What Dallas based AM Firm is this?

THE COMPANY

Based in Dallas- Fort Worth, a specialized asset management firm is growing.. It utilizes applied intelligence to unlock the full potential of real estate, a massive market that defines the American Dream. The team is creating innovative and actionable algorithms to reveal research-based secrets pulled from massive data sources, in order to get ahead of today's market and take the next biggest step in growing out AUM for not only their firm but carving a path for all AM firms moving forward. The core business is focusing on building automated decisioning tools using artificial intelligence and machine learning to drive our complex pricing models and provide a base for long-term and short-term loan performance prediction models, all contributing to overall asset sales.

"We are a dynamic, diverse and agile team that genuinely values mutual respect, learning, experimentation, and results!"

THE ROLE

Aiming to harness the value of our operations team's immense collection of data is a huge business initiative, and the firm wants to hire a highly-skilled Data Scientist to drive innovation for future success. The role is senior level team member who is a deep thinker and will have a powerful voice in driving company growth. They live to create hypotheses, solve problems, and present any and all assumptions back to essential stakeholders by owning the solution from end to end. If freedom, autonomy and head scratching professional challenges rock your world, we could be a great match. Some responsibilities include:

Building prototype code for integration of new algorithms to exploratory analysis, construct relevant variables, and perform sample design
Defining data requirement to build complex predictive models to drastically improve business operations
Research and development for data-driven analysis on structured and unstructured data sets
Act as key consultant to recommend and develop innovative solutions
Analyzing large, complex data sets, solving problems using advanced statistical and Machine Learning techniques
Work collaboratively with engineering and product management teams to integrate new quantitative features and product enhancements
YOUR SKILLS AND EXPERIENCE

The successful Principal Data Scientist will likely have the following skills and experience:

MS or PhD degree (preferred) in Mathematics, Physics, Statistics, or Computer Science;
Applied Machine Learning experience on LARGE datasets, with commercial experience in building predictive models
Prior experience with advanced Mathematic and statistical modeling, and applying it to data mining methods (GLM/Regression, Trees, Clustering, SVM, Time Series analysis etc.)
FLUENT in Python and/or R, as well as SQL programming!
Skilled in data warehousing, cleaning/transforming data for future engineering, and leveraging visualization tools
You are highly team-oriented, focusing on COLLABORATION and INTELLECTUAL CURIOSITY
Strong verbal and written STORYTELLING abilities
Bonus: Mortgage or Real Estate experience!
THE BENEFITS

Machine Learning| Python| Tableau| SQL| Data Science| Statistics| Mortgage | Real Estate | Trading

 

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Career Advancement Opportunities

March 2024 Investment Banking

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  • Goldman Sachs 19 98.8%
  • Harris Williams & Co. (++) 98.3%
  • Lazard Freres 02 97.7%
  • JPMorgan Chase 03 97.1%

Overall Employee Satisfaction

March 2024 Investment Banking

  • Harris Williams & Co. 18 99.4%
  • JPMorgan Chase 10 98.8%
  • Lazard Freres 05 98.3%
  • Morgan Stanley 07 97.7%
  • William Blair 03 97.1%

Professional Growth Opportunities

March 2024 Investment Banking

  • Lazard Freres 01 99.4%
  • Jefferies & Company 02 98.8%
  • Goldman Sachs 17 98.3%
  • Moelis & Company 07 97.7%
  • JPMorgan Chase 05 97.1%

Total Avg Compensation

March 2024 Investment Banking

  • Director/MD (5) $648
  • Vice President (19) $385
  • Associates (86) $261
  • 3rd+ Year Analyst (13) $181
  • Intern/Summer Associate (33) $170
  • 2nd Year Analyst (66) $168
  • 1st Year Analyst (202) $159
  • Intern/Summer Analyst (144) $101
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