Naveen Kumar

AI Researcher

Santa Clara, California, United States13 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Developed machine learning systems for financial asset allocation.
  • Led research teams on advanced machine learning projects.
  • Recognized for outstanding contributions in risk management.
Stackforce AI infers this person is a Fintech expert specializing in machine learning and risk management.

Contact

Skills

Core Skills

Machine LearningRisk ManagementFinancial Analysis

Other Skills

BacktestingExecutionTeam ManagementData AnalysisJavaRPythonCredit Risk AnalysisSQLFinancial ModelingComputer ScienceAnalyticsBusiness AnalysisCapital MarketsData Mining

About

I am a machine learning specialist with about 5 years of Experience. I worked in an algorithmic trading startup from day one creating a lot of initial systems on which fund was built. I am proficient in writing code(Java), analyzing data with high level tools(R, Python), building prototype(Excel) and most importantly understanding underlying business elements. I put a lot of energy in my work and have been commended both formally and informally for extraordinary efforts put in projects. I am fascinated by extraordinary developments happening in space of deep learning and keeping myself updated with online courses such as deep learning specialization, Tensorflow on GCP etc. Its my dream to be part of this ongoing revolution in a big way.

Experience

Amazon

Applied Scientist

Jan 2018Present · 8 yrs 2 mos · Sunnyvale

Quant one technologies pvt ltd

2 roles

Vice President

Promoted

Jan 2017Jan 2018 · 1 yr · Kolkata Area, India

  • I have been member of Quant One from day 1 of the firm. This provided me opportunity to become Involved in all aspects of a quant strategy development including Ideation, Backtesting, Execution, Risk Management and Monitoring. My major research areas have been Machine learning, Momentum strategy development and systematic Futures portfolio construction. Following are my major projects:-
  • ●Worked on integration of generic portfolio algorithms in Machine learning System modelling expected returns
  • ● Led a team of researchers from top institutes on varied projects
  • ○ Using Bayesian optimization for hyperparameter search in Random forest and ML system
  • ○ Using autoencoder variables in place of PCA generated variables
  • ○ Other projects included usage of Fourier transform, tick data, clustering of assets, feedback system
Machine learningRisk ManagementBacktestingExecutionTeam Management

Quant Research Associate

Jan 2015Jan 2017 · 2 yrs · Kolkata Area, India

  • ● Developed Machine Learning system used for most financial asset allocation decisions in $15mn+ fund
  • ○ System interacted financial assets, custom financial indicators and machine learning algorithm and other
  • trading and risk decisions to arrive at the asset composition. Helped in testing ideas in small time.
  • ○ System was built in Java with help of machine learning libraries in R and Python
  • ● Developed multiple strategies for fund using above Machine Learning system, generating 20%+ returns
  • ● Identified Transaction costs(Slippages) as a major source of uncertainty. Divided problem as costs dependent and
  • independent of our transaction. Modelled both of them improving performance of all strategies
  • ● Involved in hiring, training and mentoring of employees
Machine learningJavaRPythonFinancial Analysis

American express

Analyst, Enterprise Risk Management

Jan 2013Jan 2015 · 2 yrs · Gurgaon

  • I worked in Credit Risk Oversight team under Enterprise Risk Management. My team acted as second line of defense for risk management and was required to work on any credit related issue. My work dealt with working on special projects coming directly from senior management on credit related subjects.
  • Recognition:-
  • Awarded with Analyst of Quarter, Team Superstar and Reward Points, Special Bonus for contribution to different projects and overall work.
  • ● Identified issues in CCAR, a regulatory reporting of capital adequacy for next 9 quarters
  • ○ Coordinated with different teams to assemble different parts of model in a single spreadsheet to experiment
  • with hypotheses from different risk managers
  • ○ My work helped Amex to immediately answer regulators queries. Was rewarded by management
  • ● Built a model for possible balance on credit cards in India business in response to a Regulator(RBI) comment
  • ● Developed bankruptcy forecast model based on Google trends which reduced error by 50% from previous model
  • ● Developed risk policy escalations framework for higher management to identify early signals of portfolio risks
  • ● Took session on Risk management and BASEL capital requirements
Risk ManagementCredit Risk AnalysisData Analysis

Edelweiss capital

Summer Intern

Apr 2012May 2012 · 1 mo · Mumbai Area, India

  • Worked on development and evaluation of strategies for algorithmic trading using technical analysis of Indian securities
  • Analyzed various stocks to develop a model to identify leaders and laggards among various stocks for executing trades

European aeronautic defence and space company

Summer Intern

May 2010Jul 2010 · 2 mos · Munich Area, Germany

  • Worked on digital maps to extract information and to classify a map as forest, crop area, river etc
  • Used it to provide feedback to navigation system of unmanned air vehicles from which images were taken
  • Was graded 10/10 for performance

Education

Indian Institute of Management Ahmedabad

Master of Business Administration - MBA

Jan 2011Jan 2013

Indian Institute of Technology, Kharagpur

Bachelor of Technology (B.Tech.) — Computer Science and Engineering

Jan 2007Jan 2011

St John's Senior Secondary School, Kota

Class XII

Jan 2005Jan 2007

Ramakrishan Mission, Deoghar

Class X

Jan 1999Jan 2005

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