Join a team where your expertise in analytics and machine learning shapes the future of customer engagement. Experience a culture that values curiosity, collaboration, and growth.

As a Quant Analytics Senior Associate within the Cards Marketing Growth & Innovation function, you will be supporting the Pricing strategy team In India. You will work closely with functional partners across the firm, including other Business Managers, Product, Finance, Business Control, Legal, Risk and Compliance. The role requires a strategic leader and thinker passionate about driving solutions in Quant Analytics and serve as a leader of an agile team to design and deliver trusted market-leading analytics in a secure, stable, and scalable way. As a Quant Analytics Senior associate in Credit Card Pricing team you will be focused on defining, refining and delivering set goals for pricing business and responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objective.

This role will own and drive the analytical book of work during Pricing Strategies Roll out for enhancing Credit card pricing for Consumer & Community Banking customers.

Job responsibilities

• Drive and contribute towards the analytical book of work for pricing strategy rollouts, enhancing credit card pricing for Consumer & Community Banking customers.
• A deep understanding of Pricing Business & data analytical techniques, and well versed with analytical research, experimentation and empirical work.
• Lead, Mentor, hire, and develop a high-performing team of Analytics professionals/ engineers/analysts; promote a culture of scientific rigor, ethical AI, and continuous learning.
• Maintain a pragmatic view of GenAI/LLMs as complementary tools (e.g., narrative generation for cases, unstructured doc parsing) while prioritizing classical/statistical/graph analytical methods for core pricing strategy workstreams.
• Design and implement highly scalable and reliable data analytics processes and perform analysis and insights to drive and optimize business result
• The candidate will be responsible for conducting extensive analysis of pricing functionality and settings as well as customer behavior to improve existing pricing related strategies and policies using advanced research, programming, and quantitative techniques.
• Own and support strategic pricing initiatives. Key responsibilities will include: evaluate effectiveness and perform profit & loss analysis, which seeks to quantify both statistical and practical significance.
• Solve unstructured business problems and develop deep dive analysis of customer behavior using multiple analytics and statistical techniques.
• Conduct hypothesis testing and use advanced experimental design techniques - Design and execute A/B tests and multivariate tests to measure impact of effectiveness of pricing strategies and post-performance measurement.
• Carries a consulting mindset to understand opportunity areas for driving profitability through analytical recommendations.

Required qualifications, capabilities, and skills

• Qualified graduate / Post-Graduation degree in a quantitative discipline; Computer Science, Statistics, Mathematics, Finance, Economics or Machine learning related field.

• Hands-on analytics experience with 6+ years in banking, covering marketing, credit risk, fraud, or related risk domains.

  Hands on solid skills in advanced analytics with SAS/Python or R language

• Proven leadership delivering Strategic analytics across various business workstreams with Advanced Python skills; strong experience with ML frameworks.
• Familiarity with supervised learning, anomaly detection, semi-supervised learning, clustering, feature stores, and with imbalanced learning and pricing sensitivity evaluation.
• Excellent communication skills to translate and explain complex business scenarios and problems , and influence cross-functional stakeholders and senior leadership.
• People leadership: recruiting, coaching, performance management, and fostering an inclusive, high-accountability culture.
• Exposure to enterprise AI enablement, LLM-assisted workflows, or analytics transformation programs and workflows.

• Strong statistical and econometric foundation with hands on experience on Pricing analytics , including elasticity estimation, A/B testing, causal inference and experimentation frameworks.

• Evaluate opportunities to apply AI / GenAI / intelligent automation to improve investigative analysis, control documentation, operating procedures, knowledge retrieval, issue summarization, and workflow efficiency.
• Foster positive relationships and collaborate seamlessly across diverse teams and organizational levels.
• Lead and manage multiple tasks, demonstrating agility and prioritization in a dynamic, fast-paced setting.

Preferred qualifications, capabilities, and skills

• Communicate effectively and build strong professional relationships.
• Adapt to working within the 1 PM to 10 PM IST shift schedule.
• Apply knowledge of key profit and loss factors to pricing strategies.
• Maintain a focus on achieving results with a high level of accuracy.