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Daniel Madan is listed as Algorithmic Trader at Indépendant, based in Lausanne, Vaud, Switzerland. AeroLeads shows a work email signal at ubp.com and a matched LinkedIn profile for Daniel Madan.
Daniel Madan previously worked as Consultant - Quantitative Analyst at Pictet Group and Quantitative Analyst at Union Bancaire Privée - Ubp. Daniel Madan holds Master Of Science In Finance, Financial Engineering from Hec Lausanne - School Of Business.
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AeroLeads found 1 current-domain work email signal for Daniel Madan. Compare company email patterns before reaching out.
Objectif professionnel: Quantitative analysis. Systematic and discretionary trading. Risk Engineering.
Listed skills include Trading, Trading System, Finance Quantitative, Numerical Simulation, and 18 others.
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Lausanne, Vaud, Suisse
Algorithmic Trading on US index futures with future expansion on EU markets and all asset classes. Developed a proprietary trading strategy using methods taken from signal processing, game theory, technical analysis, market microstructure, econometrics, and time series analysis.
Genève, Suisse
Given carte-blanche to complete two imperative projects for the Pictet Group pertaining to Swiss and MifiD II regulations in a specialised, lone-wolf role within the Chief Data Office.2020-21 : Masterminded the PTS Transactional Stock Market Activity Log, a powerful source of operational intelligence with vast applicability across the organization.2018-19 : Implemented the model and methodology to offer Transaction Cost Analysis reporting to clients, in full compliance with new MiFiD II best execution directives.
Geneva
• Computation of Solvency II Market Risk Capital Requirements for the bank’s traded funds andasset classes contained within.• Quantitative and Risk Advisory, Software Development and Database Management.• Portfolio Management for the Investment Committee.
Nyon
Research and development of intra-day trading strategies based on stocks and future contracts.Implementation of algorithmic trading mechanisms used to detect investment opportunities. Discretionary trading and management of a systematic portfolio.
Lausanne
Monte Carlo Simulations, Data Analysis, Asset and Derivative Pricings and Financial Engineering using R-Statistic software.
Epfl
Robust volatility estimation and analysis of market data and simulated data.
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Daniel Madan works for Indépendant.
Daniel Madan is listed as Algorithmic Trader at Indépendant.
AeroLeads has found 1 work email signal at @ubp.com for Daniel Madan at Indépendant.
Daniel Madan is based in Lausanne, Vaud, Switzerland while working with Indépendant.
Daniel Madan has worked for Indépendant, Pictet Group, Union Bancaire Privée - Ubp, Société De Gestion Financière Et Commerciale, and Global Financial Products.
You can use AeroLeads to view verified contact signals for Daniel Madan at Indépendant, including work email, phone, and LinkedIn data when available.
Daniel Madan holds Master Of Science In Finance, Financial Engineering from Hec Lausanne - School Of Business.
Daniel Madan is listed with skills including Trading, Trading System, Finance Quantitative, Numerical Simulation, Trading Strategies, Derivatives, Quantitative Finance, and Quantitative Modeling.
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