

Product Development Intern

May 2020 – Jul 2020 · 2 mos · Bengaluru, Karnataka · Remote

Utilized Regex and NLP techniques to clean and scrape web articles using Python
Constructed a multi-layered LSTM model with an attention mechanism on the generated dataset
Implemented a successful deployment of the model using Tensorflow.js to rate articles in real-time for freelancers on Narrato

Python (Programming Language)Natural Language Processing (NLP)Machine Learning

Earnvest technologies

Full Stack Developement Intern

Apr 2020 – Jun 2020 · 2 mos · India · Remote

Developed a full-stack web application to process and simulate the auction process as a POC for funding rounds
Led a team of three interns to design the core website with a rich interface.
Utilized technologies like Django, Nginx, MySQL, and Gunicorn to deploy the service on AWS

Python (Programming Language)DjangoFull Stack DevelopmentSoftware Development