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Moody’s Analytics, Inc. - Assc Dir- Analytics & ModelingDevelop financial models and algorithms with large scale structured and unstructured data sets. Initiate, develop, and maintain data pipeline that power dashboards and data products. Deliver outstanding professional services to financial professionals (lenders, investors, asset managers, brokers) while advancing Moody’s research and analytics objectives. Identify data, metrics and analyses needs for business partners with data mining techniques. Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship. Develop financial models and design machine learning algorithms. Collaborate with market analysts and business stakeholders to create predictive models to forecast the future financial market trends. Collaborate on the designs, develops, regression tests and maintains automation of a variety of financial models and report generations. Work with DevOps team to find ways to scale our insights through better systems and automation. Engage with data engineering team to streamline data process. Undertake the preprocessing of structured and unstructured data. Ensure the data quality and partner with data collection department to improve the data quality and research efficiency. Leverage visualization tools to present financial model performance to stakeholders. Support internal research and academic reports through data analysis. Telecommuting Permitted (100% telecommuting position. Will consider applicants resident in the continental U.S.).Requires a Master’s degree or foreign equivalent in Financial Engineering, Quantitative Finance, or a closely related quantitative field plus at least one (1) year of experience as a Financial Analyst, Data Analyst, or in a related quantitative position performing financial and statistical modeling. Must have experience with the following: modeling, data mining, and machine learning algorithms with large scale financial data and geospatial data in cloud environments to identify and analyze market patterns and trends; business sense in financial markets and commercial real estate; large scale data analysis experience in financial risk management and CRE market; Python, R, SQL, MATLAB, PySpark, and Hadoop Distributed File System; hand-on experience in AWS, IBM Watson Studio, data warehouse, and data lake; packing/deployment of code (Conda, PyP, Anaconda); exposure to the scientific Python stack (NumPy, Pandas), and advanced machine learning libraries (Scikit-Learn, Xgboost, Tensorflow, Keras, Pytorch, FastAI, Dask-ML). Telecommuting Permitted (100% telecommuting position. Will consider applicants resident in the continental U.S.).For US-based roles only: the anticipated hiring base salary range for this position is $100,547 - $221,950/yr depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.To apply, please submit resume through careers.moodys.com, via e-mail at hrbox28@moodys.com, or by mail to: Moody’s Analytics, Inc., Attn: HR Box 28, 7 World Trade Center, 250 Greenwich Street, New York, NY 10007. Please refer to Job Ref. 7446

Minimum Salary: 100,547 Maximum Salary: 221,950 Salary Unit: Yearly