Shouvik Sachdeva

CEO

New York City, New York, United States10 yrs 9 mos experience
Highly Stable

Key Highlights

  • Expert in algorithmic trading and portfolio optimization.
  • Strong background in quantitative research and data science.
  • Proven track record in developing systematic trading strategies.
Stackforce AI infers this person is a Fintech expert with a strong focus on quantitative trading and data-driven decision making.

Contact

Skills

Core Skills

Portfolio OptimizationAlgorithmic TradingData ScienceQuantitative Research

Other Skills

Equity TradingForecastingMachine LearningPython (Programming Language)Risk Management

Experience

Tower research capital

Senior Quantitative Trader

Oct 2025Present · 5 mos · New York, United States · On-site

Non compete

Non Compete

Sep 2024Dec 2025 · 1 yr 3 mos

Worldquant

5 roles

Portfolio Manager

Promoted

Mar 2019Sep 2024 · 5 yrs 6 mos

  • Develop and trade systematic strategies in equity markets.
Portfolio OptimizationPython (Programming Language)Machine LearningRisk ManagementForecastingAlgorithmic Trading+1

Quant Macro Analyst

Sep 2018Mar 2019 · 6 mos

Vice President

Jan 2018Sep 2018 · 8 mos

Data SciencePython (Programming Language)Machine LearningQuantitative Research

Senior Quantitative Researcher

Promoted

Jul 2016Dec 2017 · 1 yr 5 mos

Data SciencePython (Programming Language)Machine LearningQuantitative Research

Quantitative Researcher

Jun 2015Jul 2016 · 1 yr 1 mo

Data SciencePython (Programming Language)Machine LearningQuantitative Research

Microsoft

Research Intern

May 2014Jul 2014 · 2 mos · Bengaluru Area, India

  • Guides: G. Ramalingam, Kaushik Rajan, Kapil Vaswani
  • Analyzed popular implementations of various distributed systems including PNUTS by Yahoo!, Kafka by Apache, Storm by Apache, Map Reduce by Google, DynamoDB by Amazon, Dryad and Dryad LINQ by Microsoft, Milwheel by Google, Spark by Apache and Hadoop by Apache.
  • Explored the decision space regarding features like replication, consistency, fault tolerance, storage architecture, message passing techniques, delivery guarantees, and referential integrity to be able to simplify the design and development of scalable distributed systems.
  • Modified implementation of the CScale to enable integration with Yahoo! Cloud Serving Benchmark (YCSB) for performance testing.
  • Analyzed available options for interop functionality for enabling communication between a Java client (YCSB) and a C# server (CScale).
  • Tested SOAP, REST, Apache Thrift, Google Protobuf and Avro and identified REST as the most suitable protocol for programming model on the basis of the overhead and the ease of integration.
  • Self-hosted an OData WCF service to expose CScale via a REST layer and translate calls from client into relevant methods in CScale.

Feecounter

Web Development Intern

May 2013Jul 2013 · 2 mos · Pune Area, India

  • Guides:Mitesh Ajmera and Sujeet Pillai
  • Helped design the new website for online payment portal, administrator console and profile page.
  • Used Angular JS for JavaScript frontend, CouchDB for database, Rackspace Cloud for server, Git for deployment, CodeBasehq for collaboration.

Education

Indian Institute of Technology, Kanpur

Bachelor’s Degree — Computer Science and Engineering

Jan 2011Jan 2015

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