Indraneel Pise

Associate Consultant

Singapore, Singapore, Singapore7 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Experienced in commodity trading and risk management.
Strong analytical skills with a focus on financial modeling.
Proficient in data analytics and business intelligence tools.

Stackforce AI infers this person is a Commodity Trading and Risk Management expert with strong analytical capabilities.

Contact

Skills

Core Skills

Commodity MarketsRisk ManagementFinancial AnalysisBusiness IntelligenceTrading

Other Skills

AlgorithmsAnalysisAnalyticsApache SparkBusiness AnalysisBusiness DevelopmentCC++CommoditiesCommodity PricingCommodity Risk ManagementData AnalysisData MiningData StructuresDatabases

About

Commodity Trading Consultant at EY MBA from IIM Trichy. B.Tech from IIT Jodhpur.

Experience

Ey-parthenon

2 roles

Manager

Promoted

May 2024 – Present · 1 yr 10 mos

APAC Commodity markets team

FuturesTradingRisk AnalysisProject PlanningProject DeliveryHedging+10

Associate Manager

Oct 2022 – May 2024 · 1 yr 7 mos

APAC Commodity markets team

FuturesTradingRisk AnalysisHedgingPnL ManagementBusiness Development+3

Trafigura

Risk Analyst

Jan 2020 – Oct 2022 · 2 yrs 9 mos · Mumbai, Maharashtra

Fuel deals desk risk analyst

FuturesTradingRisk AnalysisP&L AnalysisHedgingPnL Management+4

Ey

Consultant

Apr 2019 – Jan 2020 · 9 mos · Bangalore

Financial transformation and process improvement consultant

Microsoft Power BIBusiness Intelligence

Singhi advisors

Management Intern

Apr 2018 – May 2018 · 1 mo · Mumbai, Maharashtra, India

Sell-side M&A - Stressed assets team

Uljk financial service limited

Equity Research Intern

Oct 2017 – Feb 2018 · 4 mos · Mumbai Area, India

Valuations and financial modelling intern

Futures first

Trainee Market Analyst

Jun 2016 – Jan 2017 · 7 mos

Short term interest rate trader

FuturesHedgingTrading

Hoonar tekwurks consulting

Summer Intern

May 2015 – Jul 2015 · 2 mos · Pune Area, India

Completed a data analytics project.
Project Details:
The project aimed at identifying a complex event based on the data collected from twitter with a keyword search and analysing the data to display results. The results include the sentiment polarity, emotion level based on six basic emotions viz. joy, sadness, anger, fear, surprise and disgust.