Decision Scientist- Senior Associate

+ Utilise advanced data science and machine learning methodologies to solve complex real-world problems + Collaborate with data and machine learning engineers to deploy models within the cloud infrastructure + Perform quantitative ad-hoc analysis and present findings to the stakeholders in a clear, logical and persuasive manner, illustrating them with effective visualisations + Collaborate with business partners and domain experts to identify business opportunities and understand business problems +

Our Decision Science team is at the heart of this venture, focused on getting smart ideas into the hands of our customers. We're looking for people who have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By their nature, our people are also solution-oriented, commercially savvy and have a head for fintech. We work in tribes and squads that focus on specific products and projects - and depending on your strengths and interests, you'll have the opportunity to move between them., + Masters in a STEM subject (e.g. Mathematics, Computer Science, Engineering, Physics) and 3-5 years of industry experience, or Ph.D. in a STEM discipline and 2 years of industry experience. + Solid background in probability, statistics, data science and machine learning methodologies (e.g. supervised/unsupervised learning, linear regression, random forests, xgboost) + Familiarity with Python, SQL and open-source libraries for data science and machine learning (e.g., numpy, pandas, scikit-learn, pyTorch, tensorflow) + Ability to work both independently and in a highly collaborative team environment +

• Preferred qualifications, capabilities and skills
+ Working knowledge in one or more of these areas: Natural Language Processing methodologies (e.g., transformer-based architecture), probabilistic programming, causal inference techniques, recommender systems, time series forecasting, explainability in machine learning. + Familiarity with one or more of these libraries: OpenAI APIs, huggingface, pystan, pymc, statsmodels, sktime, shap, pyspark, dask, xgboost + Advanced SQL querying skills + Ability to develop and debug production-quality code

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.