AVP, Strategy Sciences

This is a fully remote position, open to applicants in India.

📋 Description

• Accountable for designing data-driven strategies that foster sustainable customer growth, enhance portfolio performance, and propel enterprise business results.

• Merges advanced analytics, strategic insight, and business leadership to uncover emerging opportunities, influence decision-making processes, and achieve measurable impacts across Acquisition and Account Management functions.

• Oversees high-impact strategy science projects by utilizing advanced analytics, experimentation, machine learning, and profound business insights to address intricate business challenges.

• Collaborates closely with senior business executives, model development teams, technology departments, and cross-functional stakeholders to establish strategic priorities and convert insights into scalable solutions.

⛳️ Requirements

• A Bachelor’s degree along with 5+ years of experience in data analytics/strategy within Credit, Marketing, Risk, or Collections in the financial services sector, or alternatively, 7+ years of experience in data analytics/data sciences in Marketing, Risk, or Collections within financial services without a Bachelor’s degree.

• At least 5 years of experience utilizing statistical/analytics tools such as SAS, SQL, Python, and/or visualization platforms (e.g., Tableau).

• Expert-level skills in Presentation and Excel.

• A minimum of 3 years of experience supporting retail lending products (e.g., credit cards, installment loans, unsecured lending).

• A strong grasp of the consumer lending lifecycle, credit card portfolios, customer acquisition, portfolio management, and decision-making strategies, with the capacity to translate business goals into data-driven solutions.

• Proven experience in steering high-impact analytics, strategy science, or data science projects that yield measurable business outcomes in a strategy, risk, fraud, or decision-making context.

• An advanced analytical toolkit with expert proficiency in SQL and SAS, coupled with a solid working knowledge of Python (or similar programming languages) for advanced analytics, machine learning, automation, and scalable solution development.

• Demonstrated experience in customer segmentation, predictive modeling, experimentation, optimization techniques, performance measurement, and strategy formulation.

• Exceptional stakeholder management and executive communication skills, with a proven ability to influence senior leaders and foster alignment across cross-functional teams without direct authority.

• Experience collaborating with Business Strategy, Product, Technology, Model Development, Data Engineering, and Operations teams to deliver scalable analytical solutions and enterprise capabilities.

🏝️ Benefits

• Best-in-class employee benefits and programs tailored to support work-life integration and overall well-being.

• Opportunities for career advancement and upskilling.