McKinsey & Company

About the Company

McKinsey & Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions.

We work with leading organizations across the private, public and social sectors. Our scale, scope, and knowledge allow us to address problems that no one else can. We have deep functional and industry expertise as well as breadth of geographical reach. We are passionate about taking on immense challenges that matter to our clients and, often, to the world.

We work with our clients as we do with our colleagues. We build their capabilities and leadership skills at every level and every opportunity. We do this to help build internal support, get to real issues, and reach practical recommendations. We bring out the capabilities of clients to fully participate in the process and lead the ongoing work.

Listed Jobs

Company Name

McKinsey & Company

Job Title

Senior Data Scientist - Commodity Trading and Risk Management

Job Description

Who You'll Work With

As a member of the Commodity Analytics team, you will be based in one of the following offices Brussels, Amsterdam, Madrid or Lisbon. You’ll work closely with McKinsey’s Commodity Trading Service Line to support clients across sectors and geographies.

Commodity Analytics helps commodity producers, processors, buyers, and traders across agriculture/softs, metals, energy, and consumer sectors improve commodity price risk capabilities with cutting-edge data science.

The Commodity Trading Service Line at McKinsey supports clients in commodity trading and risk strategy, trading operations transformation, and trading and risk digitization driven by deep trading experts with hands-on trading experience and advanced analytics assets.

Our Risk Practice supports clients in many different industries facing challenges of developing and implementing tailored concepts for risk.

Your Impact

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.

In this role, your work on the team will primarily be in applying advanced analytics to enable better commodity 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; rapidly identify opportunities for our clients to increase earnings potential and reduce downside risk by back testing various risk management strategies; 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; and/or 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.

Your Qualifications and Skills

Undergraduate degree is required; advanced degree in a quantitative discipline such as computer science (especially machine learning), applied mathematics, economics, quantitative finance or engineering is preferred or equivalent practitioner experience
2+ years of commodity markets experience developing trading or hedging strategies (especially physical/cash markets) or price-discovery analysis in basic materials/metals, agriculture, softs, chemicals, plastics or oil & gas preferred
Experience writing clean, efficient Python code involving model development and deployment using state-of-the-art tools and libraries (e.g. scikit-learn, pandas, etc.)
Experience applying advanced analytical and statistical methods to solve business problems involving commodity markets
Ability to explain nuances of commodity markets and complex analytical concepts to people from other fields
Experience working with version control (e.g. Git), shell scripting and Agile methodology

Brussels, Belgium

On site

10-03-2025

Company Name

McKinsey & Company

Job Title

Consultant - Risk & Resilience

Job Description

Who You'll Work With

You will work as part of our global Risk & Resilience Practice supporting clients across many different industries facing challenges that go beyond just managing risk. We help clients by delivering a tailored approach to enhance resilience, create value, and build risk skills and assets. Resilience is more relevant than ever before given the pandemic, climate disasters, cybersecurity breaches, supply chain disruptions, inflation, regulatory actions, and many other issues faced by clients.

We serve clients across industries in a full range of risk areas including credit risk, crisis response, risk data and digitization, operational risk, compliance and controls, enterprise risk management and risk culture, trading and balance sheet risk, risk advanced analytics, and risk and regulation.

Organizations of all kinds today face unprecedented levels and types of risk produced by a diversity of new sources. By developing an effective, risk-informed strategy, we can help our clients offer a major source of competitive advantage. We take a truly global, cross-sector, cross-functional view of risk issues, combining McKinsey’s deep industry insight and strategic skills with a structured risk-management approach, proven methodologies focused on true risk transformation, advanced analytics, and practical implementation.

Your Impact

You will work as a Consultant in our Risk & Resilience Practice in one of our European practice hub locations to help clients embrace uncertainty, embed resilience, and enable growth by developing strategies that are integrated with our clients’ business context and goals to help them better prepare for and manage risks to ensure institutional resilience.

You will work as part of a team of consultants to assist the client in understanding and quantifying risk exposures and evaluating risk strategies.

