Junior Data Scientist

WHO WE ARE

TIFIN builds the AI operating layer for wealth. Our platform delivers agentic workflows across the industry's core personas—investors, advisors, investment teams, and operations—so financial institutions can move faster, serve more clients, and deliver better outcomes with the same (or fewer) resources. We combine finance-native AI, specialized data, and enterprise-grade controls to deploy secure, compliant capabilities into real production environments.

WHAT SETS US APART

• Speed: We build and ship quickly—MVPs in ~3 months, production-ready products in ~6–12 months.

• Track Record: Prior exits include 55ip (acquired by J.P. Morgan) and Paralel Technologies

• Strategic Partners: Partners include J.P. Morgan, SEI, Franklin Templeton, Morningstar, Broadridge, Motive Partners and Tectonic Ventures.

• World-Class Team: Complimentary expertise across AI and financial services, with experience from Google, Microsoft, Uber, PayPal, eBay, BlackRock, LPL, Franklin Templeton, Morgan Stanley, Broadridge and more.

OUR VALUES

• 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 Junior Data Scientist, you will contribute to the ML growth engine behind TIFIN AMP — a production machine learning platform driving acquisition, expansion, retention, and distribution intelligence across wealth enterprises and asset managers. This is an individual contributor role with close collaboration with senior data scientists, engineering, and customer success. You will gain hands-on exposure across the full ML lifecycle while growing your skills in a fast-moving, finance-native AI environment.

PROJECTS

• Client Retention & Churn Prevention. Build early-warning models that detect signals of potential client attrition, allowing advisors to proactively intervene.

• Asset Consolidation. Develop predictive models that identify clients most likely to consolidate additional assets with the firm, enabling advisors to proactively deepen relationships and increase assets under management.

• Cross-Sell & Wallet Share Growth. Design models that identify the highest-propensity opportunities for additional products and services within existing client relationships.

• Advisor & Prospect Prioritization. Create scoring frameworks that rank advisors and prospects by growth potential, enabling sales teams to focus on the most impactful opportunities.

• Product–Advisor Matching. Develop models that predict product–advisor fit and likelihood of engagement, improving targeting and accelerating product adoption.

WHAT YOU'LL DO

• Participate in the full ML lifecycle under senior guidance: EDA → feature engineering → training → validation → deployment → monitoring.

• Support end-to-end model implementation for one or more enterprise clients.

• Help engineer feature pipelines across AUM, transactions, CRM, and third-party datasets.

• Work with AWS (SageMaker, Redshift, S3) and/or Snowflake environments.

• Assist in designing A/B tests and control frameworks to measure lift in inflows and conversion.

• Translate model outputs into clear, actionable intelligence used daily by advisors and wholesalers.

WHAT YOU'LL BRING

• 1–2+ years of experience in data science, ML engineering, or a related quantitative field (internships and academic projects count).

• Foundational supervised learning knowledge and eagerness to deepen it in production environments.

• Exposure to consumer behavior modeling, time-series, or lifecycle analytics is a plus.

• Proficiency in Python and SQL; familiarity with AWS or Snowflake is a bonus.

• Strong communication skills and a bias toward shipping measurable, tangible impact.

• Curiosity, humility, and a desire to learn fast in a collaborative, high-growth environment.

COMPENSATION AND BENEFITS

$100,000 – $125,000 USD

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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