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Nikhil Kashinath Phalak
| (VP) Luxoft-DXC | Ex-Crisil,Credit Suisse,Oracle | IBOR Transition | Yield Curve Analytics | VaR/ES | Machine Learning | Derivatives | FRTB | Python SQL| Market Risk | Asset Management | Monte Carlo |
Education
Companies
• luxoft
• icbc standard bank plc
• mizuho
• ing
• crisil
• citi
• royal holloway university of london
• credit suisse
• chennai mathematical institute
Experience
8 Years
Find anyone’s contact
Experience
(VP) Quant - Senior Business Analyst and Market Risk Analyst
luxoft | London, England, United Kingdom
2023 - Present
Consultant Quant: Senior Business and Market Risk Analyst
icbc standard bank plc | London, England, United Kingdom
2023 - Present
Machine Learning Specialist
royal holloway university of london | London, England, United Kingdom
2018 - 2019
Data Science and Financial Risk Management Specialist
chennai mathematical institute | Chennai, Tamil Nadu, India
2016 - 2017
Skills
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Algorithms
Analytical Skills
Analytics
analytics
Attention to Detail
Balance Sheet Review
Build Strong Relationships
Business Requirements
Buy-side
Data Analysis
Data Integrity
Data Migration
Data Science
Data Scientist
Data Strategies
Data Visualization
Data Wrangling
Datasets
Decision Trees
Decision-Making
Deep Learning
Derivatives
Economic Modeling
Economics
Educational Consulting
Equities
Finance
Forecasting
Golden Source
Hiring
Interest Rates
Machine Learning (ML)
Macros
Market Risk
Mathematical Modeling
Measurements
Monte Carlo
Object-Oriented Programming (OOP)
OOP
optimization
Oral Communication
Organization Skills
Pandas (Software)
Performance Analysis
Performance Monitoring
Principal Component Analysis
Process Efficiency
Production Maintenance
Project Management
Python
Quantitative Finance
Quick Turnaround
Regulatory Capital
Research
Research Scientist
Research Skills
Risk Management
Risk Management Framework
Risk Measurement
Risk Reporting
Risk-Weighted Assets (RWA)
Scenario Analysis
Seaborn
simulations
Soft Skills
Sports
SQL
Stakeholder Management
statistics
test
testing
Time Series Forecasting
Trading
Visualization
Contact Details
Email (Verified)
phnXXXXXXXXXXXomMobile Number
+44XXXXXXXX36Education
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