You will help equip clients to respond to critical vulnerabilities and disruptions by addressing immediate risks and gaps across all dimensions of risk management. Through data and analytics-drive scenario planning and stress-testing, you will partner with clients to build enterprise risk management capabilities, anticipate risks, and identify growth opportunities.

You will help clients translate these insights into action and institutionalize resilience and crisis preparedness across the organization and help embed contingencies within long-term strategies designed to help our clients unlock sustainable growth.

When you join McKinsey as a Consultant, you join a firm that will challenge you and invest heavily in your professional development. You’ll gain new skills and build on the strengths you bring to the firm. McKinsey believes in strengths-based development and coaching, and you’ll receive frequent coaching and mentoring from colleagues. This support includes a senior colleague from the Risk & Resilience Practice who will help you grow and achieve your career goals as well as several weeks of formal training.

Your Qualifications and Skills

Excellent records of academic and professional achievement in the field of risk & resilience
Advanced graduate degree strongly preferred (e.g., Masters, MBA, PhD) with focused in business/economics or a quantitative discipline (statistics, mathematics, or physics)
1-6 years of experience in risk management in any industry sector and/or experience in a consultancy (with risk focus) and/or comparable experience in banking, risk regulation & compliance, capital markets, market risk, treasury & balance sheet management, trust & safety, insurance (actuarial experience with life insurance underwriting exposure and/or M&A actuarial background a plus), non-financial risk and ESG
Exceptional analytical, quantitative and conceptual problem-solving skills
Ability to work collaboratively in a team and create an inclusive environment with people at all levels of an organization
Capability to drive an independent workstream in the context of a broader team project
Ability to communicate complex ideas effectively – both verbally and in writing – in English and the local office language(s)
Willingness to travel

Brussels, Belgium

On site

12-03-2025

Company Name

McKinsey & Company

Job Title

Associate - McKinsey Digital

Job Description

Who You'll Work With

You’ll join McKinsey Digital practice in our Paris office. This group brings together the best of McKinsey’s digital capabilities to help our clients use technology to transform their businesses.

As part of this global team, you'll be working on everything from advanced analytics, agile, cloud, cybersecurity and organisation transformation.

You’ll typically work on projects across all industries and functions and will be fully integrated with the rest of our global firm.You’ll also work with colleagues from across McKinsey & Company to help our clients deliver breakthrough products, experiences and businesses, both on technology and non-technology topics.

When you join McKinsey, you are joining a firm whose culture is distinctive and inclusive. We will accelerate your development as a leader to create positive, enduring change in the world.

Your Impact

You will work with C-suite executives, problem-solve on their key issues and provide actionable recommendations leveraging your technology know-how and business sense.

You will play an active role in all aspects of a client project, typically working in teams of 3 to 5 consultants alongside experts and partners of all tenures, including developers, designers, data engineers, agile coaches and others. This includes gathering and analyzing information, formulating and testing hypotheses, and developing and communicating recommendations for client presentations. You’ll also have the opportunity to present results to client management and advise on their implementation in collaboration with client team members.

Our consultants receive exceptional training as well as frequent coaching and mentoring from colleagues on their teams. This support includes a partner from your local office assigned to help you guide your career as well as several weeks of formal training. Additionally, you'll receive guidance and support from your local office or practice in the selection of client projects, helping you to develop your skills and build your network.

Your Qualifications and Skills

Master's degree in engineering, science or another technical or related field
5+ years of post-university experience in technology- and strategy-related roles in a professional services, blue-chip, industry or start up environment
Combination of strong strategic and analytical abilities with a passion for technology
Proven track record of leadership in a work setting and/or through extracurricular activities
Outstanding track record of academic and professional achievements
Fluency in both English and French

Paris, France

On site

13-03-2025

Company Name

McKinsey & Company

Job Title

Senior Data Scientist - McKinsey Transformation

Job Description

Who You'll Work With

You will work in our McKinsey Transformation Client Capabilities Network in EMEA and will be part of our Wave Transformatics team.

