Senior Consultant - D&A - Milano

Data analytics

Risk consulting – Regulatory & risk advisory
Milan

Do you like risk? Be Quant!

Our Regulatory & risk advisory line of services is at the forefront of KPMG Advisory's outstanding performance. Our lead partner heads the global KPMG network's Financial risk management practice. Our professionals help clients across all industries achieve robust financial risk management frameworks in accordance with national and international regulations, contributing to better decision making and enhancing results.

In a global environment defined by constant disruption, business leaders need data and analytics they can trust to inform their most important decisions. KPMG's network of D&A specialists leverage comprehensive knowledge of the industries and processes to define business problems, build solutions and deliver end-to-end services. KPMG works across functions and industries to accelerate activities that go beyond an individual member firm's reach to address clients' most pressing business issues.

Your solid skills will be put to full use, putting you at the centre of a first-class environment, where you will contribute first-hand to the success of our clients and your own professional growth.

Through challenging projects you will gain deep, specialised experience in all aspects of the banking and insurance industry.

As a Senior data scientist consultant in the KPMG Advanced data and analytics team in Milan, you will be responsible for solid, strategic projects. In particular, you will be tasked with:

• working with clients' stakeholders to identify specific needs and opportunities for leveraging data to drive business solutions;
• developing and deploying highly customised advanced analytics solutions;
• mining and analysing data from company databases to drive optimisation and improvement of product development, marketing techniques and business strategies;
• assessing the effectiveness and accuracy of new data sources and data gathering techniques;
• developing custom data models and algorithms to apply to data sets;
• using predictive modelling to increase and optimise the customer experience, revenue generation, ad targeting and other business outcomes;
• coordinating with different functional teams to implement models and monitor outcomes;
• developing processes and tools to monitor and analyse model performance and data accuracy.

The ideal candidate has:

• curiosity, strong problem-solving skills and the ability to draw insights from data;
• an ability to work autonomously in at least two of the following programming languages: Python, R, SAS, Java, SQL and C++, and a good knowledge of database and data architectures;
• knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks;
• knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, etc.) and experience with real world applications;
• excellent written and verbal communication, both in Italian and English;
• a drive to learn and master new technologies and techniques;
• two to four years of data or statistics experience with consulting companies, startups or technology companies;
• a master’s degree or PhD in statistics, mathematics, computer science, business, finance or another quantitative field;
• knowledge of or willingness to learn project management techniques.

You are a problem solver and never lose sight of your goals. You have strong interpersonal skills and are a team player. Your motivation and enthusiasm inspire confidence and empower change. You enjoy taking on challenges and are comfortable in fast-changing situations where your leadership abilities make the difference.

Businesses demand a broad mix of advisory services as they seek to address the myriad challenges and opportunities presented by a persistently volatile and complex economic environment. Our advisory experts work across the corporate health spectrum covering areas as diverse as profitability, transformation, technology, risk, growth, structure and operations. 

Your data will be processed in full compliance with the provisions of Regulation (EU) no. 679/2016 (General Data Protection Regulation - “GDPR” or the “Privacy legislation”), as amended.

Please see KPMG's privacy policy for further information.

KPMG Advisory S.p.A. is an equal opportunities employer.

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