AI Data Scientist

Posted 2 Hours Ago
Be an Early Applicant
8 Locations
In-Office
100K-250K Annually
Senior level
Financial Services
The Role
Own the modeling and statistical lifecycle for enterprise AI initiatives. Build predictive models for anomaly detection, workflow forecasting, and risk mitigation; analyze and wrangle large-scale financial data; validate accuracy and bias; ensure regulatory compliance; create training datasets; establish model performance KPIs; and communicate quantitative findings to business and technology stakeholders.
Summary Generated by Built In
Position Summary

The AI Data Scientist will own the modeling and statistical lifecycle of enterprise AI initiatives. The role will partner with business operations to structure financial data, build predictive models, and ensure AI investments deliver high-accuracy insights that reduce risk and improve decision-making. The role requires a rigorous quantitative expert who can balance complex statistical analysis with strict financial regulatory standards and drive alignment across business and technology teams.

Key Responsibilities
  • Develop and train advanced predictive models for anomaly detection, workflow forecasting, and risk mitigation
  • Perform deep statistical analysis and data wrangling within large-scale enterprise environments
  • Validate model accuracy rigorously, test for bias, and ensure all outputs meet strict financial compliance standards
  • Partner with business leaders to understand the nuance of financial data and transform raw inputs into training datasets
  • Establish KPIs tied to model accuracy, prediction precision, and false-positive reduction
Qualifications
  • 5+ years of experience building and validating predictive models in a corporate or financial environment
  • Demonstrated ability to apply advanced statistics and machine learning to deliver measurable business outcomes
  • Deep expertise in statistical analysis, Python, R, and data science frameworks
  • Ability to work effectively with operational teams to understand data context without needing constant translation
  • Strong understanding of financial datasets and the regulatory constraints surrounding automated decision-making
  • Ability to present complex quantitative findings to non-technical stakeholders
  • Operator mindset with a focus on execution and analytical outcomes

Ultimus is an equal opportunity employer and does not discriminate on the basis of the applicant’s or employee’s race, color, religion, national origin, ancestry, gender, sexual orientation, age, disability, veteran or military status, genetic information, citizenship or any other status entitled to protection under federal, state or local anti-discrimination laws. No questions on our employment application are intended to secure information that is to be used for impermissible purposes.

Skills Required

  • 5+ years of experience building and validating predictive models in a corporate or financial environment
  • Advanced statistics and machine learning experience delivering measurable business outcomes
  • Deep expertise in statistical analysis, Python, R, and data science frameworks
  • Ability to work with operational teams to understand data context independently
  • Strong understanding of financial datasets and regulatory constraints surrounding automated decision-making
  • Ability to present complex quantitative findings to non-technical stakeholders
  • Execution-focused operator mindset with emphasis on analytical outcomes
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The Company
1,200 Employees
Year Founded: 1999

What We Do

Ultimus Fund Solutions is an independent provider of full-service, technology-enhanced fund administration, accounting, and investor solutions. It serves fund and asset managers through post-trade administration and investment-operations support, including fund accounting, transfer-agent and shareholder services. Its platform supports public, private, and hybrid investment vehicles, and the company administers mutual funds, hedge funds, and private-equity funds with integrated technology and high-touch client service.

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