Senior actuarial advisor commercializing predictive modeling and advanced analytics for Desjardins insurance pricing. Deploying innovative capabilities across Personal and Commercial Insurance.
LP
Data Architect – MDM & Data Quality
Posted via LinkedIn Recruiter (not a company profile)
Posted 4 months ago
About the role
- Lead complex entity resolution projects as a Data Architect – MDM & Data Quality, supporting Capital Markets with innovative data architectures.
Responsibilities
- Develop and communicate a long-term vision for client hierarchy and entity resolution strategies. Design and implement entity resolution algorithms utilizing AI, probabilistic, deterministic, and machine learning techniques. Analyze and profile large datasets to identify duplicate, related, or conflicting records using AI-driven methods. Create data matching and linking rules to enhance entity resolution accuracy. Evaluate, select, and integrate appropriate tools and technologies such as Python, SQL, Spark, and MDM solutions. Collaborate closely with analytics teams to deliver clean, governed datasets for reporting and modeling. Monitor, evaluate, and optimize the performance of entity resolution processes, focusing on precision, recall, and scalability. Document methodologies, data flows, and rules to ensure transparency and regulatory compliance. Support data quality initiatives by identifying and resolving data integrity issues through AI-enabled techniques.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field. 5+ years of experience in data management, data quality, entity resolution, or AI/ML roles. Strong understanding of entity resolution, data quality, and master data management concepts. Proficiency in SQL, data analysis, and data profiling. Skilled in programming languages such as Python, Alteryx, Java, or equivalent. Demonstrated experience with data matching, record linkage, and de-duplication methodologies. Hands-on experience with large-scale data processing frameworks like Apache Spark or Hadoop. Familiarity with Master Data Management (MDM) tools or commercial entity resolution platforms. Knowledge of entity resolution vendors (e.g., Quantexa, Knights Analytics) and Golden Source data models.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Scientist defining rigorous evaluation systems for AI models and agents. Improving quality and safe rollout at Alpaca, a global brokerage - infrastructure company.
Lead Data Scientist building production ML for Life360’s family safety and tracking products. Driving revenue experimentation, personalization, advertising, and subscription growth.
Data Scientist developing network - based financial - crime detection for TD Bank. Building models, visualizations, and decision - support tools to prioritize high - risk customer connections.
Data Scientist developing machine - learning models for The Athletic’s sports media platform. Optimizing subscriptions, workflows, experiments, and personalized article recommendations.
Data Scientist at Desjardins, a financial services cooperative, developing advanced analytics, machine learning and AI models. Advising stakeholders and supporting data - driven business decisions.
Data Scientist building IFRS 9, behavioural, and predictive credit - risk models for Financeit’s Canadian point - of - sale financing platform. Automating analytics and translating borrower data into actionable risk insights.
Scientifique de données principal optimisant acquisition, fidélisation et monétisation chez Shakepay, plateforme canadienne de services financiers Bitcoin. Pilotage de l'expérimentation, de l'analyse statistique et des décisions de croissance.
Senior Data Scientist developing machine learning and LLM solutions for Qventus, transforming healthcare operations. Building production models, experiments, and data pipelines that improve patient outcomes.
Data Scientist developing statistical and machine learning algorithms to detect bots and fraud. Supporting HUMAN Security’s platform that protects enterprises and internet platforms from cybercrime.