Raja Ambrish

Business Development Executive

Bengaluru, Karnataka, India11 yrs 3 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Achieved a portfolio CALMAR of 10+ as a Proprietary Trader.
  • Led a team to second place in Inter IIT Tech meet 2017.
  • Built predictive models for crude oil pricing at Reliance.
Stackforce AI infers this person is a Fintech Quantitative Trader with strong data science and predictive modeling skills.

Contact

Skills

Core Skills

Quantitative TradingMarket AnalysisPortfolio ManagementData SciencePredictive ModelingTeam ManagementData AnalysisBusiness DevelopmentFinancial ModelingPublic RelationsLeadershipQuantitative ResearchProject ManagementMarketingFinance

Other Skills

Adobe Creative SuiteBacktestingBrand DevelopmentBudget managementBusiness modelingCC++Campaign managementConsultingContent WritingCrypto derivativesCustomer ServiceEconometric modelingEconomicsEntrepreneurship

About

1. Quant Trader with 5+ years experience in various markets - Indian equity markets, Global equity markets,Energy, Livestock, Metals, Softs 2. Working primarily in mid-frequency space and market making in Crude Oil

Experience

11 yrs 3 mos
Total Experience
1 yr 9 mos
Average Tenure
3 yrs 9 mos
Current Experience

Futures first

Quantitative Trader

Jul 2022Present · 3 yrs 9 mos · Bengaluru, Karnataka, India · On-site

  • 1. Trading NASDAQ, DAX, Gasoline spreads, Natural Gas, Crude oil, Coffee, Livestock & Metals market
  • 2. Realized portfolio CALMAR of 6+, profitable over 90% + months since inception
TradingMarket MakingPortfolio ManagementQuantitative TradingMarket Analysis

Delta exchange

Mid Frequency Trader & Quant research

Oct 2021Feb 2022 · 4 mos · India

  • MFT and Quant research role in Crypto derivatives
Crypto derivativesQuant researchQuantitative TradingMarket Analysis

Kuants

Quantitative Researcher

Sep 2019Oct 2020 · 1 yr 1 mo · Gurugram, Haryana, India

Self-employed

Proprietary Trader

Jan 2019Jul 2022 · 3 yrs 6 mos

  • 1. Working with Mid and Low frequency strategies, both directional and non directional on Index & Equity derivatives
  • 2. Realized portfolio CALMAR of 10+
Mid-frequency strategiesEquity derivativesQuantitative TradingPortfolio Management

Reliance industries limited

Data Scientist

Jun 2017Apr 2018 · 10 mos · Mumbai Area, India

  • 1. Merey k Factor prediction model:
  • Built a two factor regression model for predicting Merey k factor; a discount to market price of heavy Merey crude oil which constitutes twenty percent of Reliance’s import basket for the supply and trading team of Reliance
  • 2. Maya k factor prediction model:
  • Built a time series model for predicting Maya k factor, a discount to market price of heavy Maya crude which constitutes significant portion of Reliance’s import basket
  • 3. Investor relations:
  • Build a scrapper for extracting news from financial websites and gauging the sentiment of the markets for investments in Reliance
  • 4. Delta Below Dubai:
  • Built a bottom up model for predicting the three month ahead Delta below Dubai, a metric used by supply and trading team of Reliance to evaluate procurement decisions in annual plan and estimate market sentiment going ahead
  • 5. Brent Dubai spread:
  • Built a threshold model to predict the spread between Brent and Dubai crude oil markers, a figure used to estimate the difference between light and heavy crude oils going ahead for supply and trading team of Reliance
  • 6. Arab Official Selling price:
  • Deployed the prediction model using Rshiny & CSS for the supply and trading team of Reliance\
  • 7. Storage Valuation model:
  • Conceptualized Discounted Cash flow model for valuing the product storage terminals at different locations
Regression modelingTime series analysisSentiment analysisData SciencePredictive Modeling

