Arman Khaledian

Arman Khaledian

CEO @ Zanista.AI

About

Arman Khaledian is the CEO and co-founder of Zanista AI. He earned his PhD in Mathematical Finance from Imperial College London. He spent seven years in quantitative research and risk roles at Millennium, Bank of America, and UBS. He comes from a deep finance background and now focuses on how AI is reshaping the space. His expertise includes market microstructure, factor modeling, stochastic processes, and hands-on Python and machine learning engineering. These are the areas where AI is already making a measurable impact. He also taught algorithmic trading at Imperial College Business School. Are you a student or recent graduate passionate about AI, LLMs, and quantitative research? Join us at Zanista AI as an unpaid intern! Learn more and apply by emailing info@zanista.ai. Our former interns have gone on to roles at Google, Bank of America, and other leading firms.

Country

United Kingdom

City

London

Industry

Financial Services

Skill

Algorithmic Trading, Quantitative Finance, Risk Management, Large Language Models (LLM), Quantitative Research, Risk Modeling

Experience

Zanista.AI

CEO

Zanista.AI

LinkedIn
2023-8 - Present · 3 yrs 1 mo
IntoUniversity

Volunteer | Mentor

IntoUniversity

LinkedIn
2021-11 - 2025-11 · 4 yrs 1 mo

London, England, United Kingdom

Imperial Business School

Visiting Lecturer

Imperial Business School

LinkedIn
2023-2 - 2023-8 · 7 mos

London, England, United Kingdom

Financial Engineering | Algorithmic Trading | High Frequency Trading (HFT)

Millennium

Quantitative Risk Analyst | Futures and Currency Arbitrage

Millennium

LinkedIn
2022-7 - 2023-8 · 1 yr 2 mos

London, England, United Kingdom

Quantitative Risk Analyst | Systematic Macro in Global Equities, Commodities, Rates & FX

UBS

Machine Learning Quantitative Analyst

UBS

LinkedIn
2021-6 - 2022-5 · 1 yr

London, England, United Kingdom

Algorithmic Trading: Enhancing Execution Performance with Hierarchical Bayesian Bandits in Algo Wheel (Algorithm Recommendation System)

Bank of America

Quantitative Researcher

Bank of America

LinkedIn
2018-7 - 2021-6 · 3 yrs

London, England, United Kingdom

Equity Quant in Data & Innovation Group | Scientific Implementation Optimized hedged portfolios using factor models. Trading signal based on ETF flow analysis. Portfolio Execution and algorithmic trading. Led client strategy discussions, FCA certified. Minimized Portfolio trading cost and risk during index rebalancing.

Imperial Business School

Graduate Teaching Assistant

Imperial Business School

LinkedIn
2017-10 - 2018-9 · 1 yr
CFM-Imperial Institute of Quanitative Finance

Research Fellow

CFM-Imperial Institute of Quanitative Finance

2014-10 - 2018-9 · 4 yrs
Imperial College London

Graduate Teaching Assistant

Imperial College London

LinkedIn
2015-1 - 2018-3 · 3 yrs 3 mos

Department of Mathematics

Education

Imperial College London

Imperial College London

LinkedIn

Financial Mathematics

2015-10 - 2021-10 · 6 yrs 1 mo

Sobolev Spaces in Functional Itô Calculus Stochastic Taylor Expansions for Functionals of Square Integrable Martingales

Imperial College London

Imperial College London

LinkedIn
2014-10 - 2015-9 · 1 yr
Aryamehr University of Technology

Aryamehr University of Technology

LinkedIn
Aryamehr University of Technology

Aryamehr University of Technology

LinkedIn

Arman Khaledian's Contact Information

Email

******@***.com

Phone

(**) *** ****

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