Assistant Director - Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

True leaders are always learning. Moody’s is home to information architects, thinkers, builders, and passionate problem solvers, a collection of diverse viewpoints working together to bring out our best. Join us. Forward Together.

Moody’s (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. With over 11,000 employees in more than 40 countries, Moody’s combines international presence with local expertise and over a century of experience in financial markets. Learn more at moodys.com.

At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity

Moody’s Analytics provides financial intelligence and analytical tools supporting our clients’ growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today’s business leaders confidently navigate an evolving marketplace.

Department

CRE Thought Leadership

Role/Responsibilities

Responsibilities:

• Identify data, metrics and analyses needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship.
• Collaborate on the designs, develops, regression tests and maintains automation of a variety of commercial real estate models and report generations.
• Work with the broader Modeling and Advisory team to find ways to scale our insights through better systems and automation.
• Prototype new analytics processes & machine learning models that improve both our insights and the product directly.
• Work closely with product managers, model managers, financial engineers and application developers in building and maintaining CRE risk products.
• Synthesize CRE research findings into compelling stories and communicate them throughout the CRE Organization.

Qualifications

Qualifications:

• Graduate/second-level degree (e.g. MBA, Master’s) in Computer Science, Data Science, Math, Statistics, Economics or a related quantitative field preferred.
• 2+ years of experience in financial risk models and CRE related analysis.
• Strong experience in data mining and machine learning with large financial data and geospatial data in cloud native environments.
• Demonstrate positive energy, a desire for continuous learning, and the ability to clearly communicate in a technical context.
• Strong Python, R, Stata, and SQL experience.
• Experience with packing/deployment of code (Conda, PyP, Anaconda), experience and exposure to the scientific Python stack (NumPy, Pandas), and advanced machine learning libraries (Scikit-Learn, Xgboost, Tensorflow, Keras, Pytorch, FastAI, Dask-ML)
• AWS experience preferred.
• VB/ C#/C++ development skills are preferred