, New York

This role involves: * Lead interactions with our partners in Research, Investment Banking etc. on Alternative Data * Build statistical and AIML models to uncover company trends and insights from large volumes of structured and unstructured datasets * Build data ingestion pipelines using airflow based frameworks * Operationalize statistical and AIML model maximizing ML Ops tools like ML Flow * Produce data and model explain ability reports for the business partners *Your future colleagues* The IB Data Analytics team based in New York and Raleigh demonstrate AI and ML to glean insights from traditional and alternative data sets. These insights help the bank produce differentiated investment solutions for our clients. The team is a set of AIML practitioners and researchers looking to build the next generation AI while having a lot of fun. We are a department which values Diversity and Inclusion (D&I) and is committed to realizing the firm’s D&I ambition which is an integral part of our global cultural values We are looking for a senior data scientist to lead our Innovation and Cognitive computing efforts. * A Masters in Computer Science, related or equivalent work experience, with a proven background in AIML, Quantitative Analysis, statistics, factor modeling, evidence based research etc. * Advanced Knowledge of Python is required * Proven experience of at least 3 years in building Statistical or Machine Learning models * 3 years of proven experience in Data Science techniques like exploratory analysis, feature engineering and ML techniques like clustering, regressions, classifications etc. * Experience working with Alternative data * Experience with time series modeling and packages like FB prophet * Exposure to Machine Learning techniques like hyper parameter tuning, model validation, model serving, model monitoring, retraining etc. (Machine Learning pipeline) * Experience with machine learning lifecycle tools (i.e. mlflow, kubeflow) * Excellent written and spoken English, with ability to work closely and communicate well within a highly skilled team, with a wide range of backgrounds and skillsets. * Experience working in teams of analysts, data engineers, statisticians, and data scientists * Experience in analytics (a.k.a. decision sciences) and investment sciences in the financial industry; * Innovative mindset—thinks beyond the status quo * Knowledge of distributed and cloud computing is preferred * Dedication to fostering an inclusive culture and value diverse perspectives **Job:** **Information Technology* **Title:** *Data Scientist - Alternative Data#186907* **Location:** *NY-New York* **Requisition ID:** *186907*

, New York

Credit Suisse (USA) is one of the top US investment banks, offering advisory services on mergers and acquisitions, raising capital, securities underwriting and trading, research and analytics, and risk management products. Clients include corporations, governments, institutional investors such as hedge funds, and private individuals. The company provides asset management services through Credit Suisse Private Equity; while Credit Suisse Private Banking USA offers wealth services to the rich throughout the country. Credit Suisse (USA) is a wholly owned subsidiary of Swiss banking powerhouse Credit Suisse Group and part of Credit Suisse Americas, which includes North and South America and the Caribbean.

Similar jobs