Job Description

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 marketing and trading products - copper, platinum and other precious metals, iron ore, coal, nickel and diamonds. Through our Marketing Business and our \'Material Solutions Provide\' strategy, 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.

One of the critical enablers to our success is to embed a new portfolio of digital products and services, innovative concepts, analytics and quantitative research capabilities. The Digital and Innovation Team is an outcome driven team charged with identifying, designing, and implementing digital products and services to enable commercial business value across the marketing and trading value chain using innovative technologies, business models and ecosystem partnerships to uplift their bottom-line results.



PURPOSE

To Lead a team of Quantitative research and implementation Principals to develop statistical & data driven trading models and machine learning algorithms to help systematic traders make trading decisions to maximize financial results. To lead the establishment and development of a crucial capability that unlocks the next phase of commercial growth for all CMTs in AA Marketing.

Empowered to be at the forefront of Quantitative research future horizons (horizon 1-4) including emerging Data science & Artificial Intelligence advances, statistical and rule-based advances in addition to keeping a pulse on the commodity trading market advances.

Typical activities include but not limited to: Leading Quant research for AA Marketing, Establishing the Quant implementation framework for trading, work closely with all commodity marketing and trading desks, to identify, develop, build and implement models which deliver commercial performance.

KEY TASKS

Quant Research Portfolio Management and Leadership

• Accountable for enabling business outcomes for entire Quant Research & implementation portfolio in systematic trading domain leading to Marketing\'s systematic trading P/L enablement. This includes enabling outcomes by implementing a diversified model portfolio across the commodity landscape.
• Accountable for unlocking the value of data analytics, statistics and emerging technology / Artificial Intelligence to enable a diversified systematic trading model portfolio
• Build the model portfolio and drive direction and commercial value of overall portfolio for all 6 trading CMTs.
• Establish the research implementation framework and guide team to launch for the entire portfolio of models.
• Commercial accountability for the monetisation of the entire portfolio including value attribution to CMTs.

Determining Strategy & Vision

• Single point of accountability for the research vision and strategy enablement for entire Quantitative Research & Implementation portfolio.
• Influence, shape and execute on systematic trading strategies in relevant global commodity markets.
• Explore new innovative solution / approaches with the power of Quantitative technologies and data science which would create a competitive advantage for Marketing BU

Business Partnering / Partnership

• Supports 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 Principal Data Scientists and Software Engineering Team)

• Lead the Research and implementation of Quantitative strategies for Systematic Trading desks. Quantitative research underlines the strategy and approach and as such it involves leadership and development of quant driven analytics triggering market signals to drive decision-making process.
• Develop and build ideas, signals and concepts into models that are back tested to see potential performance. Utilizing market signals such as price volatility and changes in trade volume to detect market trends.
• Work collaboratively with the Quantitative traders in the systematic trading commodity desks.
• 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 trading decisions.
• Lead and supervise Principal Data Scientists / Data Engineers / Developers in developing and deploying production workflows for taking data in real-time or periodically from sites / business functions, passing the data through the developed models and producing the relevant reporting without human intervention.
• Work with commercial business stakeholders on reporting results from the portfolio and improve the models. Relate the results with the financial performance of the desk and suggest improvement areas.
• Ensure that solutions are aligned to group standards (including Anglo American Security and Operating Standards).

Qualifications

• Required field of qualification: Physics, Mathematics, Quantitative Finance or Computer Science (Strong statistics background).
• Required: Advanced machine learning and deep learning experience. Working knowledge of common machine learning algorithms including logistic regressions, SVMs, Neural Networks
• Agile Project delivery experience

Role-specific knowledge:

• Required: In-depth knowledge of commodity markets
• Extensive experience in advanced quantitative and data analysis skills applied to mathematical / statistical modelling.
• Excellent skills in at least one programming language (like Python, Java, C or C++)
• Ability to tackle in-depth research projects, discover creative solutions and communicate complex ideas clearly.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative research, and connect the dots between multiple fields.
• Strong capacity to communicate with technologists, data scientists and traders.
• Proven track record in delivering successful systematic strategies.

Additional Information

Who We Are

Anglo 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 Offer

• Competitive salary and benefits package
• Amazing opportunities for learning and growth - from technical training to leadership programs, we bring out the best in our people
• We\'re a large, successful multinational company and there are plenty of opportunities internally to move onwards and upwards too

Inclusion and Diversity

Anglo 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 Apply

To 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.

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Anglo American