全职 Middle Office Analyst 工作, 薪水 up to SGD 5,000, TOTALENERGIES TRADING ASIA PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

Your missions as a Middle Office Analyst​​​​​​include:

·        Model,value and analyse market risks for trading activities relating to the portfolioof Gas, Power and LNG

·        Controlphysical and financial transactions, transport, storage and currency exchangeoperations and validate prices in computer systems

·        Monitorthe entry of transactions on time, compliance with trading limits and theapplication of the risk policy to ensure the representativeness and integrityof transactions in the systems

·        AnalyseMark to Market valuations, risk positions and realized profits /losses on adaily basis

·        Developand maintain analytical reports on risk positions and trading results fortraders and management

·        Workclosely with Traders, Operations, Back Office and Finance teams to measure andexplain the sources of market risk to which portfolios are exposed

·        Maintainand improve risk models

·        Support,identify and contribute to the improvement of processes and systems

·        Optimisefiles, data processing and data analysis using VBA, Python, Alteryx

·        Retrieveexternal website data (website parsing, API connection, etc)

·        Automatedaily processes

Create and automate dashboards to providevalue-added information to internal stakeholders

REQUIREMENTS

Education and Work Experience

l   Degree qualified in Economics, Finance, Business, Mathematics or Quantitative discipline

l   Experience in the commodities market

l   Knowledge of risk measures (sensitivities, option greeks, VaR, etc)

Essential Qualities

l   High degree of accuracy and efficiency under set deadlines

l   Strong analytical and problem solving skills

l   Data-oriented personality

l   Good interpersonal skills

Technical Skills

l   Proficiency in Excel and PowerPoint

l   Good scripting and programming skills (Python, VBA)

l   Experience with data science tools, such as Pandas, NumPy, Matplotlib, PowerBI