Rishhanth Maanav V

Sales Executive

Amsterdam, North Holland, Netherlands4 yrs 8 mos experience

Key Highlights

Experienced derivatives trader specializing in options.
Strong background in machine learning and computer vision.
Passionate about solving complex mathematical problems.

Stackforce AI infers this person is a Fintech professional with expertise in trading and machine learning.

Contact

Skills

Core Skills

OptionsTradingFinanceData Analysis

Other Skills

CC++Computer VisionDeep LearningImage ProcessingLT SpiceMachine LearningPythonReinforcement LearningTensorflowVolatility

About

I am a derivatives trader at Optiver specialising in options. I am passionate about mathematics and love exploring and solving complex practical problems. I graduated with an undergraduate degree from the department of electrical engineering in IIT Madras. My interests span the areas of problem solving through statistical learning. I have had the opportunity to design scalable and interpretable machine learning models during my stay at IIT Madras and my internships at Detect Technologies and NTU Singapore. I have passed the Level I exam of the CFA program.

Experience

Optiver

Derivatives Trader

Nov 2022 – May 2024 · 1 yr 6 mos · Amsterdam, North Holland, Netherlands · On-site

Traded options in a fast paced market making environment focusing on Brazilian derivatives.

VolatilityFinanceOptionsData AnalysisTrading

Morgan stanley

Associate

Jul 2021 – Oct 2022 · 1 yr 3 mos · Mumbai, Maharashtra, India

Part of the Japan Macro Desk trading interest rate swaps and bonds.

FinanceData AnalysisTrading

Nanyang technological university

Research Intern

May 2019 – Jul 2019 · 2 mos · Jurong, Singapore, Singapore

◦ Worked on safe deep learning for computer vision with applications in autonomous vehicles.
◦ Worked on using Feature Space Partition Trees to identify a safe input space for object detection models.
◦ Identified and explored the usability of Variational Auto Encoders to efficiently identify a safe input space for deployment of deep networks on images.

Data Analysis

Detect technologies

Computer Vision and Intelligence Intern

May 2018 – Jul 2018 · 2 mos

◦ Engineered the automation of drones through crash avoidance, precision landing and odometry using vision.
◦ Formulated and trained an object detection pipeline for detection and classification of defects in industrial assets.
◦ Received badges for exceptional performance while completing several milestones within a limited time frame.

Computer vision group, iit madras

2 roles

Strategist

Apr 2018 – Apr 2019 · 1 yr

Coordinator

May 2017 – May 2018 · 1 yr

Shaastra, iit madras

2 roles

Coordinator

May 2017 – May 2018 · 1 yr

Ideating, budgeting and organising a workshops and events on coding for a footfall of around 10,000.
Creating the backend for evaluating OMR answer sheets.