samuel krasnik
quantitative research lead
About
Samuel Krasnik is a highly experienced Quantitative Research Lead at Citadel, with a career spanning 19.45 years. With a strong background in Quantitative Finance, Data Science, Algorithms, Machine Learning, and Fixed Income, Samuel is a valuable asset to any organization looking to stay ahead of the curve in the financial industry. As the Head of Equity Core Investment Research at Citadel, Samuel is responsible for managing cross-functional teams and driving innovation in the field of quantitative research. He has a proven track record of success in this role, having previously held senior positions at Goldman Sachs and JP Morgan. At Goldman Sachs, Samuel served as Managing Director and Head of Franchise Analytics, Strategy, and Technology (FAST) for Global Markets. In this role, he was responsible for overseeing the development and implementation of advanced analytical models and tools to support the firm's trading and risk management activities. Prior to his time at Goldman Sachs, Samuel worked as an Associate in Quantitative Mortgage Research at JP Morgan. In this role, he developed and implemented quantitative models to support the firm's mortgage trading activities. Samuel's technical expertise includes Research Scientist, ML, and Data Scientist. He is passionate about using data-driven insights to develop innovative solutions to complex problems in the financial industry. Overall, Samuel Krasnik is a highly skilled and experienced Quantitative Research Lead with a proven track record of success in the financial industry. He is a valuable asset to any organization looking to stay ahead of the curve in the rapidly evolving world of quantitative finance.
Education
• cornell university
Companies
• citadel
• goldman sachs
• jp morgan
• bear stearns companies
• lockheed martin
• cornell university
Experience
19.4 Years
Experience
Skills
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Algorithms
algorithms
analytics
Bayesian methods
bayesian methods
Bond Markets
bond markets
C
c
C++
c++
Capital Markets
capital markets
CDS
cds
Credit
credit
Credit Risk
credit risk
Data Science
data science
Data Scientist
Derivatives
derivatives
Distributed Systems
distributed systems
Econometric Modeling
econometric modeling
Fixed Income
fixed income
Liquidity Risk
liquidity risk
Machine Learning
machine learning
Machine Learning (ML)
Machine Vision
machine vision
Quantitative Finance
quantitative finance
Real Time System Design
real time system design
Research
Research Scientist
Risk Management
risk management
Scenario Analysis
scenario analysis
Statistical Data Analysis
statistical data analysis
strategy
Contact Details
Email (Verified)
samXXXXXXXXXXXXXXXomMobile Number
+17XXXXXXX41Education
cornell university
BS
2002 - 2005
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