Marketing Model Job at Heirloom Hospitality (Birmingham)

Analyst (Marketing Mix Modeling)

As an Analyst, you’re a key enabler in supporting how our customers improve the ...

Location

United States , Cary

Salary:

63000.00 - 75000.00 USD / Year

Keen Decision Systems

Expiration Date

Until further notice

Requirements

2+ years of experience in a combination of any of the following in academic or professional experience: Marketing Analytics
SaaS Customer Success
Data Cleansing & Management
You love business software
You love Excel
You love data
You love looking at, organizing, and playing with data in Excel
You love PowerPoint
You know how valuable it is to put together a good deck, and you love doing it
You love to do good work

Job Responsibility

We will teach you how to use all the features of the Keen Platform to drive our Client’s desire to measure marketing and make investment decisions differently
Provide and Teach Data Manipulation and Management Services
Direct data aggregation, cleansing, and uploading into the Keen Platform
Data Source integration support with Client Users
Provide and Teach Model Quality Checks
The Keen Platform generates a model of the Client’s business - you will review the inputs and outputs of these models to ensure the model meets our quality standards as well as supports our account strategy
QC includes checking for model statistical fit, tactic ROIs, data quality, and narrative support
Collaborate with Sr Analysts to suggest changes to models if needed, to improve model health and support the narrative the Client is looking for
Provide and Teach Support Plan Optimizations
You will be responsible for configuring and running Optimized Marketing Plans that align to the Account Director strategy and/or Client’s planning goals

What we offer

Competitive compensation package
Keen’s commitment to a Conscious Culture work environment means that: Our work week is Monday - Thursday. Your Friday is yours to use as you desire
Fully remote work from anywhere within the United States

Fulltime

Market Risk Senior Analyst

This position provides an opportunity for an experienced risk analyst with solid...

Location

Poland , Warsaw

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5+ years of experience
experience in one or more of the following fields: quantitative risk modelling, market risk management practices, risk regulations, numerical computation, statistics or data analysis, financial model development, application or validation
strong hands-on IT skills, for example, with Python, SQL, Unix
sound knowledge of statistical modelling concepts and industry best practices
experience with econometric and statistical modelling or application risk scoring
excellent quantitative and analytic skills
ability to derive patterns, trends and insights
experience working in big data environments
intellectual curiosity to stay abreast of technological advances
demonstrated initiative and proactive approach

Job Responsibility

construct covariance matrices for historical periods of stress for various portfolios
identify and address specific needs of Citi legal entities within EMEA region to meet local regulatory expectation in market risk modelling
work with existing market risk models and provide solutions where weaknesses are identified in testing or where new business needs require model enhancements
develop RNIV models to quantify non-standard market risks of complex products
research, support, enhance and maintain market risk models
design and develop in-house software for quantitative analysis
interact confidently with other risk management teams, the front office, technology and control groups
model and explain the behavior of a complex portfolio of vanilla and exotic derivatives with greeks and risk factor simulations
understand differences between regulatory regimes around the globe
perform advanced analytics with hundreds of thousands of risk factor time series

What we offer

private medical care program
life insurance program
pension plan contribution (PPE program)
employee assistance program
paid parental leave program (maternity and paternity leave)
sport card
holidays allowance
sport and team recreation activities
special offers and discounts for employees
access to an array of learning and development resources

Fulltime

Product Marketing Manager

Our client is a growing CPG brand seeking a Product Marketing Manager to plan a ...

