CI Financial

Data Science and Analytics Manager

CI Financial$100K — $130K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4-6+ years of experience in data science or analytics roles.
  • 2-3+ years of experience managing teams and complex data environments.
  • Background in Financial Services, consulting, or high-growth technology environments preferred.
  • Distinguished academic track record in a quantitative discipline.

Responsibilities

  • Lead data science and analytics team, ensuring effective delivery of dashboards and reports.
  • Develop data solutions that provide actionable insights to stakeholders.
  • Implement data validations to maintain data integrity and quality.
  • Address ad-hoc analysis requests with accurate and clear insights.
  • Maintain detailed documentation of data sources and transformations.
  • Translate stakeholder needs into precise data specifications for enterprise analytics.

Benefits

  • 401(k) Plan with Employer Matching
  • Multiple subsidized Medical Plan options
  • Employer paid Dental, Vision, Life, and AD&D Insurance
  • Paid Short-term and Long-term Disability
  • Paid Maternity and Parental Leave
  • Flexible Spending Accounts & Health Savings Accounts
  • Corporate Discount Program - Perkspot
  • Training Reimbursement and support for paid Professional Designations
  • Volunteer days for community engagement.
Full Job Description

Key Responsibilities

  • Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics development and documentation.

  • Data solutions. Develop and maintain data solutions, such as descriptive, diagnostic, predictive, and prescriptive analytics focused on enabling decision making, optimization, and measurable business impact for key functional and business stakeholders. Develop and maintain dashboards, recurring reports, and analytical outputs.

  • Data quality assurance. Implement data validations to ensure integrity of data solutions. Ensure that data processes and outputs are robust, insightful, and timely.

  • Ad-hoc analytics and insights. Promptly address ad-hoc analysis requests with clear, well-structured outputs rooted in accurate data and focused on delivering actionable insights.

  • Documentation. Maintain clear documentation of data sources, logic, data transformations, lineage, and outputs.

  • Cross-functional data science and analytics support. Translate stakeholder needs into clear data specifications to meet business requirements. Act as a senior subject matter expert for enterprise analytics and reporting.

Qualifications
  • 4-6+ years of experience in data science or analytics roles.

  • 2-3+ years of experience managing teams and complex data environments.

  • Background in Financial Services, consulting, or highgrowth technology environments preferred.

  • Distinguished academic track record in quantitative discipline.

Skills and competencies
  • Proficiency in SQL, DBT, and Python in a data science context; proficiency in Tableau a strong plus.

  • Strong command of best practices for data modeling, data transformations, and data quality frameworks to support scalable, enterprise grade data products.

  • Strong analytical, problem-solving, and critical thinking skills.

  • Effective communication, both orally and in writing.

  • Strong documentation and attention to detail.

  • Ability to work independently and collaboratively in a fast-paced, dynamic environment, demonstrating strong organization, prioritization, and follow-through.

This position description is intended to provide a general overview of the expectations and responsibilities of this position and may not include all tasks that may be assigned. As the nature of business demands change, so may the functions of this position. Additional duties and responsibilities may be assigned with or without notice.

Physical Requirements

  • This position requires the physical capabilities to work in an office environment, which may include prolonged periods of sitting at a desk and working on a computer. Corient seeks to make reasonable accommodations that enable individuals with disabilities to perform essential duties when possible.

  • This position may require the ability to lift up to 15 pounds.

  • This position is required to work onsite 4 days per week.

U.S. Eligibility Requirements

  • Must be 18 years of age or older.

  • Must have unrestricted work authorization to work in the United States. For U.S. employment opportunities, Corient hires U.S. citizens or permanent residents. Exceptions to these requirements will be determined based on shortage of qualified candidates with a particular skill. Corient will require proof of work authorization.

What You Can Expect from Us

Our dedication to the Employee Experience at Corient is aimed at supporting, empowering, and inspiring our talented team through:

  • 401(k) Plan with Employer Matching

  • Four Medical Plan options that is generously subsidized by Corient

  • Employer paid Dental, Vision & Life and AD&D Insurance

  • Employer paid Short-term & Long-term Disability

  • Paid Maternity & Parental Leave

  • Flexible Spending Accounts & Health Savings Accounts

  • Dependent Care FSA

  • Commuter & Transit FSA

  • Corporate Discount Program - Perkspot

  • Training Reimbursement

  • Paid Professional Designations

  • Giving back to the community - Volunteer days

About CI Financial

CI Financial is a diversified wealth management firm and one of the largest investment companies in Canada. The company offers a wide range of investment products and services, including mutual funds, ETFs, segregated funds, and alternative investments. CI Financial serves individual investors, financial advisors, and institutional clients across Canada and around the world. The company was founded in 1965 and is headquartered in Toronto, Canada.
Learn more about CI Financial
Size
1,793 employees
Market Cap
$1.7 billion
Industry
NASDAQ

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