Anukool Khangat

Product Manager

Pune, Maharashtra, India9 yrs experience

Key Highlights

  • Expert in Financial Risk Management and Quantitative Analytics.
  • Proven track record in data-driven decision making.
  • Skilled in Python for financial modeling and risk assessment.
Stackforce AI infers this person is a Fintech professional with expertise in risk management and quantitative analytics.

Contact

Skills

Core Skills

Financial Risk ManagementRisk ManagementQuantitative FinanceData AnalysisLogistics Optimization

Other Skills

Adobe IllustratorAdobe PhotoshopAdobe Premiere ProAppianCCredit Risk ManagementData AnalyticsDerivativesDevOpsEngineFRTBFinancial AnalysisFinancial ModelingGoogle Maps APIHTML

About

With a dual degree in Aerospace Engineering from IIT Kharagpur and a certification in Financial Risk Management (FRM). I have developed and implemented Python-based solutions to streamline capital charge calculations, improve data quality, and identify key risk factors for various portfolios. I have also used Monte-Carlo simulations, time-series models, and data analytics to enhance sales prediction for different clients. My core competencies include data analysis, Risk management, and python.

Experience

Wells fargo

AVP Quantitative Analytics Specialist

May 2024Present · 1 yr 10 mos · Hyderabad, Telangana, India · Hybrid

Kpmg india

Assistant Manager

Jun 2023May 2024 · 11 mos · Mumbai, Maharashtra, India · Hybrid

MurexDerivativesRisk ModelingModel ValidationFRTBFinancial Risk Management+4

Barclays

Business Analyst 4

Aug 2020Jun 2023 · 2 yrs 10 mos · Pune, Maharashtra, India

  • FRTB-SA Analyst on Risk India Services to streamline capital charge (CC) calculations from Quarter-wise to daily level
  • Working on Hypothetical Portfolio Exercise (HPE) to calculate market risk matrix for submission to ISDA and GARP using pivots in python
  • Developed Python based solutions to find missing and incorrect data translation from desk to bucket level, enabling data quality improvement
  • Developed methodologies to find out key risk factors for non-securitized credit portfolios enabling accurate CC calculation using Standard Approach
  • Incorporated Monte-Carlo simulations to calculate Default Risk Charge (DRC) for credit risk on top of Capital Charge using python-QA libraries
AppianMachine LearningDerivativesJiraPythonRisk Modeling+10

Future group india

Business Analyst

May 2019Jul 2019 · 2 mos · Mumbai Area, India

  • Investigated reasons for higher SKU stock out cases, worked on reducing it by improving sales prediction & optimizing transport routes
  • Constructed a time-series model for weekly sales prediction of 2500 SKU-sites combination for Mumbai region FMCG stores
  • Used an ensemble of ANN, LSTM, Prophet model with holidays adjustment and hierarchical time series models based on ARIMA
  • Reduced Mean Absolute Percentage Error (MAPE) from 43.33% to 6.29% across all the time series for next two week's prediction
  • Optimized transportation route from Mother Distribution Center to Retail Stores using google maps API to save 14,000 km of daily travel
Quantitative AnalyticsMarket Risk

Ad design gc 2018-19

Team Captain

Sep 2018Oct 2018 · 1 mo · Patel Hall, IIT Kharagpur

  • Won Silver medal after 5 years among 15 teams while governing a team of 25 students in Inter Hall Ad design Competition 2018-19
  • Presented a marketing campaign inclusive of VIdeo AD, Radio AD, Posters and innovative pre &post app launch idea to the client

Wipro limited

Star Intern

May 2018Jul 2018 · 2 mos · Bengaluru Area, India

  • 1. IoT simulation using AWS cloud.
  • 2. Live sign language recognition from personal webcam using Open CV.
  • 3. Automation of data conversion from json to xls format.

Insanalytics

Private Consultant

May 2017Jan 2019 · 1 yr 8 mos · NewTown, Kolkata

  • Chat-bot creation using Intent-Entity classification:-
  • Classified intent using Navies Bayes classifier
  • Sub-classified the data Entity data (268 classes) using TF-IDF and Co-sine Similarity
  • Spell check using customized dictionary with over 2000 words.
  • Query expansion support using Word2Vec.
  • Self improving model with intial accuracy of 77%.
  • Financial time series prediction using ARIMA modelling:-
  • Tested if data is stationary using augmented Dickey–Fuller test (ADF) and converted non-stationary data to stationary by optimizing the derivative (d) value.
  • Optimised ARIMA model parameters (p &q) by observing Akaike Information Criteria (AIC) values
  • Online reputation management for Exide Industries Ltd:-
  • Presented ways improve online reputation by Social media management
  • Provided an structure of Social media management team and devised social media policy and guidelines

Team kart

3 roles

Engine Team Member

Jul 2016Dec 2017 · 1 yr 5 mos · IIT Kharagpur

  • Worked on Engine Tuning, Designing of intake and exhaust by RAM Theory, Developing e-NTU based mathematical model to calculate thermodynamics efficiency of it, Optimisation and designing of fuel tank.

Media and Video Editing Head

May 2016Nov 2017 · 1 yr 6 mos · IIT Kharagpur

  • Making of Teaser for K-3 launch, Handling of Team Photoshoot

Trainee

Aug 2015Jul 2016 · 11 mos · IIT Kharagpur

Education

Indian Institute of Technology, Kharagpur

Dual degree (Btech+Mtech) — Aerospace Engineering

Jan 2015Jan 2020

Ryan International School, Jaipur

High School — Mathematics

Jan 2010Jan 2014

Stackforce found 100+ more professionals with Financial Risk Management & Risk Management

Explore similar profiles based on matching skills and experience