Profile

Alok Kumar Diwakar

C++ Ultra Low Latency, Trading Technologies, Ex- Morgan Stanley | Credit Suisse | IIT Bombay

7.3

Years of Experience

Education

iit bombay indian institute of technology bombay, v.m college, p.p.p school

Companies

brevan howard, morgan stanley, undisclosed quantitative research hedge fund, credit suisse, citi

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Email

Email (Verified)

aloXXXXXXXXXXXXXXXXXXXXXXXXXom

Email

Mobile Number

+91XXXXXXXX19

Experience

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    2023 - Present

    brevan howard

    Senior Quantitative Developer

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    2022 - 2023

    morgan stanley

    Associate. Algorithm Developer

    Algorithmic Trading Developer - Low Latency C++, Trading, Risk and Control, C++17, Python and Proprietary technology - Ultra low latency Algo trading team, for emerging markets - Smart order routing and internalization - Client side / market side risk controls - Direct client connectivity for top tier quant clients - Abnormal trading, risk & auction control algorithms - Low latency market access / exchange co-location - C++ performance optimization and refactoring

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    2021 - 2022

    undisclosed quantitative research hedge fund

    Quantitative Developer

    Technology - C++20, Python • Matching Engine development & optimisation for research & backtesting- L3 order book, strategy simulation • HKEX derivative & security Market • Developed and designed shared memory transport, for events distribution between multiple processes. • Core features - memory pool allocator, covariance matrix, custom formatting, faster trie based lookup

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    2019 - 2021

    credit suisse

    Software Engineer. Direct Market Access, Electronic Trading & Execution

    • C++. Design, build and maintain a low latency, high-performance, adaptive Direct Market Access platform having 200 plus venues - Execution algorithms & Order Management System, Exchange Connectivity ( FIX/Binary engines) • Core libraries, shared components • Development and enhancement of features, new markets and low latency execution algorithms

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    2016 - 2019

    citi

    Software Engineer. Market Data, Electonic Trading

    Technology - C++, Core Java, Zero GC Java Real-time, low-latency, high speed market data feeds. Responsible for back-end infrastructure of the feed processing over 5 million price updates per second. Developed next-gen Market Data system • Order Book building algorithm - depth aggregation, composite book creation • Scalable market data feed handlers, Simulator • Performance optimisation of market-data trading system

Experience

91 Skills

Algorithmic Trading

Algorithms

Algorithms

analytics

Android SDK

Angular 6

Application Programming Interfaces (API)

architecture

Backend

C++

C++

Communication

Computer Vision

Core Java

customer satisfaction

Data Analysis

Data Scientist

Data Structures

Data Structures

Data Visualization

Decentralised

Derivatives

Design

Digital Image Processing

Distributed Systems

Distributed Systems

Eclipse

Edge Detection

Electrical Engineering

Equities

Feature Engineering

Frontend

Git

GitHub

Image Processing

infra

Infrastructure

Java

Java

Java Database Connectivity (JDBC)

Javascript

JDBC

linux

Low Latency Trading

Machine Learning

Machine Learning (ML)

market analysis

Market Data

Matlab

Maven

MongoDB

Neural Networks

NLTK

NumPy

optimization

Pandas

Pandas (Software)

Pattern Recognition

Python

Quantitative Finance

Random Forest

Representational State Transfer (REST)

Research

Research Scientist

REST

Routing

scalability

Scikit

Scikit-Learn

scipy

Seaborn

Search

security

Senior Software Engineer

Signal Processing

Software Design

Software Engineer

Spring

Spring Boot

SQL

Statistical Data Analysis

storage

strategy

Support Vector Machine (SVM)

SVM

teaching

Tensorflow

Trading

Typescript

Vision

Web

Education

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    2011 - 2016

    iit bombay indian institute of technology bombay

    Bachelor & Master of Technology

    B.Tech & M.Tech. ( Dual Degree ), Electrical and Computer Science Engineering

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    2008 - 2010

    v.m college

    Intermediate/+2

    Mathematics and Science

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    2007 - 2008

    p.p.p school

    Matriculation