AI Expert in Finance

AI Expert in Finance & RiskMiejsce pracy: WarszawaTechnologies we useExpectedPythonSQLDatabricksSparkAzureAWSGoogle Cloud PlatformOptionalJavaScalaTerraformAnsibleGitHub ActionsRedHat OpenShiftAbout the projectChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Your responsibilitiesLead AI initiatives in Finance & Risk data domain, ensuring best practices and scalability.Introduce and implement modern AI solutions, including generative AI and LLM-based workflows for finance.Analyze existing AI solutions from other areas and identify reusable components for current projects.Design and optimize data pipelines for AI training and inference, collaborating with finance SMEs.Evaluate and improve model performance, ensuring accuracy, compliance, and iterative enhancements.Train teams on AI-enabled tools and contribute to documentation and thought leadershipOur requirementsMSc or PhD in Finance, Mathematics, Data Science, or a related quantitative/technical field.Strong experience in AI model development and deployment, ideally in the banking or insurance industry.Python (mandatory), SQL.AI expertise in LLMs, prompt engineering, reinforcement learning and model fine-tuning.Proven track record in data engineering (e.g., Databricks, Spark).Familiarity with finance workflows (risk modeling, valuation, forecasting, regulatory compliance, fraud detection).Experience with at least one major cloud platform (Azure, AWS, or GCP) is required.OptionalJava or Scala is a plus.Infrastructure & automation tools (Terraform, Ansible, GitHub Actions; container orchestration as RedHat OpenShift).What we offerWell-being culture: medical care with Medicover, private life insurance, and Sports card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Let's talk about wellbeing" which you can listen to on Spotify.Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings.Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details.Benefitssharing the costs of sports activitiesprivate medical carelife insuranceno dress codeparking space for employeesextra social benefitsredeployment packageemployee referral programcharity initiativesaccess to courses e.g. Excel, VBA, RPA, Customer Careunlimited access to Udemy Businessfree chat/call with a therapistRecruitment stagesInterview with the recruiterCompetency Tests/Language VerificationVideo call with a managerFinal DecisionCapgemini Polska Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms.I agree to the processing of personal data provided in this document for realising the recruitment process pursuant to the Personal Data Protection Act of 10 May 2018 (Journal of Laws 2018, item 1000) and in agreement with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation).