Financial Data Scientist @ Capgemini Polska Sp. z o.o.
(práce v Polsku)

Financial Data Scientist @ Capgemini Polska Sp. z o.o.

Polsko

YOUR PROFILE

• Education & Experience: Master’s degree in a relevant field (e.g., Data Science, Finance, Economics) with at least 4 years of experience in the banking or financial services sector.
• Technical Skills: Proficient in Python and libraries like Pandas, NumPy, and Scikit-learn for data analysis, model building, and automation. Experience working Agile with Git, CI/CD, multi-services, MLOps.
• Financial Expertise: Experience in financial modeling, risk management, anti - financial crime and time series analysis, with a strong understanding of financial markets and instruments.
• Data Analysis & Insights: Ability to analyze complex datasets, identify trends, and generate actionable insights to inform business decisions.
• Collaboration & Execution: Strong team player with attention to detail and the ability to work under pressure, ensuring effective delivery of projects while managing risks.

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our clients challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

WHAT YOU’LL LOVE ABOUT WORKING HERE

• Well-being culture: medical care with Medicover, private life insurance, and Multisport card. But we went one step further by creating our own Capgemini Helpline offering therapeutical support if needed and the educational podcast "Lets 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.
• 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.
• Continuous feedback and ongoing performance discussions thanks to our performance management tool GetSuccess supported by a transparent performance management policy.

GET TO KNOW US

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on TikTok! — @capgeminipl.

ABOUT CAPGEMINI

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. 

,[Data Analysis and Modeling: Design and implement statistical models, machine learning algorithms, and advanced data analytics to analyze financial data, identify trends, and generate actionable insights for investment strategies and risk management., Financial Forecasting: Use predictive modeling techniques to forecast market trends, asset prices, and economic conditions, helping to inform business decisions and optimize financial portfolios., Data Integration and Automation: Integrate large datasets from multiple financial sources (e.g., market data, transactions, financial statements) and automate data collection, processing, and reporting to improve operational efficiency., Risk Management and Fraud Detection: Develop models to assess and mitigate financial risks, detect anomalies, and predict potential fraud, ensuring compliance with regulatory standards and internal policies., Collaboration and Reporting: Work closely with cross-functional teams (e.g., finance, investment, risk) to communicate findings, create dashboards, and present data-driven recommendations to senior management] Requirements: Python Additionally: Sport subscription, Training budget, Private healthcare, International projects, Free coffee, Bike parking, Mobile phone, Modern office, No dress code.

Kategorie

data

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