<p><b>What role you will play in team:</b> You’ll be part of a high-performing team developing and deploying cutting-edge machine learning models for various financial applications, focusing on algorithmic trading and risk assessment. </p><p><b>What you will do:</b>  You'll design, develop, and test machine learning algorithms, and implement them into our existing systems.</p><p><b>Key responsibility:</b><ul><li>Design, develop, and implement machine learning models for algorithmic trading and risk assessment.</li><li>Collaborate with quantitative analysts and software engineers.</li><li>Develop and maintain robust and scalable machine learning systems.</li><li>Conduct research and development to explore new machine learning techniques.</li><li>Monitor and evaluate model performance and make necessary adjustments.</li><li>Ensure adherence to regulatory compliance requirements.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's degree in computer science, data science, or a related field.</li><li>Strong programming skills in Python or Java.</li><li>Experience with machine learning libraries (TensorFlow, PyTorch, scikit-learn).</li><li>Experience with big data technologies (Hadoop, Spark).</li><li>Understanding of financial markets and risk management principles.</li></ul></p><p><b>Benefits Included:</b><ul><li>Highly competitive salary and benefits package.</li><li>Opportunities for career progression within a global financial institution.</li><li>A challenging and rewarding work environment.</li><li>Work from home options.</li><li>Professional development opportunities.</li></ul></p><p><b>A Day in the Life:</b> A typical day could involve model development, code review, performance testing, collaboration with colleagues, and staying current with industry trends.</p>