WHAT YOU'LL BE DOING:
A TIFIN Division, TIFIN Wealth is a collection of personalization capabilities powered by AI and investment intelligence that allow advisors, wealth managers, and other intermediaries to deliver better individual outcomes. TIFIN Wealth is an AI-powered financial services platform focused on driving outcomes through personality & risk assessments, micro-plans, natural language investment selection, portfolio optimization, and more.
We are looking for a Data Scientist to join this team and focus on improving algorithm quality for our Wealth Intelligence packages, reporting to the Head of Algorithms and Analytics at TIFIN. The ideal candidate has strong modeling and analytics skills as well as a degree in statistics, applied mathematics, computer science, or some other related field.
You must be a motivated and tenacious self-starter who is comfortable interpreting technology requirements, based on business requirements, and implementing them with maximum impact to the users. You will be expected to develop technology that minimizes technical debt while maximizing the customer experience. This is a high impact role on a lean team that is results-and execution-oriented. We are a team of do-ers!
THE ROLE:
- Design and implement solutions associated with a wide variety of unstructured text data, used for data/text mining, analysis to enable informed business decisions
- Gains insight into key business problems and deliverables by applying statistical analysis techniques to examine unstructured and structured data from multiple data sources
- Responsible for modeling complex business problems and discovering insights through the use of statistical, algorithmic, and visualization techniques
- Responsible for following consistent practices to ensure data integrity and deal with imperfections in data
- Responsible for creating meaningful data visualizations to communicate results and highlight business impact; utilize various techniques and delivery methods of visualization that are audience-appropriate
- Uses current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via an increasing understanding of the business model and the information available for analysis
- Finds patterns in the data and finding correlation in related or unrelated variables
WHO YOU ARE:
- 2+ years of data science experience, ideally in the Wealth Management industry or a startup environment
- Experience with machine learning, statistical modeling, predictive modeling, text mining, and topic modeling
- Strong familiarity with unstructured data
- Advanced analytic programming skills, data mining and building models in Python
- Knowledge of ML Python packages and tools, particularly those developed for NLP techniques
- Experience with Big Data Tools, such as SQL and Spark
- Ability to work comprehensively with a variety of databases (Postgres, MySQL, MongoDB, etc.)
- Experience with modern data technologies (ie Redshift, Snowflake, Athena, Postgres)
- Proficient in managing product development deadlines, overcoming roadblocks, and managing expectations
- Must be able to drive appropriate documentation including requirements and technical documentation
- Bachelor's in computer science or related field, ideally with a Masters of PhD degree
- Ability to thrive in a highly demanding, entrepreneurial, and fast-paced environment
- Highly flexible, good tolerance for ambiguity, and able to quickly adapt to changing priorities
- A top performer with a proactive approach who has a "doer" & problem-solver mentality
- An exceptional team player with strong communication skills
- A local presence in Denver or Boulder is preferred
COMPENSATION AND BENEFITS PACKAGE:
For Colorado Applicants: The expected starting salary range for this position in Colorado is between $120,000 - $160,000. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. The position is also eligible for incentive compensation as well as client acquisition bonus programs.