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.
Quantitative researcher to help build out a systematic macro (futures, FX, and vol) strategies.
Compensation
The annual base salary range for this role is $150,000-$200,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package.
Responsibilities
Develop systematic trading models across FX, commodities, fixed income, and equity markets
Alpha idea generation, backtesting, and implementation
Assist in building, maintenance, and continual improvement of production and trading environments
Evaluate new datasets for alpha potential
Improve existing strategies and portfolio optimization
Requirements
Masters or PhD in mathematics, statistics, physics or other quantitative discipline. PhD in statistics or machine learning is a plus
Nice to have: PhD in statistics or machine learning
Analytical partner to Springer Nature's China Marketing team, combining analytics, consultancy, and stakeholder collaboration to drive better business outcomes.
Responsibilities
Partner with local marketing stakeholders to adapt and extend the marketing KPI and metrics framework
Partner with local marketing stakeholders and the wider Marketing Optimisation & Impact team to shape measurement approaches
Manage and analyse large and complex datasets from multiple sources using SQL and Python or R on cloud-based data platforms
Apply statistical methods, modelling techniques, and strong quantitative skills to support marketing optimisation and impact measurement
Support experimental design and advise on the interpretation of test results and experimentation best practices
Requirements
Nice to have: dbt
Nice to have: Modern analytics engineering practices
Nice to have: Chinese academic and research landscape
Assist large banks and insurance companies with systems managing credit risk, develop and validate statistical models, perform stress testing, and communicate results to project teams.
Compensation
Salary: 1600 €/month
Responsibilities
Analysis of financial and other data
Developing and validating statistical models
Working with data, evaluating statistical tests
Working on client projects
Communicating results to colleagues/clients
Requirements
University education in the field of mathematics, statistics, or econometrics
Lead the data and analytics capability across CRM, web analytics, social listening, and paid media measurement, driving commercial growth and client engagement in Malaysia.
Responsibilities
Lead the data and analytics capability across CRM, web analytics, social listening and paid media measurement
Set the analytical direction and roadmap for the team
Build and execute client-specific data strategies
Lead audience-first thinking using first-party data, segmentation and modelling
Guide advanced web analytics from GA4 implementation to BigQuery-based analysis
Requirements
Bachelor's degree
Advanced degree in a quantitative field (preferred)
Marketing Mix Modeling (MMM) Consultant responsible for building, calibrating, and interpreting marketing mix models to help clients measure and optimize media investments.
Responsibilities
Develop and implement Marketing Mix Models using open-source frameworks including PyMC, Google Meridian, and Meta Robyn
Conduct data preparation, cleaning, and exploratory analysis on media spend, sales, and external factor datasets
Apply Bayesian and regression-based MMM techniques to quantify channel contribution, ROI, and diminishing returns curves
Collaborate with client stakeholders to gather requirements, present model outputs, and translate results into actionable media recommendations
Support model validation, sensitivity analysis, and scenario planning to guide budget optimization decisions
Quantitative Researcher - MacroPoint72 · New York
Head of Data & AnalyticsPublicis Groupe Holdings B.V · Kuala Lumpur, Malaysia