Risk Analytics Junior Consultant | Milan

KPMG S.p.A.; Lombardia; Sur place; EUR 27 000 - 33 000; Plein temps

Résumé du poste

KPMG Advisory S.p.A. in Milan is seeking a hands-on Risk Analytics engineer to build data-driven platforms and ML-enabled solutions for financial services and energy clients.

You will design data ingestion pipelines, develop high-performance apps, and collaborate with data scientists to deploy ML models. Strong full-stack, API, and cloud skills are essential.

Qualifications

• Master’s degree in Computer Science, Data Science, Software Engineering or a related field.
• Motivation to build a career in the Risk sector with a focus on financial services and energy.
• Some knowledge in software engineering with a strong understanding of full-stack development.
• Some knowledge with API development, cloud platforms, and containerization technologies.
• Familiarity with data visualization tools and basic statistical modeling techniques.
• Excellent problem-solving skills and the ability to communicate technical concepts clearly to diverse audiences.

Responsabilités

• Build and maintain high-performance applications and microservices that underpin data analytics platforms; develop robust APIs and integration layers to seamlessly connect various internal and external data sources.
• Design, implement, and optimize financial data ingestion and transformation pipelines to process high-volume datasets from diverse energy systems and sensors; ensure data quality and integrity through testing, validation and monitoring processes.
• Collaborate with data scientists to integrate machine learning algorithms and predictive modeling into live production environments; create interactive dashboards and reporting tools that transform raw data into actionable insights for technical and non-technical stakeholders.
• System Optimization & Scalability: Enhance system performance through code optimization, cost optimization, robust testing, and effective resource management; implement scalable solutions that support growing data demands and evolving business needs in the client domain.
• Participate in agile development practices, including sprint planning, code reviews, and continuous integration, to ensure efficient delivery of features and improvements; work closely with cross-disciplinary teams, including business analysts, data engineers, and product managers, to align technological advancements with strategic objectives.

Connaissances

Full-stack dev

API development

Cloud platforms

Containerization

Data visualization

Statistical modeling

Problem solving

Communication

Formation

Master’s degree in CS/Data Science/Software Engineering

Outils

Azure

Google Cloud

AWS

Databricks

Description du poste

The chance to build a better future is right in front of you

Do Work That Matters- Your role and responsibilities

Do you want to pursue a profession that is truly meaningful and impactful? At KPMG, you will have the opportunity to help clients, the company and colleagues address and solve the most current and complex challenges.KPMG Advisoryoffers consulting services to companies to assist them in business model transformation, process improvement and digitisation, risk analysis and management, and support in extraordinary finance transac tions. When you join the Risk Analytics team in Milan, you are going to work on financial and energy projects using tech solutions and AI support for top-tier clients in different sectors.

Specifically, you will be tasked with:

Build and maintain high-performance applications and microservices that underpin data analytics platforms; develop robust APIs and integration layers to seamlessly connect various internal and external data sources.

Design, implement, and optimize financial data ingestion and transformation pipelines to process high-volume datasets from diverse energy systems and sensors; ensure data quality and integrity through testing, validation and monitoring processes.

Collaborate with data scientists to integrate machine learning algorithms and predictive modeling into live production environments; create interactive dashboards and reporting tools that transform raw data into actionable insights for technical and non-technical stakeholders.

System Optimization & Scalability: Enhance system performance through code optimization, cost optimization, robust testing, and effective resource management; implement scalable solutions that support growing data demands and evolving business needs in the client domain.

Participate in agile development practices, including sprint planning, code reviews, and continuous integration, to ensure efficient delivery of features and improvements; work closely with cross-disciplinary teams, including business analysts, data engineers, and product managers, to align technological advancements with strategic objectives.

Come AsYou Are - Your skills and characteristics

This is the perfect opportunity if you have:

• Master’s degree in Computer Science, Data Science, Software Engineering or a related field;
• Motivation to build a career in the Risk sector with a focus on financial services and energy sector;
• Some knowledge in software engineering with a strong understanding of full-stack development;
• Some knowledge with API development, cloud platforms, and containerization technologies;
• Familiarity with data visualization tools and basic statistical modeling techniques;
• Excellent problem-solving skills and the ability to communicate technical concepts clearly to diverse audiences.

Your Future With Us - What you’ll find at KPMG

• Immediate exposure to live data challenges, where you can apply your skills to solve authentic business problems and see the impact of your work in real time.
• Join a collaborative, agile team that values creativity, technical excellence, and practical problem solving, facilitating rapid prototyping and successful project deployments (from PoCs to MVPs).
• Opportunities to acquire leading certifications (Azure, Google Cloud, AWS, Databricks) and engag e in challenging projects that accelerate your technical and professional learning curve.
• Tailored compensation packages and benefits designed to support both your personal and professional success.

Standard employment contract under the collective labour agreement for the commerce sector, with a starting gross annual salary of €30,000. The salary is determined on the basis of objective criteria, including educational qualifications and an assessment of the candidate’s profile against the requirements of the role. In accordance with applicable legislation, we do not collect or use information relating to remuneration received in current or previous employment. Our selection procedures are based on objective and gender-neutral criteria.

Together for Better – Our values and commitment

Leadership, teamwork, respect every individual, continuous learning, transparency, commitment to the community and integrity. These are theKPMGvaluesthat create an environment that encourages the sharing of ideas and knowledge, so our professionals canachieve their full potential.

As a result of our commitment to fostering aninclusive workenvironment, our Network complies with the standards of theISO 30415requirements, on the Diversity and Inclusion Management System, andUNI PdR 125, relating to gender equality”. Within ourImpact Plan- Our Impact Plan (kpmg.com) - you will find summarised all the concrete actions we are taking on environmental, social and governance (ESG) issues.

Your data will be processed in full compliance with the provisions of Regulation (EU) no. 679/2016 (General Data Protection Regulation - “GDPR”), as amended. For more information, please see KPMG’s privacy policy.

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