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As a Quantitative Marketing Researcher, you will drive shareholder value by supporting executive decisions with business recommendations anchored on data-driven insights. Equipped with actionable-oriented quantitative analysis, you will improve the quality of business decision making process. You will work as an internal consultant and partner with marketing leadership and business owners to optimize product portfolio, create new products, and reshape business models. Ultimately, you will solve strategic problems that drive go-to-market actions through bottoms-up data exploration, modeling, and sound fact-based business judgment. Role requires the ability to work collaboratively in a team environment and to influence key stakeholders to drive business outcomes.

Data analytics

• Drives positive outcomes by identifying business opportunities through formulating and testing hypotheses using rigorous analytical data-driven approach
• Conducts customer behavior analytics informed by statistics/predictive modeling. Translates customer needs and insights into actionable business levers
• Performs postmortem analyses to assess economic returns of key marketing and credit policy investment decisions

Financial modeling

• Evaluates value creation opportunities in pricing, marketing investments, credit policy, and distribution channels by developing data-driven optimization models
• Develops complex, dynamic, probability-based simulators that model relationships between key business drivers and provide a quantitative perspective of risk-reward profile for alternative business choices  

Communication

• Creates executive-level presentations and presents complex analytical findings in a clear and concise manner. Possesses the ability to influence leadership through fact-based analyses

Qualifications:

• Skillful at solving new, unstructured problems. Conceptualizes sophisticated hypothesis and data-driven analysis
• Analyzes, synthesizes disparate data sources. Ability to work with multiple data sources. Familiar with structured programming languages (SQL, C, Python)
• Delivers against simultaneous priorities in a fast-paced environment. Works comfortably in ambiguous, fluid client situations
• Intellectually curious, analytically rigorous. Passionate about research, leaves no stone unturned in the pursuit of business truth
• BS, MS, or PhD in finance, economics, engineering, operations research, applied math, or related field required
• 4+ years of related work or academic experience focused on financial modeling, business analytics, business strategy, data science, decision science, engineering, operations research, math and/or related fields