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Applied AI Engineer with 10+ years in Financial Risk Management & Machine Learning
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly accomplished professional with a Master of Science in Financial Engineering and 14.5 years of extensive experience in financial risk management. Proven expertise in developing advanced analytical models, machine learning applications, and large-scale data solutions for commodity, energy, and financial sectors. Skilled in Python, R, SQL, and various econometric and machine learning techniques, with a strong background in risk advisory, valuation, and regulatory compliance.
NEW YORK UNIVERSITY
Master of Science · Financial Engineering
N/A – June 30, 2021
IFMR GRADUATE SCHOOL OF BUSINESS
Post Graduate Diploma · Management in (Finance)
N/A – June 30, 2011
ANNA UNIVERSITY
Bachelor of Technology · Chemical Engineering
N/A – June 30, 2009
VINE ADVISORS
Quant Risk Advisory Manager
October 1, 2022 – Present
Houston, Texas, United States
NOMURA
Analyst, Developer – Risk Engine
February 1, 2022 – October 1, 2022
New York City, New York, United States
METALS HOUSE INC
Part-time intern
September 1, 2021 – December 1, 2021
New York City, New York, United States
NOMURA
Analyst, BA - Summer Intern – Risk Engine
June 1, 2021 – August 1, 2021
New York City, New York, United States
KPMG
Manager, Financial Risk Management Practice
April 1, 2018 – August 1, 2020
Mumbai, Maharashtra, India
KPMG
Assistant Manager, Financial Risk Management Practice
May 1, 2017 – March 1, 2018
Mumbai, Maharashtra, India
THE CLEARING CORPORATION OF INDIA LIMITED
Assistant Manager, Risk Management Department
February 1, 2015 – May 1, 2017
Mumbai, Maharashtra, India
CRISIL GLOBAL RESEARCH AND ANALYTICS
Senior Research Analyst, Risk and Analytics
April 1, 2013 – February 1, 2015
Mumbai, Maharashtra, India
CRISIL GLOBAL RESEARCH AND ANALYTICS
Research Analyst, Risk and Analytics
August 1, 2011 – March 1, 2013
Mumbai, Maharashtra, India
Use the 10K reports for S&P500 companies over the period 2011 through 2020 to create your Corpora and use the returns data from the CRSP database within WRDS to compute the necessary excess returns
January 1, 2021 – December 31, 2021
NYU, NLP – Python, 2021.
Pull down a week's worth of Twitter data on a specific topic such as: 1) Inflation, 2) US-China relations, 3) Energy crisis, 4) Biden approval ratings, or 5) Covid19 and determine how sentiment is changing from day to day within the Twittersphere
January 1, 2021 – December 31, 2021
NYU, NLP - Python, 2021.
Predict whether a company will go bankrupt in the following year, based on financial attributes of the company, using Machine Learning
January 1, 2020 – December 31, 2020
NYU, ML – Python, 2020.
Constructed suitable investment portfolio for a prospective wealth insurance policy holder after assessing risk appetite of investor
January 1, 2011 – December 31, 2011
IFMR - 2011.
Designed a plant for manufacture of 2-Aminobutanol, project included choice of most efficient procedure, design of equipment, layout of plan and financial analysis
January 1, 2009 – December 31, 2009
Anna University – Undergrad – 2009.
FRM Charter-holder
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity is primarily within financial engineering and risk management, which aligns well with an Applied AI Engineer role in a financial context. The academic projects demonstrate initiative in applying ML/NLP to financial data. The breadth of skills (Python, R, SQL, various ML models, financial domain knowledge) suggests adaptability. However, the projects are predominantly academic or highly specialized within finance, which might indicate a narrower scope of experience outside this domain. The lack of open-source contributions or diverse industry projects limits the assessment of broader cultural fit.
Soft Skills & Operational Fit
The candidate's resume indicates strong analytical and problem-solving skills, particularly in complex financial risk scenarios. Experience in leading development initiatives and advisory roles suggests good communication and leadership potential. The detailed descriptions of project work imply a structured and methodical approach to problem-solving. However, without direct assessment data on soft skills or operational fit, this remains an inference.