Data Scientist – Risk

  • Jornada Completa
  • LinkedIn
  • Madrid

McKinsey & Company

Data Scientist – Risk

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Qualifications

  • Master’s degree or PhD level in a quantitative discipline such as computer science (especially machine learning), applied mathematics, behavioral economics, quantitative finance, industrial engineering or equivalent practitioner experience
  • 2+ years of relevant experience involving commodity/FX markets preferred
  • Experience writing clean, efficient Python code involving ETL processes, data manipulation, and standard data science packages (e.g. scipy, numpy, pandas, sklearn)
  • Experience applying advanced analytical and statistical methods to solve business problems involving commodity/FX markets
  • Experience developing trading or hedging strategies (especially physical/cash markets) or price-discovery analysis in ags, softs, basic materials, energy and/or FX markets preferred
  • Experience creating and implementing machine-learning models and dealing with large data sets (e.g. time series/econometrics models, linear models with regularization algorithm, classification algorithms like random forest, support vector machine or LGBM) preferred
  • Experience working with production level IDEs (e.g. Visual Studio, PyCharm), interactive IDEs (e.g. spyder, Jupyter) and version control (e.g. git, svn) preferred
  • Ability to explain nuances of commodity/FX markets and complex analytical concepts to people from other fields
  • Creative, naturally curious and willing to take intellectual risks
  • Excited to work collaboratively across different McKinsey and client teams
  • Comfortable working under competing, quickly changing priorities
  • Willingness to travel up to 50% (pending return to travel)

What You’ll Do

You will leverage market knowledge and analytical expertise to provide insights both to clients as part of client service teams and within our team by strengthening the core products and algorithms we build for clients.

In this role, your time will be spent on delivering impact to clients (either remotely or on site, when in-person travel resumes) and building up ACRE’s core analytical offerings in our Denver office (once in-person office attendance resumes).

As a member of client service teams, you will leverage your creativity and problem-solving skills to tackle clients’ most pressing issues using an analytical lens, meeting client needs and communicating your work to executive audiences. Client counterparts span a wide range of audiences and functions from treasury and risk professionals, marketing & sales teams, procurement category managers, to high-level stakeholders (e.g. CFO).

When working internally, you will build innovative algorithms and products (what we call “IP development”) to best meet our most common client needs, from building price forecasting models for commodities markets to brainstorming and developing new offers and solutions to support future clients. You will also work with our engineers to design new interfaces to deliver faster, more impactful insights to our clients.

Your work on the team will primarily be in applying advanced analytics to enable better commodity and FX risk management decisions. For example, you might work as the lead in maintaining and expanding existing hedging strategies by re-training existing models through process-driven approaches. You might also modify and improve algorithm performance across market regimes by introducing new features, data sources and modelling approaches. You will rapidly identify opportunities for our clients to increase earnings potential and reduce downside risk by back testing various risk management strategies. You will co-build bespoke tools with client data science teams that tailor machine-learning algorithms to attain an optimal balance of earnings and volatility given clients’ risk appetite and capital constraints. You will collaborate with and train cross-functional client teams to instill long-lasting capabilities and ensure new decision-making models are embraced by organizations.

As part of McKinsey, you will receive best-in-class training in structuring business problems and serving as a client adviser and have opportunities to work closely with and learn from our senior commodity and risk practitioners, as well as industry players that are shaping the future of commodity markets and trading. You will get access to unparalleled career acceleration, with a huge amount of ownership and responsibility from the get-go in a collaborative, diverse, non-hierarchical environment. You will get the opportunity to travel to client sites, locally and around the world (once travel resumes). Lastly, you will be able to provide direct and measurable impact to some of the largest organizations in agribusiness, materials, energy, industrial and consumer foods sectors around the globe.

We encourage you to submit a concise cover letter about why you believe that you are a unique fit for our team and what we do! We will read it.

Who You’ll Work With

You will be based in our Sao Paolo, Brazil office as part of McKinsey’s agricultural analytics team (ACRE), McKinsey’s Risk practice and client service teams that support clients across sectors and geographies.

CommodityFX Analytics helps commodity consumers and producers across agriculture, basic materials, and energy sectors identify, measure and optimize their price risk exposure to commodity and FX markets with data science.

Our Risk practice supports clients in many different industries facing challenges of developing and implementing tailored concepts for risk recognition, measurement, and control. Facing extreme volatility in financial and commodity markets, more and more of our clients are realizing that effective, risk-informed strategy can offer a major source of competitive advantage.

Our Agriculture practice advises agribusiness, consumer food, government, and investor clients on strategic, marketing & sales, and operations issues, helping support industry-shaping decisions that impact the future of global food production.

ACRE is a team of ~45 expert consultants, data scientists and engineers focused on bringing cutting-edge analytics to agriculture & related clients. ACRE is an agile team within the firm whose goal is to use the latest analytical methods, incubate new technologies and drive innovative ways to develop new opportunities for the firm to make significant and lasting client impact – redefining what it means to provide the “best of the firm” to our clients.

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