Location

United States , Dallas Fort-Worth area

Salary:

120000.00 - 130000.00 USD / Year

80Twenty

Expiration Date

Until further notice

Requirements

Bachelor’s degree in marketing, Business, or related field
5+ years in product marketing, product management, or CPG portfolio management
Background in nutrition, supplements, wellness, or consumer packaged goods preferred
Proven experience with reformulations, product updates, or packaging refreshes
Strong project management and cross-functional collaboration skills
Excellent communication and storytelling abilities
Analytical mindset with experience leveraging data for decision-making
Knowledge of dietary supplements, nutrition, wellness, or CPG preferred

Job Responsibility

Lead qualitative and quantitative research to uncover consumer needs and validate concepts
Analyze category trends, competitive activity, and channel-specific dynamics (DTC, Amazon, retail) to shape strategy
Act as the voice of the customer across all projects
Own product claims, messaging, and substantiation in partnership with Regulatory/Legal and R&D
Ensure all communications are compliant, clear, and compelling
Translate product features into consumer benefits that resonate across channels
Serve as project owner in the stage-gate process for reformulations and new product launches
Drive alignment, timelines, and cross-functional accountability to deliver projects on time and in scope
Coordinate approvals and go/no-go decisions with leadership
Partner with Brand, Digital, Creative, and R&D to ensure alignment on messaging, benefits, and claims

What we offer

Healthcare coverage
PTO
401k with full match
annual bonus

Fulltime

Senior Associate - Capital Markets

The Senior Associate will report to the Senior Director – Capital Markets and wo...

Location

United States , Charlotte

Salary:

Not provided

Asana Partners

Expiration Date

Until further notice

Requirements

Deep understanding of and experience with real estate capitalization and principal ownership
Proven track record of developing relationships and managing commercial real estate capital markets transactions
Excellence in Excel, Word, and PowerPoint
Argus Enterprise experience strongly preferred
Advanced Excel modeling experience required
Strong work ethic, self-motivated, and capable of effective independent judgment
Acute attention to detail and passion for quality

Job Responsibility

Execute and manage financing transactions including secured and unsecured credit facilities, subscription facilities, private debt placements, cross-collateralized mortgages, property mortgages, and interest rate swaps and derivatives
Partner with cross-functional teams within Asana Partners to add insight on debt capital markets activity related to acquisition underwriting, dispositions, structured investments, asset management, leasing, and redevelopment
Provide primary oversight on post-closing debt financing portfolio management, reporting, and ancillary business opportunities
Manage debt investments including senior mortgages, mezzanine financings, and preferred equity
Source back leverage for debt investments including A/B notes, note-on-note financings, and repo/warehouse facilities
Provide advanced modeling and technical support for debt capital markets financing activities including balance sheet strategy and sources and uses planning
Manage and cultivate relationships with lenders, debt placement agents, and sponsors
Implement and maintain best practices in CRM and data management

Fulltime

Senior Data Scientist –GCP Focus (Marketing Analytics)

At Valtech, you’ll find an environment designed for continuous learning, meaning...

Location

Brazil

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
Advanced English proficiency

Job Responsibility

Contribute to production readiness through monitoring
incident response support
and operational runbooks to meet agreed service levels
Conduct root-cause analysis of production issues that lead to adverse model outputs
Design
build
and optimize marketing mix models (MMM)
attribution models
and other econometric or causal models using marketing data
Select and implement appropriate machine learning models for time-series forecasting

What we offer

Flexibility
with remote and hybrid work options (country-dependent)
Career advancement
with international mobility and professional development programs
Learning and development
with access to cutting-edge tools
training and industry experts

Fulltime

Senior Data Scientist- GCP Focus (Marketing Analytics)

Ideal candidates will bring a strong quantitative background and a disciplined a...

Location

Colombia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
Advanced English proficiency

Job Responsibility

Contribute to production readiness through monitoring, incident response support, and operational runbooks to meet agreed service levels
Conduct root-cause analysis of production issues that lead to adverse model outputs
Design, build, and optimize marketing mix models (MMM), attribution models, and other econometric or causal models using marketing data
Select and implement appropriate machine learning models for time-series forecasting, supply-chain optimization, and marketing performance use cases
Contribute well-tested, maintainable code to existing object-oriented Python codebases
Analyze raw, large-scale datasets to deliver meaningful impact for enterprise clients while maintaining scientific rigor
Engineer data pipelines and data products that enable stakeholders to make informed, data-driven marketing and business decisions
Communicate analytical insights in a clear, intuitive, and visually compelling manner for marketing, product, and executive audiences
Create highly visual and interactive dashboards using Tableau, Power BI, Looker, or custom web applications
Conduct deep-dive analyses and design KPIs to measure marketing effectiveness, ROI, incrementality, and business growth

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Model/Analysis/Validation Officer

Build market risk models for the purpose of regulatory capital calculation and s...

