Senior Data Specialist, Enterprise Fraud Analytics

Definity Financial$73K — $123K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • University degree in Computer Science, Data Science, Mathematics, Software Engineering, or related field (Master's degree preferred).
  • 2-5 years of professional experience in a related role.
  • Advanced proficiency in SQL and Python with expertise in data processing and model development.
  • Knowledgeable in machine learning techniques including tree-based models, regression, and neural networks.
  • Experience with Google Cloud Platform (GCP) and Vertex AI is a significant advantage.
  • Familiarity with Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Strong communication and organizational skills; bilingual (English/French) is a bonus.

Responsibilities

  • Design and train machine learning models to identify fraudulent behaviors and anomalies.
  • Utilize supervised and unsupervised techniques to build robust fraud detection algorithms.
  • Conduct exploratory data analysis (EDA) to assess data feasibility and establish baseline metrics.
  • Develop internal automations and data retrievals to enhance the analytics team's efficiency.
  • Draft detailed technical documentation regarding model architecture and evaluation metrics.

Benefits

  • Hybrid work schedule for most roles.
  • Company share ownership program.
  • Incentive Program based on individual and company performance.
  • Pension and savings programs, including company-matching RRSP contributions.
  • Paid volunteer days and company matching for charitable donations.
  • Educational resources and tuition assistance with paid study time for exams.
  • Focus on inclusion with employee support programs.
  • Wellness and recognition programs.
  • Discounts on products and services.
Full Job Description
Job Description

The Opportunity

Reporting to the Manager, Enterprise Fraud, the Senior Data Specialist, is a core member of the Enterprise Fraud Analytics team. This role focuses on designing, training, and evaluating advanced machine learning models and predictive analytics to detect and prevent insurance fraud. The candidate will also support Enterprise Fraud strategic priorities and support Fraud Savings initiatives.

Operating in a highly collaborative environment, this role works alongside Business Analysts and the Special Investigations Unit (SIU). The Senior Data Specialist will leverage Google Cloud Platform (GCP) to extract predictive signals from claims, policy, and third-party data and build internal data infrastructure for fraud intelligence and model training. This role is critical in transforming complex fraud detection requirements into robust datasets and extracting predictive signals from structured and unstructured data, ensuring mathematical rigor, sound model evaluation, and explainability of AI solutions.

What to Expect
  • Design, train, and iterate on machine learning models and AI solutions to identify fraudulent behavior and anomalies. Utilize a variety of supervised and unsupervised techniques (e.g., classification, clustering, anomaly detection) on structured and unstructured datasets to build robust fraud detection algorithms. Focus on Natural Language Processing (NLP), Generative AI, and Agentic workflows to extract actionable fraud indicators.
    Conduct rigorous model evaluation (precision, recall, FPR) and threshold tuning. Champion Explainable AI (XAI) by utilizing methods like SHAP values or LLM reasoning traces to ensure model outputs are transparent, interpretable, and trusted by non-technical SIU investigators.
  • Work closely with SIU stakeholders to understand emerging fraud schemes. Conduct in-depth EDA using SQL and Python to assess data feasibility and establish baseline metrics. Design and maintain internal automations and scheduled data retrievals to improve the operational efficiency of the analytics team.
  • Draft technical documentation detailing model architecture, assumptions, limitations, and evaluation metrics. Promote software engineering best practices (version control, CI/CD) and work with compliance teams to ensure AI solutions adhere to data privacy standards (PII/PHI) and algorithmic fairness guidelines.


What you Bring
  • University degree in Computer Science, Data Science, Mathematics, Software Engineering, or a related quantitative discipline. (Master's degree is an asset).
  • 2-5 years of professional experience in a relevant role.
  • Advanced proficiency in SQL and Python (pandas, scikit-learn) for complex data extraction, data processing, and model development.
  • Broad foundational knowledge of machine learning techniques (e.g., tree-based models, regression, clustering, neural networks). Experience with GCP and Vertex AI is a strong asset.
  • Experience with Natural Language Processing (NLP), text classification, and Large Language Models (LLMs) / prompt engineering.
  • Strong understanding of the ML lifecycle and version control systems.
  • Experience implementing Explainable AI (XAI) techniques to translate complex model decisions to business stakeholders is an asset.
  • Insurance industry knowledge, Fraud Risk Management, and strong business acumen are assets.
  • Strong communication (oral/written) and organizational skills. Bilingual in English/French is an asset.


Salary Range: $73,500-$123,500

What's in it for you?
  • Hybrid work schedule for most roles
  • Company share ownership program
  • Incentive Program - Eligible employees may participate in various incentive plans which are paid out at the discretion of the company and subject to individual and company performance.
  • Pension and savings programs, with company-matched RRSP contributions
  • Paid volunteer days and company matching on charitable donations
  • Educational resources, tuition assistance, and paid time off to study for exams
  • Focus on inclusion with employee groups, support for gender affirmation surgery, access to BIPOC counsellors, access to programs for working parents
  • Wellness and recognition programs
  • Discounts on products and services

Go ahead and expect a lot - you deserve it.

#LI-Hybrid

About Definity Financial

Definity Financial Careers

Joining Definity Financial presents an unparalleled opportunity to become part of a leading team of professionals in the financial services industry. This is a prime time for candidates to explore the diverse job opportunities at Definity Financial, a company renowned for its commitment to innovation, leadership, and professional growth.

Explore Career Opportunities

Definity Financial is actively seeking talented individuals for various positions across the company. From entry-level roles to senior leadership positions, Definity Financial offers a dynamic work environment where career growth is encouraged and supported by comprehensive benefits and diversity training programs.

Innovation and Professional Growth

At Definity Financial, innovation isn't just a buzzword; it's the cornerstone of the company's operations. Employees are encouraged to bring fresh ideas and perspectives to the table, driving the company forward in the competitive financial sector. Professional growth is facilitated through targeted training programs, leadership development opportunities, and active networking events that connect employees with industry leaders.

Cultivating a Diverse and Inclusive Culture

Definity Financial is committed to fostering a diverse and inclusive culture where all team members feel valued and respected. The company believes that diversity fuels innovation and enhances the team's ability to address client needs effectively. Through comprehensive diversity training and inclusive hiring practices, Definity Financial ensures that all employees have the opportunity to succeed.

Internship Programs and Entry-Level Positions

For those starting their careers, Definity Financial offers robust internship and entry-level positions that provide hands-on experience in the financial sector. Interns at Definity Financial gain invaluable insights into the industry, working alongside seasoned professionals and participating in projects that have real-world impact.

Benefits and Employee Well-being

Employees at Definity Financial enjoy a range of benefits designed to support their health, well-being, and financial security. The company's benefits package includes health insurance, retirement plans, and flexible working arrangements, ensuring that employees can balance professional and personal commitments effectively.

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Definity Financial is hiring! Explore open positions that match your skills and interests. The company is looking for passionate, curious, and solution-driven team players. Whether you are refining your resume, preparing for an interview, or seeking to advance your career, Definity Financial offers a supportive environment where your ambitions can take flight.

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