Senior Analytics & Modeling Associate

Fannie Mae
Washington, DC, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$123,000.0 - $161,000.0
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Data Analysis Microsoft Azure Cloud Computing Cluster Analysis Data Cleansing Data Mining Data Visualization R (Programming Language) Python (Programming Language) Machine Learning Power BI
+8 more
SAS (Software) SQL Databases Tableau (Software) Strategies of Testing Unstructured Data Git Performance Monitor Programming Languages

Job description

As a valued colleague on our team, you will, under limited supervision, conduct theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing.

THE IMPACT YOU WILL MAKE The Senior Analytics & Modeling Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

Apply moderately complex mathematical, statistical, and econometric techniques to provide innovative, thorough, and practical solutions that support business strategies and initiatives.

Conduct or assess ad-hoc quantitative analyses, modeling, or programming using SAS, SQL, R, or Python. Utilize advanced data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Identify opportunities to apply quantitative methods to improve business performance.

Apply experience and skill to complete modeling projects aligned with established company policies and industry-wide modeling practices.

Implement validation or testing strategies and assess the quality and risk of model methodologies, outputs, and processes.

Apply understanding of relevant business context to interpret model results, monitor performance, and assess risks.

Requirements

Communicate complex technical subject matter clearly and concisely, both verbally and through written communication, such as white papers, review reports, or workpapers

Minimum Required Experiences: 2 years experience performing quantitative analysis, statistical modeling, or predictive analytics to solve complex business problems

Experience using programming languages such as Python, SAS, R, or SQL for data analysis, model development, and automation

Experience working with large, structured and unstructured datasets, including data preparation, validation, and quality assessment

Experience communicating analytical findings and technical concepts to both technical and non-technical stakeholders through clear documentation and presentations

Experience collaborating with cross-functional teams, including business, technology, risk, and governance partners, to deliver analytical solutions

Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work

Desired Experiences: Bachelor degree or equivalent

Experience in financial services, mortgage finance, banking, or risk management

Knowledge of statistical and machine learning techniques, such as regression, classification, clustering, time series forecasting, or tree-based models

Experience with cloud-based analytics platforms (AWS, Azure, or GCP), Git, and data visualization tools such as Tableau or Power BI

Enterprise Modeling and Analytics - Quantitative Modeling - Senior Associate, Education: Bachelor’s Level Degree (Required)

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.

Benefits & conditions

4.04.0 out of 5 stars Washington, DC Hybrid work $123,000 - $161,000 a year - Full-time, The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See more here .

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