Chaitanya Akunuri

Software Engineer

New York, New York, United States13 yrs 1 mo experience

Highly Stable

Key Highlights

Over 10 years of experience in quantitative finance.
Expert in developing trading algorithms for equity markets.
Proficient in multiple programming languages and statistical modeling.

Stackforce AI infers this person is a Fintech expert with a strong focus on quantitative trading and algorithm development.

Contact

Skills

Core Skills

Quantitative FinanceMachine LearningQuantitative Trading

Other Skills

Algorithm DevelopmentAnalyticsBusiness AnalysisCC++Financial AnalysisJavaJavaScriptMarket Data AnalysisMatlabOption Pricing ModelsPL/SQLPythonSAP NetweaverSQL

About

Engineer Over 10 years of experience in analysis of large time series data sets. Currently focused on developing products that have a direct impact on IEX's revenue stream. Specialized in building statistical models and optimizing Trading Algorithms in US & Canadian Equity Markets. Highly Proficient in Java, Python, SQL and No-SQL databases Proficient in GoLang, C++

Experience

13 yrs 1 mo

Total Experience

4 yrs

Average Tenure

1 yr

Current Experience

Stealth startup

Software Engineer

May 2025 – Present · 1 yr · New York, New York, United States · On-site

Crypto Trading

Iex

Quantitative Developer

Mar 2021 – Mar 2025 · 4 yrs · New York, New York, United States

Algo trading, Matching Engine Optimizations, Market data feeds

Bmo capital markets

Vice President

Feb 2016 – Mar 2021 · 5 yrs 1 mo · New York, New York, United States

Vice President at Clearpool Group acquired by BMO:
Accountable for the development and analysis of quantitative trading signals in US and Canadian equity markets which would be leveraged by trading algorithms.
Expertise:
1. Research, Design and Development of quantitative trading signals from market data stream in a low latency environment.
2. Transaction Cost Analysis (TCA) framework development and validation.
3. Research, Design and Development of Router TCA framework to analyze router performance.
4. Developed a process to capture various stats from market data in real time. These were used in building intraday volume, volatility (Avg True Range) and spread curves.
5. Lead collaborative endeavors with Universities in the New York city area to understand certain microstructure effects in the US markets.

Quantitative FinanceOption Pricing ModelsMachine LearningFinancial AnalysisBusiness AnalysisAnalytics+9

Columbia university in the city of new york

Graduate Teaching Assistant

Sep 2015 – Dec 2015 · 3 mos · Greater New York City Area

Teaching Assistant in the Computer Science department at Columbia University - The Fu Foundation School of Engineering and Applied Science

Sensus investment management

Quantitative Trading Analyst

May 2015 – Dec 2015 · 7 mos · Greater New York City Area

Built a Trade Automation Engine to manage all trades executed during a trading day
Developed intra day Equity Trading Strategies that resulted in significant returns after accounting for trading costs
Strategies based on mean reversion and breakouts were implemented. Used pair trading as the core idea
Trade Execution Engine was coupled to Knight Direct Trading platform
Knight was the broker and all orders including P&L per strategy were recorded at the end of day

Deloitte

Consultant - Cyber Risk Services

Jul 2011 – Jul 2014 · 3 yrs · Hyderabad Area, India

Consultant in Deloitte's Cyber Risk Services division, experienced in the Design and development of solutions catering to wide array of Enterprise Security requirements.
Lead Design and Development effort on multiple engagements to build large Enterprise Applications and Web Services Applications from scratch by working on multiple Technologies (Java, JavaScript etc).
Specialties:
■ Enterprise Risk, Security Consulting
■ Identity and Access Management (Oracle, SAP)
■ Security Architecture Design