Location

United States , Tampa

Salary:

134000.00 - 180218.00 USD / Year

Citi

Expiration Date

June 17, 2026

Requirements

Requires a Master’s degree, or foreign equivalent, in Financial Mathematics, Mathematics, Statistics, or related field and 4 years of experience as a Model/Analysis/Validation Officer, Model/Analysis/Validation Senior Analyst, Model/Analysis/Validation Intermediate Analyst or related position developing tools for measuring financial models to ensure the reliability, accuracy, and stability of quantitative models used in risk management. Alternatively, employer will accept a Bachelor’s degree in the stated fields and 6 years of progressively responsible, post-baccalaureate experience in the stated positions. Full span of experience must include: Supporting market risk analytics projects in FRTB, CCAR, and ICAAP
Developing market risk models for quantifying market risk exposure for trading books and for calculating regulatory capital
Implementing new models, resolve production issues and enhance existing implementation
Calibrating model parameters, performing variance analysis
Perform ongoing analysis of models, including backtesting and profit attribution analysis (PAA)
Engaging market risk managers
Developing and maintaining technical documentation
and Utilizing quantitative methodologies including linear and non-linear regression, Monte Carlo Simulation, Numerical analysis method, Scenario Analysis and stress testing frameworks.

Job Responsibility

Build market risk models for the purpose of regulatory capital calculation and stressing testing in order to ensure compliance with global regulatory frameworks while providing critical insights into the firm's exposure to market fluctuations
Conduct model changes and address model limitations to improve the model performance in response of regulatory requirement or Front office request
Develop and implement market risk model methodologies, algorithms, and diagnostic tools, integrating quantitative risk measuring work (including backtesting, sensitivity analysis, assumption analysis, data quality, model reliability, stability, and stress testing) to ensure model robustness, performance, and to assess and monitor model limitations
Work with market risk management systems, data flow, data definition and data requirements for various trading products, and conduct multiple analyses to meet risk managers and business needs
Collaborate with various working groups, senior model developers, risk managers, business clients, model validators, Risk IT, internal and external auditors, and regulators to assist with Model Risk Management and fulfill internal risk management requirements
Conduct on-going model performance analysis to discover, understand and quantify model limitations, providing comprehensive interpretations, explanations, and conclusions for resolving model issues
Work within Windows and Linux as programming environment and use Python, R, and SQL
Develop, maintain and enhance technical documentation including project plans, model description, mathematical derivations, data analysis, process and quality controls.

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Fulltime

Equity Capital Markets Placement Analyst Internship

The Intern Analyst is an intermediate level position responsible for assisting c...

Location

Germany , Frankfurt am Main

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

0-2 years of relevant experience
Knowledge of the global or domestic business landscape is a plus
Proficiency in Microsoft office
Consistently demonstrates clear and concise written and verbal communication skills
Desire to develop knowledge of the financial industry
Proven commitment to integrity and ethical decision-making
Demonstrated ability to remain unbiased in a diverse working environment
Bachelor's degree/University degree or equivalent experience

Job Responsibility

Participate in client mergers, acquisitions, divestitures, financial restructurings, underwriting, and distributing equity, debt, and derivative securities
Collect and analyze company information to assist with various activities, including conducting industry research, and the revision and organization of financial data
Analyze data and develop financial models, including company valuations, discounted cash flow analysis, financing, and comparative analyses
Create and finalize new business development presentations
Coordinate tasks with internal and external working teams
Prepare required internal documentation, including control and compliance regulations
Participate in Citi's mentorship program, which provides further training and guidance
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets

What we offer

Mentorship program
Global benefits supporting well-being, growth and work-life balance

Fulltime

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