Strategic finance AI Expert
Télétravail au CanadaWeekday AI
3+ ansCandidates need a finance, economics, business or data science degree and 3-8 years in strategic finance, consulting, investment banking or FP&A. They need strong financial modeling skills, hands-on Python, SQL or advanced Excel, and clear executive communication.
Python, SQL, Excel, AI/ML frameworks
Risk & Actuarial AI Expert
Télétravail au CanadaWeekday AI
2+ ansCandidates need a degree in actuarial science, mathematics, statistics, data science or a related field, and 2 to 8 years of experience in actuarial analysis, risk management or insurance analytics. Strong Python or R skills, catastrophe modeling experience and clear communication with non-technical stakeholders are required.
Python, R, Cloud-based analytics platforms, Catastrophe models
Ledger and reconciliation AI Expert
Télétravail au CanadaWeekday AI
2+ ansCandidates need 2-8 years of experience in ledger management, reconciliations or financial controllership, plus hands-on intercompany accounting experience. A finance-related bachelor's degree is required, a CA is preferred, and exposure to AI or automation finance tools is highly desirable.
SAP, Oracle, NetSuite, ERP systems, reconciliation tools
Insurance Underwriting AI Expert
Télétravail au CanadaWeekday AI
2+ ansCandidates need a degree in insurance, actuarial science, data science, statistics or a related field, plus 2-8 years in insurance underwriting, analytics or insurance AI. They must know machine learning, Python, R, SQL and data visualization tools.
Python, R, SQL, rating engines, underwriting systems
Insurance Policy Administration AI Expert
Télétravail au CanadaWeekday AI
2+ ansCandidates need a degree in insurance, actuarial science, computer science or data science, plus 2-7 years in insurance operations or insurance AI. They need strong knowledge of policy language, NLP and ML techniques, and Python, SQL and TensorFlow or PyTorch.
Python, SQL, TensorFlow, PyTorch, Guidewire, Duck Creek
Insurance Claims Management AI Expert
Télétravail au CanadaWeekday AI
2+ ansCandidates need a degree in computer science, data science, actuarial science or insurance, and 2-8 years in claims, analytics or AI/ML roles. They must know the claims lifecycle and have hands-on machine learning experience with Python, TensorFlow or PyTorch, plus NLP, computer vision or document processing.
Python, TensorFlow, PyTorch
Financial reporting AI Expert
Télétravail au CanadaWeekday AI
2+ ansCandidates need a bachelor's degree in accounting, finance or a related field (CA or CPA preferred), 2-7 years in financial reporting, accounting or audit, and hands-on close and ERP experience. AI, automation and data analytics exposure is highly desirable.
SAP, Oracle, NetSuite, SQL, Python
Financial planning & analysis (FP&A) AI Expert
Télétravail au CanadaWeekday AI
3+ ansCandidates need 3 to 8 years of FP&A, financial modelling or corporate finance experience, and a bachelor's degree in finance, accounting, economics, data science or a related field. Advanced Excel, familiarity with AI/ML in finance, and strong communication skills are required.
Excel, Python, SQL, Power BI, Tableau, Anaplan
Financial modeling AI Expert
Télétravail au CanadaWeekday AI
2+ ansCandidates need 2 to 7 years of financial modeling or corporate finance experience and advanced Excel skills, including three-statement and DCF models. Python or AI/ML tools, strong communication skills and a finance, economics or related degree are also needed.
Excel, Python, Power BI, Tableau
Compliance and controls AI Expert
Télétravail au CanadaWeekday AI
2+ ansCandidates need strong GAAP and IFRS knowledge, proven internal controls and audit experience, and hands-on work with revenue recognition and leases. Automation or analytics skills in finance, plus CA or CPA credentials, are preferred.
ERP systems, financial reporting tools, RPA tools
Capital allocation AI Expert
Télétravail au CanadaWeekday AI
2+ ansWeekday AI needs candidates with 2 to 8 years of capital allocation, investment analysis or strategy consulting experience and a finance, economics, engineering or data science degree. Strong financial modeling, applied AI/ML for forecasting, and Python, SQL or Excel skills are required.
Python, SQL, Excel