Jobs at Klay

Company OverviewWe are a boutique financial services firm providing unbiased expertise, tailored financial solutions and best-in-breed technology to clients around the world. We are seasoned experts across the full suite of wealth management, multi-family office, asset management and corporate advisory services. Through our open architecture model, we ensure you benefit from the combination of institutional rigor and bespoke solutions.Role OverviewWe are seeking a skilled Data Scientist with at least 3 years of experience in dealing with large financial data sets to support development of portfolio solutions. This role will leverage machine learning and statistical modelling techniques to enhance our investment strategies, risk assessment, and portfolio performance.Key ResponsibilitiesDevelop, implement, and maintain quantitative models for various portfolio solutions, including: (a) development of structured solutions such as single stock volatility strategies, (b) portfolio optimization techniques through the use of various overlays (c) quantitative research across macro and equity asset classes (d) and other advanced analytics initiatives to process increasing firm-wide dataApply machine learning techniques to generate predictive insights (starting with 3 specific models)Perform feature engineering, model tuning, and validation to ensure robustness and performanceAnalyze large, multi-source financial datasets to identify trends and risk driversSupport trading and investment teams with data-driven insights and analytical toolsCollaborate with cross-functional teams to translate business requirements into scalable technical solutionsEnsure model accuracy through rigorous testing and ongoing performance monitoringOvertime model training/refinement will be requiredQualificationsMaster’s degree in Financial Engineering, Mathematical Finance, Data Science, Statistics, or a related quantitative disciplineAt least 3 years of professional experience finance in data science or quantitative research, preferably within asset management, banking, or investment firmsStrong proficiency in Python (Pandas, NumPy, Scikit-learn; experience with TensorFlow or PyTorch is a plus)Though most of the work is expected to involve structured data sets, experience with unstructured data sets is a plusUnderstanding of the pros/cons of various machine learning techniques Show more Show less