Trading Product Analyst

Описание

SODIK UMURZAKOV
siumurzakov@edu.hse.ru , +7(919) - 103 - 62 - 60 , citizenship: Russia
Moscow, Russia
EDUCATION
2019 – 2021
(expected)
International College of Economics and Finance, National Research University Higher School of
Economics
Under academic direction of London School of Economics (LSE)
MSc in Financial Economics
Relevant courses: Microeconomics, Macroeconomics, Econometrics (TS and PD), Mathematics ,
Financial Economics (Asset Pricing, Corporate Finance), ML, Financial Econometrics, Derivatives
P aper in Macr oe conomi cs : Heterogenous Agents in a DSGE model (supervisor PhD in Economics M.
Udara Peiris , University of Oxford)
2015 – 2017 National Research University Higher School of Economics, Faculty of Social Sciences
Economic Development, MSc in Social Sciences (Moscow, Russia)
ADDITIONAL Centre of Mathematical Finance, Quantitative Analy sis ( MSU , Russia, 2020)
• Options trading: Algorithmic Strategies, Derivatives Pricing, Options Trading Practice
• Gained Skills: Brain Teasers, Interview Preparation, Case study
• Data analysis: Applied Econometrics 1 - 2, Machine Learning, Ap plied Topics in Data Analysis
• Instruments: Structural Products, Quantitative Analysis, Financial Mathematics, Risk management

ICEF Elective courses:
1. Big Data, ML and Financial Analytics using Python : Classifier & Regression (CV, K - nearest, DT,
LASSO, Ridge regression ) . Deep Learning ( Neural Network )
2. Applied Quantitative Finance : Advanced Monte - Carlo and Deterministic Pricing Methods , Risk -
management applications
4. R Programming : Volatility Modelling , Market Risk, Credit Risk and Portfolio Management
3. Intermediate ML in Python (2019), Time Series Analysis in Python (2020), DataCamp
PROFESSIONAL EXPERIENCE
05.2020 –
0 9 .2020
Fort Ross Ventures (CA, USA) , Remote Data specialist
• Data mining in Fintech during lockdown Covid - 19 for start - ups
• Writing analytical reports of the Global Markets in Fintech industries
11.201 9 –
Present
PhD preparation with Professor M. Udara Peiris (ICEF HSE, Moscow, 201 9 - 2 021 )
• RBC model with representative agent, NK model with wage rigidities .
• RBC model with heterogenous agents .
• Bayesian Estimation of a DSGE model (small - scale NK model ) .
• A Medium - Scale New Keynesian DSGE Model
11.2017 –
10 .2019
Lt d Fix price (Moscow, Russia)
Financial Department, Financial analyst
• Forecasting and scenario modelling of the key economic indicators of the Company; Penetrated a
comprehensive analysis system of the key economic indicators of the Company (P&L, CF, BS), risk
assessment; Provided daily a comprehensive analysis of the financial performance of the Company
and its competi tors ;
• Designed investment strategy for different regions of Russia for marketplace 2018 and built financial
models to penetrate; Improved daily reporting from sales and costs data collection system of the
Company; Participated in investment development s trategy for Far East and Kazakhstan retail
markets.
03.2017 –
10.2017
Ltd “DaStrategiya” (Moscow, Russia)
GRI and Department, Consultant
• Analysed the annual reports of public Russian and foreign companies in GRI and
• Made commercial offers Companies to PSC “Uralkhim”, PSC “Seligdar”, PSC “Rosatom”
• Participated in publishing sustainable development report for OJSC “Setevaya Kompaniya”

02.2017 –
03.2017
ISAR, Institute for strategic risk analysis in decision making (Moscow, Russia)
Non - financial Risk Management Department, Intern
• Managed database of more than 6000 top - managers from www.linkedin.com
• Penetration of CRM system for ISAR with client relations
• Analysed non - financial risks of Companies as OJSC Rosnano and JSC RVC
RESEARCH EXPERIANCE


05.2017
08.2017
Financial University under the Government of Russia (Moscow, Russia )
XIII - International Conference “CRS and Business ethics”, Paper topic: Features of CRS in Russian
public companies
Published paper: The of Russian public companies in promoting economic
development in nanotechnology and venture capital industries: success o r failure?
BUSINESS & LEADERSHIP EXPERIENCE
2015 – 2016 Changellenge Cup Russia Case Competition (2015) – participant
Changellenge Cup Moscow Case Competition (2016) – High Quality Award (top 25%)
SKILLS & INTERESTS
Computer
skills
Bloomberg, LaTeX, MATLAB ( Dynare), R, Python ( competent ) , SQL ( basic)
Languages English ( IELTS Academic 7 / 9 , 20 21 ), Russian (native), Uzbek (second native)
Interests Football , art and languages, psychology, cook Uzbek dishes