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WHO WE ARE
TIFIN builds AI-powered financial technology that personalizes and improves financial advice across consumers, advisors, workplaces, and institutions. Our modular platform embeds finance-tuned AI to deliver dynamic, tailored guidance at scale—without added complexity. Combining proprietary models, specialized data, and a fast-paced engineering culture, we create secure, compliant tools that power real outcomes. Other differentiators include:
- Speed: Our ability to stand up businesses at 2-4x the speed of typical fintech companies (building MVPs in 3 months and production-ready products in 6-12 months)
- Track Record: Previous exits include 55ip (acquired by J.P. Morgan) and Paralel
- Strategic Partners: Partners include J.P. Morgan, Franklin Templeton, Morningstar, Broadridge, Hamilton Lane, Motive Partners and SEI.
- World-Class Team: Complimentary financial services & technical expertise from Google, Microsoft, Uber, PayPal, eBay, Techstars, BlackRock, LPL, Franklin Templeton, Morgan Stanley, Broadridge and more.
OUR VALUES: Go with your GUT
- Grow at the Edge. We are driven by personal growth fueled by a beginner’s mindset. We get out of our comfort zone and keep egos aside. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.
- Understanding through Listening and Speaking the Truth. We communicate with authenticity, precision and integrity to create a shared understanding. We identify opportunities within constraints and propose solutions in service to the team.
- I Win for Teamwin. We believe in staying within our genius zones to succeed and taking accountability for driving results. We are all individual contributors first and always thinking about what can be better.
ROLE OVERVIEW
As a Data Scientist you will own and lead projects across one or more of our supervised machine learning product lines. We are looking for individuals who have worked end-to-end and have experience building products where machine learning models are a core component. This is an individual contributor role working closely with data science, engineering, client success and business leadership, reporting into the CEO.
PROJECTS
- Supervised ML Models: Build, train, and validate supervised machine learning models to predict engagement, churn and conversion and deliver lead scoring, segmentation, and recommendations.
- ML & Product Integration: Work with engineering teams to integrate models into the platform.
- Human-in-the-Loop Collaboration: AI-powered co-pilot for advisors and other user personas, streamlining workflows such as prospecting, conversion, and client servicing.
- Seamless Legacy Tech Integration: Designed to navigate and optimize legacy systems for streamlined operations.
WHAT YOU'LL DO
- Design and implement solutions to deliver measurable ROI within our clients’ fund distribution channels
- Develop across the Data Science pipeline, from feature store ETL to batch transform jobs with trained ML models
- Model complex fund distribution problems and discover insights through the use of statistics, machine learning, and visualization techniques
- Create meaningful data visualizations to communicate results and highlight business impact
WHAT YOU'LL BRING
- 4+ years of experience in applied data science
- Experience shipping ML products, including feature engineering, training, and tuning machine learning models
- Domain expertise in asset or wealth management is a plus
- Resilience and adaptability - experience working at early-stage startups is a plus
COMPENSATION AND BENEFITS
The expected starting salary range for this position in Colorado is $140,000 – $160,000.
In addition to cash compensation, a meaningful equity stake is a significant part of the overall package. Package also includes benefits program eligibility: Comprehensive health, dental and vision coverage, retirement benefits and flexible PTO.
TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.
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