Why we’ve partnered with Women in data…

bp’s ambition is to represent the world around us, creating a culture of belonging and making a positive contribution to the societies and communities where we operate.  Partnering with Women In Data, and focusing on gender parity, takes us a step closer towards our goal for female representation to have 40% women group leaders and 35% women senior level leaders by 2025.​​​​​​​ We want all our people to know that they can be themselves at work every day. Attracting the best and brightest talent starts with equity and inclusion – for everyone.


Sophia Headdshot Jan22
Dr Sophia Fannon-Howell PhD FVCM
Innovation Lead – bp Trading & Shipping
Liz Beale
Elizabeth Beale
Lead Data Governance Specialist
Jamie Stone
Jamie Stone
Market Analyst, Fundamental Modeling and Innovation
Aramide Adenmosun
Market Strategist
Pei Ling Seah
Pei Ling Seah
Market Analyst, Fundamental Modeling and Innovation

How bp Trading & Shipping sees the data landscape changing in the UK in the next 5 years

The commodity trading data landscape is complex, characterized by a diverse spectrum of structured and unstructured data types spanning a range of update frequencies, from real-time to monthly intervals. Pricing data—spot, futures, and options prices—are highly dynamic, with instantaneous updates reflecting global economic indicators and geopolitical events. Physical data on commodity production and movement, such as oil output levels and agricultural yield forecasts, require consideration of weather patterns, political stability, and technological advancements in extraction and farming techniques. Transactional data, such as vessel positions, trade volumes, and inventory levels, require continuous analysis to effectively identify and predict market trends, while consumer behaviours, news feeds, mortgage approvals, and flight bookings contribute to this multifaceted domain.

As the global economy grows more interconnected, the volume and variety of data influencing commodity markets are expected to grow. The capacity to efficiently and securely store, manage, and interpret this data—in near real-time—is paramount. Enhanced analysis through the increased application of Artificial Intelligence (AI) and Machine Learning (ML) will enable more nuanced predictions and efficient risk management. The evolving digital infrastructure must be both agile and robust, enabling traders to leverage this wealth of information in an increasingly complex market landscape.

about bp Trading & Shipping

bp’s purpose is to reimagine energy for people and our planet. Our ambition to be a net zero company by 2050, or sooner and help the world get to net zero.  As an integrated energy company, we participate in the entire value chain from upstream exploration; production of renewable and low carbon energy, to energy trading.  With one of the world’s most developed commodity trading businesses, bp trading & shipping connects energy producers, suppliers, markets and customers to keep energy flowing today and help build out tomorrow’s energy system. We work with our partners to buy, sell and move energy, integrating our products and services to provide energy solutions for over 12,000 customers in 140+ countries to advance the energy transition and progress towards our net zero ambition. bp strives for more innovative digital solutions, sustainable outcomes and closer collaboration across bp and beyond. We continue to grow as the world’s leading energy trader, optimizing flows, managing price risk and developing customer solutions to decarbonize our business.

Expertise: data analytics, data management, product management, digital transformation, technical strategy and leadership

Education: PhD Geology, BSc Hons Geology – Manchester University, FCVM Hons Acting

LinkedIn: https://www.linkedin.com/in/sophia-fannon-howell-data-analytics/

Sophia leads early-life digital product innovation for bp’s Trading and Shipping business.  She advocates for diversity and inclusion, especially for women in technology and STEM. As a STEM mentor Sophia promotes a work culture based on collaboration, trust, psychological safety and learning.

Beyond her career, Sophia is mum to 2 teenagers, has a passion for animal welfare and is a trustee of the British Hen Welfare Trust, spearheading the work to enable the charity to become data driven and make a greater impact.

Expertise: AI, Data, Governance, Financial Trading, Energy, ML, Risk, Legal, Regulatory and Compliance.

Education: MS AI and Digital Solutions Bath University. Algorithmic Trading Oxford Saïd Business School. EMC Data science Associate. BSc Hons Economics Staffordshire University. CISI (Chartered Institute for Securities and Investments) Compliance Diploma, Capital Markets Regulation Diploma (FINRA), Investment Research Diploma (FINRA), Conflicts of Interest Diploma (FINRA)

LinkedIn:  linkedin.com/in/elizabeth-beale-8447551a

Elizabeth (Liz) Beale is a Lead Data Governance Specialist in BP’s Trading and Shipping. Her focus lies in AI, Data Governance, Ethics, Compliance and Financial Trading, where she leverages innovation and analytics to drive success in dynamic markets. This shapes responsible and efficient trading practices within existing ethical and legal frameworks.

Expertise: energy markets, statistical modeling, Agile transformation

Education: Bachelors in Physics, with minors in Statistics and Financial Computation and Modeling

LinkedIn:  http://linkedin.com/in/jamie-stone-ba780475

Jamie loves complex problem solving and working with data. She has spent her entire post-college career with bp, in roles in Analytics on our trade floors in Houston and Chicago. Jamie is currently working on an advanced modeling team that builds models and tools to help us hone our analytical edge. Her background in physics and statistics fits well within our broader Analytics team, which is full of people with diverse backgrounds and skills. She enjoys working within the fast-paced excitement of the trade floor, while still having the time to dig into the details of complex markets with equally passionate colleagues. Jamie is passionate about inclusion and creating spaces where people can be their whole selves at work. In her spare time, she enjoys reading and aerial hammock.

Expertise: Fundamentals analysis; Data modelling

Education: BA (Hons) Economics

LinkedIn: https://www.linkedin.com/in/aramide-a-605b14125/

Aramide grew up in Lagos, Nigeria and moved to the UK for sixth form ten years ago. Moving continents alone as a teenager could have been daunting, but she reflects that at the time, she was mostly excited for the new adventure – and getting to shop with next day delivery!

Aramide first joined bp on a summer internship placement – which was where she got her first exposure to data science. She admits to not expecting to enjoy it as much as she did, but that was the beginning of a new love. After completing her university degree, Aramide rejoined bp as part of the Analytics Graduate Development Program, which she has since completed. She feels very fortunate to have found a role where she gets to do stimulating work in an environment which supports her to be curious, try new things, and keep growing.

Outside work, Aramide enjoys reading fantasy novels, playing video games, (shopping…,) and spending time with her family!

Expertise: Data analysis and modelling, Agile/scrum, Business analysis, Software development

Education: Bachelor in Computing

LinkedIn: http://linkedin.com/in/pei-ling-seah-b33048110

Pei Ling has held diverse roles in IT throughout her entire career with bp, ranging from project management and software development to business analysis. She is currently embracing a new challenge in Analytics within the Advanced Modelling team in Singapore, where she develops models and tools to support commercial decision-making.

Pei Ling enjoys the intellectual challenge of breaking a business problem down into its root cause, ideating potential solutions and achieving the best outcomes for the business. Her interest in data analytics has grown exponentially over the past few years, particularly in uncovering insights from data and developing data-driven solutions.

Outside of work, Pei Ling loves spending time with her 2.5-year-old toddler. She has also reignited her passion for gymnastics, which provides a fun and empowering way for her to relax and stay active.