Arman Khaledian

CEO

London, England, United Kingdom11 yrs 7 mos experience

Most Likely To Switch

Key Highlights

PhD in Mathematical Finance from Imperial College London.
Expert in AI's impact on finance and quantitative research.
Led algorithmic trading initiatives at top financial institutions.

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

Contact

arman.khaledian@zanista.ai LinkedIn

Skills

Core Skills

Algorithmic TradingFinancial EngineeringQuantitative Risk AnalysisSystematic MacroMachine LearningQuantitative Research

Other Skills

High Frequency Trading (HFT)Global EquitiesCommoditiesRatesFXHierarchical Bayesian BanditsAlgorithm Recommendation SystemData AnalysisPortfolio OptimizationQuantitative FinanceRisk ManagementLarge Language Models (LLM)Risk Modeling

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.

Experience

11 yrs 7 mos

Total Experience

2 yrs 2 mos

Average Tenure

2 yrs 9 mos

Current Experience

Zanista.ai

CEO

Aug 2023 – Present · 2 yrs 9 mos

Imperial college business school

Visiting Lecturer

Feb 2023 – Aug 2023 · 6 mos · London, England, United Kingdom

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

Algorithmic TradingFinancial EngineeringHigh Frequency Trading (HFT)

Millennium

Quantitative Risk Analyst | Futures and Currency Arbitrage

Jul 2022 – Aug 2023 · 1 yr 1 mo · London, England, United Kingdom

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

Quantitative Risk AnalysisSystematic MacroGlobal EquitiesCommoditiesRatesFX

Intouniversity

Volunteer | Mentor

Nov 2021 – Nov 2025 · 4 yrs · London, England, United Kingdom

Ubs

Machine Learning Quantitative Analyst

Jun 2021 – May 2022 · 11 mos · London, England, United Kingdom

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

Machine LearningAlgorithmic TradingHierarchical Bayesian BanditsAlgorithm Recommendation System

Bank of america

Quantitative Researcher

Jul 2018 – Jun 2021 · 2 yrs 11 mos · 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.

Quantitative ResearchData AnalysisPortfolio OptimizationAlgorithmic Trading