Ajusal Sugathan
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Ajusal Sugathan Email & Phone Number

Head, Quantitative Research & Trading at Altitude Trading at Altitude Trading
Location: Dubai, United Arab Emirates, United Arab Emirates 5 work roles 2 schools
1 work email found @altitudetrading.com 1 phone found area 993 LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 1 phone

Work email a****@altitudetrading.com
Direct phone (993) ***-****
LinkedIn Profile matched
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Current company
Role
Head, Quantitative Research & Trading at Altitude Trading
Location
Dubai, United Arab Emirates, United Arab Emirates
Company size

Who is Ajusal Sugathan? Overview

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Quick answer

Ajusal Sugathan is listed as Head, Quantitative Research & Trading at Altitude Trading at Altitude Trading, a company with 12 employees, based in Dubai, United Arab Emirates, United Arab Emirates. AeroLeads shows a work email signal at altitudetrading.com, phone signal with area code 993, and a matched LinkedIn profile for Ajusal Sugathan.

Ajusal Sugathan previously worked as Head, Quantitative Research & Trading at Altitude Trading and CEO & Portfolio Manager at Statalpha Advisors. Ajusal Sugathan holds Master Of Business Administration - Mba, Finance from Indian Institute Of Management Bangalore.

Company email context

Email format at Altitude Trading

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{first}@altitudetrading.com
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AeroLeads found 1 current-domain work email signal for Ajusal Sugathan. Compare company email patterns before reaching out.

Profile bio

About Ajusal Sugathan

▪ Quant Head @ Altitude Trading - Actively hiring Quant PMs, Sub-PMs and Researchers▪ 11+ years of experience in managing quantitative trading/investment portfolios and research teams▪ Expertise in building factor-driven trading/investment strategies powered by machine learning▪ Diverse markets and geographies: US, European and Asian equities, commodities, bonds and currencies▪ Diverse trading styles: Pattern-based, Momentum, Relative Value, Reversal, Volatility, Value, Carry

Listed skills include Financial Modeling, Portfolio Management, Trading, Hedge Funds, and 4 others.

Current workplace

Ajusal Sugathan's current company

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Altitude Trading
Altitude Trading
Head, Quantitative Research & Trading at Altitude Trading
Dubai, AE
Employees
12
AeroLeads page
5 roles

Ajusal Sugathan work experience

A career timeline built from the work history available for this profile.

Head, Quantitative Research & Trading

Current

Dubai, AE

  • Managing proprietary capital using quantitative strategies on futures, options, equites and spreads
  • Application of statistical machine learning techniques to build enhanced trading models
  • Target markets: US, European and Asian commodities, currencies, equities and fixed income
  • Trading styles: Factor-driven CTA, Options Long/Short gamma, Spreads Relative-Value, Equity Stat-Arb
Mar 2021 - Present

Ceo & Portfolio Manager

Mumbai, Mahrashtra, IN

  • Managed a portfolio of mid-frequency quantitative trading strategies
  • Target markets: Asian commodity and equity futures markets
  • Trading style: Factor-driven CTA style approach with focus on momentum/trend
Apr 2019 - Feb 2021

Director & Portfolio Manager

Kolkata, West Bengal, IN

  • Managed client investment capital under a MAS (Singapore) regulated hedge fund structure
  • Managed a portfolio of quantitative investment strategies with aum deployed upto $17.5 mn
  • Key focus on application of machine learning techniques to build enhanced investment models
  • Managed a team of quant researchers with expertise in trading, statistics and data science
  • Target markets: Global equities, commodities, currencies and fixed income
  • Target geographies: US, European and Asian financial markets
May 2015 - Mar 2019

Managing Partner

Kolkata, West Bengal, IN

  • Managed a sizable portfolio of investments from institutional investors and HNIs
  • Deployed capital on 100% automated quantitative trading models to generate alpha
  • Researched and developed alpha generating quantitative trading strategies
Mar 2013 - Nov 2016
Team & coworkers

Colleagues at Altitude Trading

Other employees you can reach at altitudetrading.com. View company contacts for 12 employees →

2 education records

Ajusal Sugathan education

Master Of Business Administration - Mba, Finance

Indian Institute Of Management Bangalore

Bachelors Of Engineering (Hons.)

Birla Institute Of Technology And Science, Pilani
FAQ

Frequently asked questions about Ajusal Sugathan

Quick answers generated from the profile data available on this page.

What company does Ajusal Sugathan work for?

Ajusal Sugathan works for Altitude Trading.

What is Ajusal Sugathan's role at Altitude Trading?

Ajusal Sugathan is listed as Head, Quantitative Research & Trading at Altitude Trading at Altitude Trading.

What is Ajusal Sugathan's email address?

AeroLeads has found 1 work email signal at @altitudetrading.com for Ajusal Sugathan at Altitude Trading.

What is Ajusal Sugathan's phone number?

AeroLeads has found 1 phone signal(s) with area code 993 for Ajusal Sugathan at Altitude Trading.

Where is Ajusal Sugathan based?

Ajusal Sugathan is based in Dubai, United Arab Emirates, United Arab Emirates while working with Altitude Trading.

What companies has Ajusal Sugathan worked for?

Ajusal Sugathan has worked for Altitude Trading, Statalpha Advisors, Quant One, and Hedge Quants.

Who are Ajusal Sugathan's colleagues at Altitude Trading?

Ajusal Sugathan's colleagues at Altitude Trading include Jatin Harisinghani, Jasar Anjillath Puthilon, and Shubham Chourey.

How can I contact Ajusal Sugathan?

You can use AeroLeads to view verified contact signals for Ajusal Sugathan at Altitude Trading, including work email, phone, and LinkedIn data when available.

What schools did Ajusal Sugathan attend?

Ajusal Sugathan holds Master Of Business Administration - Mba, Finance from Indian Institute Of Management Bangalore.

What skills is Ajusal Sugathan known for?

Ajusal Sugathan is listed with skills including Financial Modeling, Portfolio Management, Trading, Hedge Funds, Data Analysis, Business Strategy, Algorithmic Trading, and Machine Learning.

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