Iit kharagpur

Contingent Captain, Inter IIT Tech 2017, IIT Kharagpur

Mar 2017Mar 2017 · 0 mo · Kharagpur Area, India

  • 1. Led a 50+ membered team from IIT Kharagpur to second place in Inter IIT Tech meet 2017.
  • 2. Also part of silver winning Stock market Analysis team of IIT Kharagpur
  • 3. PS demanded extraction of relevant news article that best explain stock movements in a day
  • 4. Used Natural Language Processing and financial methods for solving the problem statement
Team leadershipNatural Language ProcessingTeam ManagementData Analysis

Hult prize foundation

Hult Prize Regional Finalist

Mar 2017Mar 2017 · 0 mo · London, United Kingdom

  • 1. Qualified for World Regional Finals at London, only team from India at London
  • 2. Built a business model for white coal business using innovative supply chain solutions
  • 3. Contributions include building the financial & logistical model and the final presentation
Business modelingSupply chain solutionsBusiness DevelopmentFinancial Modeling

Reliance

Data Science Intern

May 2016Jul 2016 · 2 mos · Reliance Corporate Park, Mumbai

  • Two projects that I worked on:
  • 1) Modelling for prediction of official selling price of crude oil imported, reduced the error in predictions
  • 2) Forecasted demand of crude oil products, developed a model within acceptable error limits as demanded by the trading team of RIL
  • 3) Used OLS regression, time series, Lasso and ridge regression for econometric modelling
  • 4) Used tests for autocorrelation, homoscedastcity, Multicollinerity, Non normality, Outlier detection and also used remedial measures if such issues were found in data

Llr hall

Campaign Chairman

Jan 2016Apr 2016 · 3 mos

  • 1. Co led an election campaign to secure 3300 out of 6400 votes
  • 2. Responsible for PR, Online publicity, policy formulation of the campaign process
Predictive modelingEconometric modelingData SciencePredictive Modeling

Iit kharagpur

Events Captain, Inter IIT Tech 2016

Jan 2016Jan 2016 · 0 mo · Kharagpur Area, India

  • 1. Generated Cardinality constrained efficient frontier for five different stock markets
  • 2. Used heuristic methods like Tabu Search, Genetic algorithm, PSO & Simulated Annealing
Public relationsCampaign managementPublic RelationsLeadership

Motilal oswal financial services ltd

Quantitative reasearch intern

Dec 2015Dec 2015 · 0 mo · Mumbai Area, India

  • 1) Back testing of Option strategy Finder on MATLAB
  • 2) RSS news feed analysis to generate signals for the market
Stock market analysisHeuristic methodsData AnalysisFinancial Modeling

Inter iit tech 2015

Head, Events & Finance

Oct 2014Apr 2015 · 6 mos · IIT Kharagpur

  • 1. Prepared and managed a budget of 6 lakhs and managed 4 events
  • 2. Conducted talks by dignitaries - Sam Pitroda, Saloni Malhotra and Hina Shah
BacktestingSignal generationQuantitative ResearchData Analysis

Llr hall

2 roles

General Secretary, Technology

Jul 2014Apr 2015 · 9 mos · IIT Kharagpur

  • Awarded Best General Secretary, Led a three tier team of 80 members for 10 Technology General Championship events
Budget managementEvent managementProject ManagementLeadership

Secretary, TCM

Aug 2013Apr 2014 · 8 mos · IIT Kharagpur

  • Managed events under Technology General Championship and bagged the Application Cup
Team leadershipEvent managementLeadershipProject Management

Mintzone.in

Marketing Intern

Jun 2013Jun 2013 · 0 mo

  • Social Media marketing
PublicityFinanceMarketing

B-club iit kharagpur

Associate Member

Jul 2012Jul 2013 · 1 yr · IIT Kharagpur

  • Finance & Consultancy Club of IIT Kharagpur; Part of publicity team of the flagship event of B-Club.
Event managementTeam coordinationProject ManagementLeadership

Focus pvt ltd

Intern - Buisness Development

Oct 2011Jun 2013 · 1 yr 8 mos · Dhanbad Area, India

  • Teacher & marketing head at Focus, a coaching institute affliated to Resonance, Kota
Social media marketingMarketing

Education

Indian Institute of Technology, Kharagpur

Master of Science (MSc) — Economics

Jan 2012Jan 2017

Delhi Public School, Dhanbad

Jan 2000Jan 2011

CFA Institute

Passed CFA level II in 2016

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