Wave is a McKinsey SaaS product that equips clients to successfully manage improvement programs and transformations. Focused on business impact, Wave allows clients to track the impact of individual initiatives and understand how they affect longer term goals. It is a mix of an intuitive interface and McKinsey business expertise that gives clients a simple and insightful picture of what can otherwise be a complex process by allowing them to track the progress and performance of initiatives against business goals, budget and time frames.

Our Transformatics team builds data and AI products to provide analytics insights to clients and McKinsey teams involved in transformation programs across the globe. The current team is composed of data engineers, data scientists and product managers who are spread across several geographies. The team covers a variety of industries, functions, analytics methodologies and platforms – e.g. Cloud data engineering, advanced statistics, machine learning, predictive analytics, MLOps and generative AI.

Your Impact

You will collaborate closely with a team comprising data scientists, data engineers, product developers, and analytics-focused consultants.

You will work on topics such as descriptive analytics, predictive models (e.g., boosted trees), and large language models (LLMs), particularly for segmentation use cases. Additionally, you will design and deliver products that adhere to MLOps best practices, ensuring they are both maintainable and deployable. By doing so, you will help bring advanced analytics capabilities into one of McKinsey’s flagship products, named "Wave". Your work will be the backbone for how McKinsey runs future Transformations, leveraging data science assets, to improve the odds of success for our clients.

In this role, you will be responsible for the following, as the primary focus

Advanced insight generation transforming complex business questions into statically relevant analyses and these analyses into easy to digest insights. Delivering this through well documented and tested pipelines, that allow easy collaboration with other team members.
Upholding technical excellence Together with the tech lead(s) define how to build, maintain and scale our pipelines. Often piloting new technical approaches & automation. Using your business understanding to critically review model results, trends, analyses and classifications.
Coach & help other colleagues Coach & help you peers when needed, we deliver as a team.
Machine learning model development Lead the design and refinement of statistical models, optimization techniques, advanced machine learning, and predictive models
LLM optimization and evaluation Fine-tune and evaluating the performance and efficiency of Large Language Models, leveraging the latest advancements in neural network architectures and machine learning techniques

Your role might also include, as the secondary focus

Design & build creative approaches to further optimize accuracy & reduce cost In addition to optimizing the LLM through prompts and settings, you will design and test alternative approaches, such as pre-filters and non-LLM-based text models, within parallel multi-agent setups.
Build for scale Together with the tech lead(s), you will define how to maintain and scale our LLM classifier pipeline. The classifier pipeline will, in the long term, run as a on-demand batch process, and will, once stable, be refactored with scalability in mind.
Deploying pipelines at scale Although not core to your role, you will be exposed to cloud deployments & orchestration of our pipelines and can shape these if you have an interest in this field.
Expert guidance for client teams You will work closely with global client service teams to deliver high-quality advanced analytics solutions, offering expert guidance to ensure analytical excellence and understanding at client teams.
Knowledge and research You will contribute to influential articles, white papers, and research, positioning the firm as a thought leader in analytics and transformation, with a focus on LLMs and predictive modeling

Your Qualifications and Skills

Familiarity with neural network architectures (Transformers), RAG models, deep learning libraries (TensorFlow/PyTorch) and machine learning libraries (scikit-learn) is a plus
Exposure to extra tooling such as Snowflake, Excel and Tableau is a plus
Experience in leading complex engagements to deploy advanced analytics and data science methods at scale in real world organizations
Programming experience in the following languages Python and SQL
3+ years of relevant experience with classical descriptive statistics, standard statistical modelling (e.g. advanced regressions, clustering, classification models) and machine learning techniques (e.g. random forest, support vector machines, gradient boosting, XGBoost)
Strong data translation and presentation skills with the ability to clearly and effectively communicate complex analytical and technical content
MSc or PhD level in the field of computer science, machine learning, applied statistics, mathematics or equivalent by experience

Brussels, Belgium

On site

13-03-2025