Assist the Regional APAC Real Estate Director in developing a comprehensive macro property strategy across APAC markets, ensuring timely completion of regional network planning to support new store development.
Responsibilities
Assist the Regional APAC Real Estate Director in developing a comprehensive macro property strategy across APAC markets
Lead the analysis and evaluation of potential new store locations, including site assessment, market catchment analysis, and sales forecasting
Gather and analyse market and competitor data, conduct research on various regional business districts and communities, and generate strategic insights to support new store development projects
Produce evaluation and analysis reports, ensuring that new site selections align with company standards, and establish a database containing information on target area business districts, commercial entities, and community projects
Serve as the primary contact for the company’s appointed data supplier, overseeing data delivery, data quality, and integration into analytical models
Requirements
Bachelor's degree in Real Estate, Geography, Business Administration, or data-related field
Support credit risk analytics activities across model development, independent validation, monitoring, and business reporting.
Conduct data extraction, reconciliation, quality checks, and analytical review using tools such as SQL, SAS, Python, Excel, and PowerPoint.
Translate analytical findings into clear insights and communicate results to model development, validation, business, and risk stakeholders.
Maintain clear documentation of analysis, validation observations, reporting logic, assumptions, and key findings.
Assist in the development and enhancement of IFRS 9 models, including PD, LGD, EAD, expected credit loss, and related risk estimation frameworks.
Requirements
Masters in Finance, Financial Engineering, Analytics or Mathematics, Computer Science, Statistics, Industrial Engineering, Operations research, or related field.
Masters in Mathematics/Statistics/Economics/Engineering or any other related discipline.
The Data Scientist brings deep expertise in classical AI/ML, statistics, and advanced analytics to Fairview Health Services’ AI & Automation program. The role frames complex problems, develops and validates data science approaches, builds solutions, and assesses models.
Responsibilities
Translate clinical and operational challenges into testable questions, data requirements, scientific approaches, and measures of success.
Assess technical feasibility and recommend suitable analytical or AI/ML approaches for internal and partner initiatives.
Develop and validate statistical and machine-learning models or independently review and approve models developed by others.
Partner with MLOps to transition validated models into supported use.
Design reproducible analyses, experiments, and validation plans.
Requirements
B.S./B.A. in a quantitative field such as Statistics, Computer Science, Engineering, Applied Mathematics, Epidemiology, or Health Informatics
Supporting replenishment and inventory planning strategies across 140+ retail locations and distribution centers by analyzing historical sales data, vendor performance, and SKU-level trends.
Compensation
The pay range for this position is $55,000 - $63,870 annualized and is bonus eligible.
Responsibilities
Analyze category-level trends to generate insights that inform replenishment strategies and safety stock levels.
Develop and maintain reports and dashboards (Power BI, Excel, Looker) to support daily inventory decision-making.
Track vendor performance, including fill rates, lead time analysis, delivery schedules, and compliance metrics.
Collaborate with category teams, replenishment analysts, and demand planners to align on forecast needs and ordering strategies.
Build and refine data models to support forecast reviews and drive inventory efficiency.
Requirements
Bachelor’s degree in Data Science, Supply Chain, Computer Science, or a related field of study
Responsible for developing analytics and reporting to assist in the identification and evaluation of all risks related to Consumer Credit. Uses analytical frameworks and modeling techniques to drive bottom-line profitability.
Compensation
The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education, and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.
Responsibilities
Generate and develop monthly, quarterly and ad-hoc reporting
Gather and prepare complex data for modeling and analysis
Develop and execute models, segmentation, and policy in market
Project business impacts and monitor and track against the commitments
Create and present convincing business cases to support recommendations
Requirements
Bachelor's degree in quantitative discipline (e.g. science, technology, engineering, math, or economics)
Master’s degree in quantitative discipline (e.g. statistics, data sciences, business analysis, finance, mathematics, or economics) preferred
Performs all phases of large complex model development, validation, and performance management for various types of projects including data aggregation, model design, model selection, testing, documentation, validation, implementation, and execution.
Compensation
$92,820.00 - $109,200.00
Responsibilities
Performs all phases of large complex model development, validation, and performance management.
Handle data aggregation, model design, model selection, testing, documentation, validation, implementation, and execution.
Interact directly with senior managers requiring advanced levels of presentation and relationship building skills.
Progress to a subject matter expert in one or more areas.
Partner with business leaders to drive value creation through financial and business leadership, develop long‑range scenario models, and provide financial insights to support strategic decision making.
Responsibilities
Manages a team of financial analysts
Provides functional support to business units
Leverages Financial Centers of Expertise
Partners with senior leadership
Prepares and communicates deliverables to senior management and Board of Directors
Requirements
Bachelor’s degree in Business, Finance, Accounting or related field
Nice to have: Master’s degree in Business, Finance, Accounting or related field
Partner with business leaders to drive value creation through financial and business leadership, develop long‑range scenario models, and provide financial insights to senior management and the Board of Directors.
Responsibilities
Manage a team of financial analysts
Provide functional support to business units
Leverage Financial Centers of Expertise for insights
Partner with senior leadership for resource allocation
Prepare and communicate deliverables to senior management and Board
Requirements
Bachelor’s degree in Business, Finance, Accounting or related field
Develop and enhance FICO Scores with the latest data and state-of-the-art decisioning techniques; design and develop exploratory analyses and predictive models; support new and existing products through analytic investigations; document methods and results.
Compensation
The targeted base pay range for this role is: $88,000 to $121,000 with this range reflecting differences in candidate knowledge, skills and experience.
Responsibilities
Develop and enhance FICO Scores with the latest data and state-of-the-art decisioning techniques
Design and develop exploratory analyses and predictive models to solve business problems
Support new and existing products through analytic investigations for internal teams and clients
Document your methods and results thoroughly and explain them clearly to technical and non-technical colleagues
Requirements
Bachelor’s Degree in Computer Science, Data Science, Engineering, Physics, Statistics, Mathematics, Operations Research or other Quantitative Science Field
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