Mayank Singour

CEO

Mumbai, Maharashtra, India7 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in statistical analysis and financial engineering.
Proficient in machine learning and deep learning applications.
Strong background in market risk analysis and trading strategies.

Stackforce AI infers this person is a Fintech expert with strong capabilities in quantitative analysis and machine learning.

Contact

Skills

Core Skills

Statistical AnalysisFinancial EngineeringMachine LearningDeep LearningMarket Risk AnalysisTrading Strategies

Other Skills

Analytical ReasoningAnalytical SkillsBig Data AnalyticsCC++CommunicationComputer VisionCounterparty RiskCredit Risk Model DocumentationCredit riskData AnalysisData AnalyticsData StructuresFinanceFinancial Markets

Experience

Citi

3 roles

Vice President

Promoted

Sep 2025 – Present · 6 mos · Mumbai, Maharashtra, India

Assistant Vice President

Promoted

Jan 2024 – Oct 2025 · 1 yr 9 mos · Mumbai, Maharashtra, India

Quantitative Analyst

Apr 2021 – Mar 2024 · 2 yrs 11 mos · Mumbai, Maharashtra, India

PySparkPython (Programming Language)Credit riskMarket RiskStatistical AnalysisFinancial Engineering+9

Samsung electronics

Software Engineer

Jul 2019 – Mar 2021 · 1 yr 8 mos · Noida, India

Machine LearningCDeep LearningSystem ArchitectureC++Scripting+3

Futures first

Financial Market Analyst

May 2018 – Jul 2018 · 2 mos · Gurgaon, India

Summer Internship:
Analysed price movements of outrights and spreads of US Cotton and Cocoa over simulator
Used price action strategy and studied chart patterns to analyse previous trends of the market
Employed various technical indicators like MACD, EMA, RSI, Stochastic Oscillator, Bollinger Band, Volume at Price etc. to determine entry/exit positions and stop losses
Did fundamental analysis and analysed the effect of external factors(such as US-China trade war) on price movements of different commodities
Developed profitable strategies using multi variable regression to determine the trend of the market
Analysed weekly inventory and acreage reports which influenced the price of commodity markets.

Market Risk AnalysisStatistical Data AnalysisAnalytical SkillsFinancial MarketsMathematicsReasoning Skills+3

Tomsk polytechnic university

Machine Learning Project

Nov 2017 – Dec 2017 · 1 mo · Tomsk, Russia

Winter Internship :
Implemented Deep Convolutional Generative Adversarial Networks (DCGAN) using keras
Trained on MNIST, CIFAR-10 and CIFAR-100 dataset and achieved good results on each dataset
Generated Images using random noise from Gaussian Distribution along with data augmentation technique

Machine LearningImage ProcessingDeep LearningGenerative Neural NetworksComputer Vision