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Lead Solutions Analyst, Kinexys Technology
Lead solutions analysis for fintech programs, translating business needs into technical solutions using data analytics and AI-assisted workflows.
Data Scientist and Analytics Consultant
Build and deploy ML models on cloud infrastructure to analyze telecom, media, and broadband data, using Python, Spark, and GenAI for business insights.
Portfolio Reporting SPG CRE India, Senior Manager, Fixed Income Division
Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve…
AI / ML Engineer
Build production-grade AI systems using LLMs, deep learning, and cloud AI services, including GenAI models, chatbots, and image processing.
AI / ML Engineer
Build and deploy generative AI models, NLP systems, and deep-learning pipelines on cloud platforms to power business decisions and conversational AI.
Analyst - BI, Reporting and Data Visualization 5B
Builds BI dashboards and reports using SQL, Power BI, and Excel to analyze business data and support decision-making.
Business Intelligence & Data Visualization Manager
Business Intelligence & Data Visualization Manager The actual location of this job is in Colmar, France. Relocation assistance is available for eligible candidates and their families, if needed. Join Lonza's…
Senior Consultant - Data Analytics & Transaction Monitoring Scenario Tuning
Senior consultant tunes anti-money-laundering transaction-monitoring rules for a UAE bank, analyzing alert data and thresholds to cut false positives while meeting regulatory requirements.
Chubb Life Global Office: Customer Service Product Owner
Leads customer experience strategy for Chubb Life’s life insurance products, defining omnichannel service models and driving data-driven improvements in satisfaction, loyalty, and engagement through cross-functional collaboration.
Data Science Trainee
Train to become a Data Analyst by learning Excel, SQL, Python, Tableau, and earning CompTIA Data+ and BCS certifications to secure an entry-level role.
Digital Associate Director (Data Engineer)
Job Title: Digital Associate Director (Data Engineer) Career Level: E Introduction to role: Are you ready to build the data backbone of a next‑generation, digitally enabled manufacturing site? In this role, you will…
Quality Data Analytics Specialist
Build and maintain data-quality controls, validations, and dashboards for a global manufacturing data ecosystem using SQL, ETL, and Power BI.
Compliance Reporting - Assistant Manager
Roles & responsibilities The candidate will support cybersecurity reporting, executive communications, and data-driven insights to enable informed risk and business decisions. The role requires strong analytical…
Assistant Manager - Analytics\..RBG - Analytics
Role Purpose The Assistant Manager – AI & Machine Learning will support the development of advanced analytics and AI-driven solutions to enhance digital banking performance, customer engagement, and marketing…
Data Analytics- AI Platforms
Analyzes AI platform usage, token consumption, and licensing to build forecasting models and executive dashboards that drive cost optimization and business value for enterprise AI investments.
Program Coordinator
Supports healthcare program management by analyzing data, tracking budgets, and creating reports in Excel and PowerPoint to guide leadership decisions.
Healthcare Data Analyst
Analyzes healthcare data to build reports and dashboards that drive decisions; uses SQL, Tableau, Power BI, Databricks, and AI/ML to transform claims, EMR, and quality metrics into insights.
OM Bank - Senior Credit Quantitative Analyst: Impairment, Credit & Regulatory Reporting
Senior analyst builds and maintains IFRS 9 impairment models (PD, EAD, LGD, macroeconomic) to measure expected credit losses and supports regulatory reporting for a South African bank.
OM Bank - Credit Quantitative Analyst
Build and monitor credit risk models and scorecards for secured lending portfolios using SQL, Python or SAS, then translate outputs into pricing and portfolio decisions.