Overview
Job Profile Summary???????An opportunity for a Quantitative Analyst, working under the mentorship of a more experienced Quant, you will design and build solutions to ambitious business problems in a highly multifaceted commercial environment.
The Quantitative Analytics team is a global team located on BP’s commodity trading floors and the team has a directive to provide quantitative modelling and support to energy trading and commercial teams within the BP trading organization.
Option pricing, statistical analysis, hedging strategies and real option valuations of physical assets or contractual terms are the team’s main focus.
The team works closely with traders, structurers, originators and trading desk market analysts to contribute to the business.
Key Accountabilities
You will build direct relationships with key Customers trading, structuring, origination, understand their business requirements and immediate goals.
You will partner with our sister analytics, risk and technology teams to provide impactful crossdiscipline solutions.
Implement crosscommodity modelling algorithms in BP’s proprietary energy derivatives valuation library, expansive of stochastic price processes and calibration methodologies.
Employ “Dev Ops” software development practices for the safe, agile production of industrial strength code.
Job AdvertEssential Experience
Stochastic calculus, probability theory and Levy processes, and associated numerical methods for their practical implementation, including advanced Monte Carlo methods, transform techniques and PDEs.
Dependency modeling, including copulas and co integration approaches.
Optimization and Stochastic Control.
C++ 11 and Python 3.
0 programming languages.
Advanced numerical algorithms and computational complexity.
Boost, NumPy and scikit learn.
Other essential skills
Market Risk Metrics, Inclusive of VaR and expected shortfallDesirable Criteria and Qualification
Knowledge of the UK and European Natural Gas markets, power, coal, crude oil and refined products, LNG and environmental products, FX and metals.
To include both paper and physical.
Market risk metrics, including VaR and Expected Shortfall.
Data science knowledge.
To include econometrics, OLS and Lasso, Logistic Regression, CART and Random Forests, SVMs, NNs, Radial Basis Functions and Kernel methods.
Regularization and validation.
Key Competencies
Keen commercial acumen.
Strong written and verbal communication skills.
Impactful in aligning commercial and functional partnersStrong interpersonal and networking skills, the ability to build a rapport with a team of analysts across disciplines, geographies and commoditylines.
EntityTrading & ShippingJob Family GroupSupply & Trading GroupRelocation availableNoTravel requiredNoTime TypeFull timeCountryUnited KingdomAbout BPTRADING & SHIPPINGOur purpose is to bring together people, energy and markets to power and navigate a changing world.
In a time of constant change and possibility we need new talent to pursue commercial opportunities, fuelled by worldclass insight and expertise.
We’re always striving for more innovative digital solutions, sustainable outcomes and closer collaboration across our company and beyond, and you could be part of that too.
Together we continue to grow as the world’s leading energy trader.
Join us and help us achieve these goals by
developing and continuously evolving a globally diversified portfolio that accesses new markets, commodities and commercial opportunities collaborating with our business groups to provide innovative commercial and marine solutions that add value to bp’s assets and flows delivering highquality earnings and creating an organisation that is swift to identify and optimise market insights navigating a new era of energy for our planet, by sea acting with respect and integrity at all times, with the people we work with and the markets we operate in maintaining a comprehensive, rigorous and holistic risk control framework that ensures we operate in a safe, compliant and efficient way at all times empowering the deep expertise and leadership of our people
Information Technology
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