<p><b>What role you will play in team:</b> Research and develop novel machine learning algorithms and techniques for financial applications.</p><p><b>What you will do:</b> Design, implement and evaluate machine learning models for fraud detection, risk management, and algorithmic trading.</p><p><b>Key responsibility:</b><ul><li>Research and develop new machine learning algorithms and models.</li><li>Implement and evaluate machine learning models for financial applications.</li><li>Collaborate with other scientists and engineers.</li><li>Stay abreast of the latest advancements in machine learning.</li><li>Publish research findings in conferences and journals.</li><li>Contribute to the development of innovative solutions for financial challenges.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>PhD in Computer Science, Statistics, or a related field.</li><li>5+ years of experience in machine learning research and development.</li><li>Strong publication record in top machine learning conferences and journals.</li><li>Proficiency in Python or R.</li><li>Experience with large-scale data processing and analysis.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and advancement.</li><li>Challenging and rewarding work environment.</li><li>Hybrid work model.</li></ul></p><p><b>A Day in the Life:</b>  A day could involve researching new algorithms, conducting experiments, analyzing results, writing code, and collaborating with team members.</p>