Job
Description
We are seeking a Data Scientist to join this exciting opportunity to grow Smart Monitoring COE multi-folds. As a member of SM COE, the incumbent will be responsible for identifying opportunities to apply new and innovative ways to monitor risks through KRIs/ACTs and execute appropriate strategies in partnership with Business, OE, Compliance, and other stakeholder teams. Key activities for the role will include: Lead the design and implementation of NLP & GenAI based solutions for real time identification of Key Risk Indicators. Owning the architecture and roadmap of the models and tools from ideation to productionizing Lead a team of data scientists, providing mentorship, performance coaching and technical guidance to build domain depth and deliver excellence Champion governance, interpretability of models from validation point of view Lead R&D efforts to leverage external data (social forums, etc) to generate insights for operational/compliance risks Provide rigorous analytics solutions to support critical business functions and support machine learning solutions prototyping Collaborate with Model consumers, data Engineers, and all related stakeholders to ensure precise implementation of solutions Qualifications: Masters/PhD in a quantitative field (Computer Science, Statistics, Mathematics, Operation Research, etc) with hands-on experience leveraging sophisticated analytical and machine learning techniques. Strong preference for candidates with 5-6+ years of working experience driving business results Demonstrated ability to frame business problems into machine learning problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solvable solution to deliver business insights and optimal control policy Creativity to go beyond the status-quo to construct and deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects Deep understanding of machine learning/statistical algorithms such as time series analysis and outlier detection, neural networks/deep learning, boosting and reinforcement learning. Experience with data visualization a plus Expertise in an analytical language (Python, R, or the equivalent), and experience with databases (GCP, SQL, or the equivalent) Prior experience working with Big Data tools and platforms (Hadoop, Spark, or the equivalent) Experience in building NLP solutions and/or GEN AI are strongly preferred Self-motivated with the ability to operate independently and handle multiple workstreams and ad-hoc tasks simultaneously. Team player with strong relationship building, management and influencing skills Strong verbal and written communication skills
