Walker & Dunlop’s mission is to deliver the best borrower experience of any commercial real estate lender in the world, and we are achieving this goal by leading the industry in data science and technological innovation.

The technology team at W&D has a creative and entrepreneurial culture – everyone on the team interacts directly with customers, and we all contribute to product development and planning. A commitment to innovation and a passion for disrupting the old-fashioned real estate industry are our highest priorities!

What you will be doing:

• Implement and maintain regression, classification and optimization algorithms, supervised and unsupervised, to predict asset valuation, market trends and identify financing opportunities
• Prototype, implement, test, deploy, and maintain stable predictive models in a production environment while working closely with our Data Engineering team
• Implement new statistical or other mathematical methodologies as needed for specific models or analyses
• Work with the team and help implement solutions in APIs and interfaces
• Present possible technical solutions to various stakeholders, clearly explaining your decisions and how they address real user needs, and incorporating user feedback in subsequent iterations
• Develop a solid understanding of the parameters that drive success in real estate investment and finance
• Conduct pair programming, code review, and design review sessions
• Coach/Manage junior data scientists to meet product deadlines and maintain coding standards

What We’re Looking For:

• Master’s degree in a related field required
• At least five years’ experience in statistical analysis and/or data science using Python
• You have successfully designed, implemented and maintained robust models in production
• You have proficient software development knowledge, with experience building, growing, maintaining a variety of products, and a love for creating elegant applications
• You have an entrepreneurial mindset and are product-oriented
• You are curious and willing to continue learning in data science, but also in frontend and backend technologies
• You have worked with financial mathematics or are willing to learn on the job about them
• Some management experience a plus

Technologies We Use:

• Python 3 for data analysis (critical)
• Python packages for data processing or ML, such as scikit-learn, numpy, beautifulsoup, matplotlib, nltk, pandas… (critical)
• PostgreSQL / BigQuery (or similar, critical)
• Modern Devops i.e. Docker, GitHub Actions, Google Cloud, CI/CD (preferred)
• Golang (or similar strictly typed language, preferred/helpful)
• Vue.js (or similar frontend framework, helpful)
• JIRA / Slack / Zoom / Intercom

What to expect your first 6 months?

• At 30 days – You’ll have familiarized yourself with the product’s purpose and code base (backend and frontend) and will have participated in building a feature in our platform

• At 90 days – You’ll have a working knowledge of the domain and a deeper understanding about the problem-space. You’ll have a good idea of the value provided by your tasks and have implemented / refined a couple of them.

• At 180 days – You’ll be able to use a scientific approach to identify and propose new features or improvements that would benefit the project and collaborated with the team to implement them. You’ll now be able to write some code end-to-end: data processing, model training, implement new endpoints in the backend, and show some (raw, non-styled) results in frontend. You’ll have explored and contributed to other projects within W&D to better understand the end-to-end lifecycle of a financing opportunity.