Quant Analytics Associate - Card Analytics
Ver: 103
Dia de atualização: 06-05-2024
Localização: Bengaluru / Bangalore Karnataka
Categoria: Finanças / Banco / Estoque Tecnologia da Informação
Indústria: Financial Services
Conteúdo do emprego
In this position the candidate will be responsible for solving complex business problems through deep quantitative and qualitative analysis to influence growth and marketing initiatives of consumer branded cards businesses including Freedom, Slate & Sapphire. The ideal candidate will be an expert in synthesizing data to drive business decisions with a passion for business strategy and analytics
Key responsibilities include:
- Will own and support marketing analytics for card product/s to solve for business problems and enable business growth. A key area of analytical exercise is to evaluate effectiveness of marketing campaigns and perform P&L evaluation
- Candidate has to have advanced working knowledge of tools like SAS, Python, SQL to perform data engineering. Ability to synthesize large volumes of data into meaningful insights and drive actionable strategies in card services.
- Perform advanced analytics to develop customer segmentation leveraging modeling tools to develop framework for differentiated offering strategies to drive marketing efficiencies.
- Interact regularly with business units, understand business goals and priorities and play the role of an effective partner to devise strategies with customer focused analysis and performance to realize growth opportunities. Support business growth targets by understanding business needs and providing concise, insightful and timely analytics for key trends through data analysis.
Qualifications:
- BS/BA/MS in an analytical field (e.g., Statistics, Applied Mathematics, Computer Science, Finance).
- Expert in SAS/SQL. Proficiency with programming languages such as R/Python
- Working knowledge of advanced statistical concepts (essential) and machine learning techniques (Nice to have)
- Experience with manipulating large and complex databases and developing appropriate data models to evaluate and solve business problems
- Strong oral and written communication skills
- Understanding of credit card P&L is preferred
- Minimum 4-7 years of work experience
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as any mental health or physical disability needs.
Data limite: 20-06-2024
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