Product Manager

Company Description

You’re talented and adaptable. That’s why you’ll fit in.As well as discovering, mining and processing many of the essential raw materials that enable, support and enhance modern life, our global business is involved in selling and marketing products – copper, platinum and other precious metals, iron ore, coal, nickel and diamonds. Through our Marketing Business, we are able to offer innovative solutions to meet our customers’ specific challenges. This includes physical products, logistics and technical support, as well as pricing and financing solutions.Job Description

What you’ll doThe Product Manager - Trading Analytics & Insightswill be responsible for leading the Trading Analytics & Insights Team under Digital & Innovation to develop optimisation solutions, statistical trading models and machine learning algorithms to help physical and financial traders and supply chain groups to use the business & external (including alternative) data to make better and more timely trading decisions to maximize the financial results.The role works closely with commodity marketing and trading desks, Digital & Innovation Data Scientists and Technology teams and other stakeholders to innovate, develop, build and implement digital initiatives which optimize commercial performance.Performance & DeliveryProduct Portfolio Management and LeadershipAccountable for business and product outcomes for entire product portfolio in Trading domain with Trading Analytics & Insights products and services for all of Marketing’s trading P/L enablement. This enables outcomes for the entire trading lifecycle – Portfolio construction, deal valuation, Actualization and post actualisation analytics product and services.Accountable for unlocking the value of data analytics and emerging technology / Artificial Intelligence to empower traders in both strategic and operational decision-making for optimizing our trading portfolios and taking data-informed risks.Build the product portfolio and drive direction and commercial value of individual products and overall portfolio for all 6 trading CMTs. Enable direct commercial value via building a trading asset which becomes Marketing’s Intellectual property.Establish the go-to-commercial value plan and guide team to launch for the entire portfolio of productsCommercial accountability for the monetisation of the entire portfolio including value attribution to CMTs.Vision, Strategy, and user-centric approachSingle point of accountability for the vision and strategy for all products in product portfolio mentioned above.Gain a deep understanding of user/customer needs and experience at a portfolio level, identify and fill product gaps and generate new ideas that improve customer experience and drive product growth.For the entire portfolio, accountable for a user centric product vision and creating buy-in for the vision with key internal stakeholders.Ensure frequent, transparent, clear, and relatable updates to business and functional stakeholders.Keep a lookout and build good understanding of external competitive landscape of the product portfolio area.Business Partnering / PartnershipSupports relevant CMT/ functional group on representing the entire Digital & Innovation team and portfolio initiatives to support business strategy.Initiate working relationships beyond immediate team, fostering collaboration, innovation, and synergies for the Marketing BU.Develop deep understanding of the business unit strategy and outcomes, share with the Digital team, and develop outcomes.Lead by example to embed the Digital & Innovation strategy and vision and unblock barriers to progress in the relevant CMT/functional area.Concept Development and Delivery (via Data Scientists and Engineering team)Prioritise and deliver a portfolio of product delivery in the Trading Analytics & Insights area to create incremental financial value for related commodity desks every year.Form Agile delivery Teams to deliver outcomes. Assign and guide delivery managers/Leads with a clear product vision. Work collaboratively with Software Engineering Manager to resource delivery teams.Work closely with stakeholders from across the Marketing Business unit but especially with the external customers and relevant internal stakeholders (Traders) to understand the outcomes that they are trying to achieve. Relevant domains: Trading – Physical & Financial.Perform exploratory data analysis, using Python, and provide rapid iterations of analysis to refine posed problems, and identify potential solutions. Maximize insight into a data set; uncover underlying structure; extract important variables; detect outliers and anomalies; test underlying assumptions; develop parsimonious models; and determine optimal factor settings.Develop mathematical and statistical models/ algorithms and/or machine learning algorithms to analyse data and address business decisions.Work with commercial business stakeholders on reporting results from analytics tools and improve the models. Relate the results with the financial performance of the desk and suggest improvement areas.Influence your teams and cross-functional partners towards alignment and execution.Become a key contributor and organizational point of contact for the product area to maintain influence and alignment.Combine thoughtful experimentation and iteration to find the ideas that resonate with users.Define metrics and KPIs used to measure the success of the features your team builds.Get to know important collaborators at multiple levels of the organization to build rapport and represent the product belief in a broader business context.Research and track industry trends and the competitive landscape as they pertain to the product area.Leverage learnings from across relevant team and contribute the development of a high calibre product management capabilityQualifications

What we’re looking forRequired: PhD + 10 years relevant experience or MSc + 15 years relevant experienceRequired field of qualification: Physics, Mathematics, Engineering or Computer Science (Strong statistics background).Required: Advanced Optimisation knowledge and machine learning and deep learning experience. Working knowledge of common machine learning algorithms including logistic regressions, SVMs, Neural NetworksAgile Project delivery experienceRole-specific knowledge:Required: Deep knowledge in Commodities markets or trading / Risk ManagementExtensive experience applying mathematical / statistical modelling. Experience on various models and skill to select one which fits to the problem best.Awareness of coding with PythonDigital Product design and development and Design ThinkingAdditional Information

Who we areAnglo American is a global diversified mining business. Our portfolio of world-class mining operations provides the metals and minerals that make modern life possible. We use innovative practices and the latest technologies to discover new resources and mine, process, move and market our products to our customers around the world.As a responsible miner – of diamonds (through De Beers), copper, platinum and other precious metals, iron ore, coal and nickel – we are the custodians of what are precious natural resources. We work together with our key partners and stakeholders to unlock the sustainable value that those resources represent for our shareholders, the communities and countries in which we operate and for society at large. Anglo American is re-imagining mining to improve people’s lives.What we offerCompetitive salary and benefits packageAmazing opportunities for learning and growth - from technical training to leadership programs, we bring out the best in our peopleWe’re a large, successful multinational company and there are plenty of opportunities internally to move onwards and upwards tooInclusion and DiversityAnglo American is an equal opportunities employer. We are committed to promoting an inclusive and diverse workplace where we value and respect every colleague for who they are and provide equality of opportunity so that everyone can fulfil their potential.How to applyTo apply for this role, please complete our online application form. You will have the opportunity to upload your CV and other relevant documentation as part of this process.#LI-CR2

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