Quant Analytics - Associate Chase- Candidate Experience page

5.0 - 9.0 years

0 Lacs

karnataka

On-site

As a skilled professional in the field of financial analysis and banking products, you will be responsible for conducting detailed quantitative analysis to forecast key account performance and profitability measures. Your expertise will be crucial in designing analytical frameworks, particularly focusing on Return on Equity (RoE). Additionally, you will play a key role in developing pricing strategies by aligning credit and product strategies, translating goals into actionable pricing roadmaps, and creating test plans for each portfolio. Collaboration with cross-functional teams, including Product, Risk, Fraud, and Collections, will be essential to execute strategies that meet credit goals effectively. You will be expected to contribute to the development and implementation of metrics to track portfolio performance, as well as enhancing financial models to assess the impact of strategic decisions on the Profit & Loss (P&L) statement. Your proficiency in in-depth data analysis will be instrumental in producing clear insights with significant financial implications. Moreover, your role will involve working closely with leadership to establish achievable financial targets aligned with long-term organizational goals. This position requires a Bachelor's degree in Engineering or a quantitative field, with an MBA (Finance) or CFA considered advantageous. A minimum of 5+ years of experience in analytical and financial roles, particularly within the banking sector, is essential. In this role, excellent verbal and written communication skills are paramount, along with superior financial modeling skills and experience in financial analysis. Proficiency in Microsoft Office tools, especially Excel and PowerPoint, is key, and experience with data extraction and analysis tools such as SQL, Alteryx, Python, Databricks, and Snowflake is highly valued. Preferred qualifications include knowledge of Tableau, experience in discounted cash flow valuation, and flexibility to work in EMEA shift timings. Your ability to work independently on complex business problems and provide data-driven insights will be crucial in driving the success of the organization.,

Posted 1 week ago

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Marketing Analytics Trainer English Arcade

3.0 - 7.0 years

0 Lacs

maharashtra

On-site

As an experienced Marketing Analytics Trainer, you will have the opportunity to deliver a comprehensive classroom training program for our Brand Design and Activation Team based in Mumbai (Vikhroli). This program spans over 23 full days and is aimed at 1011 professionals involved in Content Marketing, Digital Marketing, Social Media Marketing, and Campaign Creation & Activation. Your role will involve designing and facilitating a program titled "Marketing Analytics: Data-Driven Decision Making" tailored to Brand Managers, Brand Activation Leads, and Product Marketing Professionals. The primary objective of this program is to equip participants with the knowledge and skills to leverage analytics for marketing decision-making effectively. Throughout the training, you will guide participants to understand the four key types of analytics - Descriptive, Diagnostic, Predictive, and Prescriptive - and demonstrate how each type contributes to informed marketing strategies. Moreover, you will enable participants to translate data insights into actionable marketing plans, utilizing both qualitative and quantitative research tools to extract valuable customer insights. Your expertise will be pivotal in connecting research outcomes to decisions related to brand positioning, campaign development, and product innovation. By integrating analytics and customer insights, you will help create a cohesive decision-making framework aligned with the overarching business goals of the organization. To excel in this role, you are required to have a proven track record in Marketing Analytics training or similar corporate workshops. A strong understanding of data-driven marketing practices and analytical frameworks is essential, along with the ability to engage effectively with cross-functional teams from various departments such as brand, product, and digital. Additionally, the inclusion of hands-on examples and relevant industry use cases in your training sessions is highly preferred to enhance the learning experience for the participants.,

Posted 1 month ago

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Data Analyst – SAS & SQL Avant Garde

4.0 - 9.0 years

13 - 23 Lacs

bengaluru

Work from Office

Are you a data-driven professional with strong experience in SAS and SQL Do you have a passion for retail banking analytics, campaign management, and working on data transformation projects If so, we have an exciting opportunity for you! Location: Bangalore Experience: 49+ Years Compensation: 1325 LPA Notice Period: Immediate to 15 days preferred Key Responsibilities: Design and implement analytics solutions using SAS and SQL. Partner with campaign management teams to track effectiveness and improve ROI. Develop customer segmentation models to drive targeted campaigns. Automate legacy processes using Python and Dataiku. Work on data migration and modernization initiatives. Deliver actionable insights from retail banking data. Collaborate with business stakeholders to align analytics with strategic goals. What Were Looking For: Proficiency in SAS and SQL is a must. Hands-on experience in campaign tracking and retail banking analytics. Familiarity with Python, Dataiku, or similar tools for automation and transformation. Strong domain knowledge in retail, banking, and campaign management. Bachelor's or Master's in Statistics, Data Science, or Business Analytics. Excellent analytical thinking, communication, and team collaboration skills.

Posted Date not available

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