<p><strong>What role you will play in team:</strong> You'll join a team focused on developing cutting-edge machine learning solutions to enhance our financial operations and risk management capabilities.</p><p><strong>What you will do:</strong> You'll design, develop, and deploy machine learning models to address complex financial challenges.</p><p><strong>Key responsibility:</strong><ul><li>Develop and deploy machine learning models for fraud detection, risk assessment, or algorithmic trading.</li><li>Work with large, high-velocity financial datasets.</li><li>Develop and maintain data pipelines and infrastructure.</li><li>Collaborate with other engineers, data scientists, and business stakeholders.</li><li>Ensure models are robust, scalable, and comply with regulatory requirements.</li><li>Stay abreast of the latest advancements in machine learning and financial technology.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's or PhD in computer science, statistics, or a related field.</li><li>2-4 years of experience in machine learning engineering.</li><li>Proficiency in Python or Java.</li><li>Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).</li><li>Strong understanding of financial markets and regulations (a plus).</li><li>Excellent problem-solving and communication skills.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career growth.</li><li>Collaborative and challenging work environment.</li><li>Comprehensive health insurance and other employee benefits.</li><li>Opportunities to work on impactful projects in the financial industry.</li><li>Global career opportunities within Deutsche Bank.</li></ul></p><p><strong>A Day in the Life:</strong> Expect a fast-paced, intellectually stimulating environment where you'll apply your machine learning expertise to real-world financial challenges.</p>