3 Analytical Dashboards Jobs

Responsibilities will include: Functional Expertise: You will be responsible for designing, developing, and implementing robust risk policies and procedures for Unsecured/Secured Revenue based, Supply Chain, and Invoice based financing, ensuring alignment with the organization's risk appetite and regulatory requirements. This will involve conducting comprehensive risk assessments and analysis for unsecured lending portfolios, identifying potential risks and opportunities to enhance risk-adjusted returns. You should be able to independently conduct Credit Underwriting for higher ticket size [Up to Rs. 5 Crs] proposals for Unsecured Revenue Based/Supply Chain/Invoice Financing. Additionally, overseeing credit risk management activities, BRE rules, underwriting standards, and portfolio monitoring to optimize portfolio performance is crucial. Staying updated on regulatory developments and ensuring strict compliance with relevant regulations, guidelines, and industry standards pertaining to unsecured/secured lending for Revenue Based/Supply Chain/Invoice Financing for higher ticket size will be part of your responsibilities. Collaboration with relevant stakeholders, including partners, Business Team, Operations, legal, tech, Compliance, and other support teams to integrate risk alignment with the overall organizational goal is essential. Engaging in regular Credit Quality Review, tracking key Credit Metrics, identifying and gathering critical information pertaining to Credit Risk on the lending book, and suggesting credit risk mitigation strategies as a part of regular and ad-hoc presentations to management is also required. Technical Skills: You should have expertise in Credit Underwriting [Ticket size up to Rs. 5 Crs] and Credit Policies. A strong proficiency in MS Excel and Powerpoint presentations is necessary. Creating analytical Dashboards for the Portfolio will also be part of your technical skillset. Problem Solving: Demonstrating strong analytical skills and the capability to understand complex issues to come up with mitigants/solutions is crucial. You should maintain a strictly positive attitude with a strong capability to come up with problem-solving solutions. Challenges & Decisions: You must have the capability to make prompt decisions in various situations and work towards structuring the Risk function effectively. Qualifications & Experience: Candidates with a CA/MBA (Finance) qualification and experience in Banking/NBFC Lending Business are preferred. A minimum of 15 years in Risk Policy/Banking with relevant experience of 7-8 years in Risk Policy and Credit roles, including experience in both Risk Policy and Credit Underwriting, is desirable. Skills & Know-how: Skills required for this role include Credit Underwriting for Unsecured higher ticket size [RBF/SCF], Credit Policy formulation, and a strong command over MS Excel and MS Powerpoint.,

As a Data Product Analyst at Wells Fargo, you will be responsible for participating in low to moderate complexity data product initiatives. Your role will involve identifying opportunities for data roadmap improvements within your scope of responsibilities to drive data enablement and capabilities across platforms and utilities. You will review and analyze basic business, operational, or technical assignments that require research and evaluation to drive data enablement strategies. Additionally, you will present recommendations for resolving data product situations, collaborate with stakeholders to understand business requirements, and manage datasets focusing on consumer needs and data governance standards. Moreover, you will participate in the creation and maintenance of data product roadmaps, gather data requirements, and communicate data problems and initiatives effectively to all audiences. Required qualifications include 2+ years of data product or data management experience, or equivalent demonstrated expertise in maintaining and improving data quality across the organization. Your responsibilities will also involve participating in analysis to identify and remediate data quality issues, adhering to data governance standards, and designing data governance and data quality policies. Furthermore, you will support regulatory analysis and reporting requirements, work with business and technology partners to document metadata about systems, and assess the current state of data quality. Desired qualifications for this role include experience in large enterprise data initiatives, managing data entry processes, resolving data quality issues, banking business or technology experience, and familiarity with BI tools and cloud concepts. In addition, knowledge of T-SQL, database, data warehousing, ETL concepts, BI solutions, Agile principles, and various technical skills are preferred for this position. As a Data Product Analyst, you are expected to assist in implementing data processes, monitor data flows, ensure consistent data definition across systems, collaborate with data engineers, and resolve data quality issues. The posting end date for this job is 17 Jul 2025, with the possibility of early closure due to the volume of applicants. Wells Fargo values equal opportunity and encourages applications from all qualified candidates. The company maintains a drug-free workplace and requires candidates to represent their own experiences during the recruiting and hiring process. If you require a medical accommodation during the application or interview process, you can visit Disability Inclusion at Wells Fargo for assistance. Third-party recordings are prohibited unless authorized by Wells Fargo, and candidates should adhere to the company's recruitment and hiring requirements.,

Duties and Responsibilities: Large scale data analysis and data mining to come up with portfolio insights for both Retail and WBG portfolio Statistical modeling (ML / regression models) and segmentation thru decision tree to help solving key business problems Help plan and design business processes and make recommendations for improvement Assist in resolving business issues using systems and data Estimate costs and benefits of multiple actions and/or solutions and provide recommendations Help launch new initiatives, campaigns, analytical solutions, along with robust tracking Help in running standard and analytical dashboard/ MIS Requirement: Experience : 6+ years in analytics industry ( Finance / Banking industry preferred ) B Tech/ MBA from premier institute Knowledge of SQL is must with high proficiency Knowledge on statistical model building is must (Logistics regression, Linear regression etc) Knowledge of Python/ R is preferred Knowledge of Statistics Linear Regression, Exploratory Data Analysis, etc. Excellent critical thinking and problem-solving skills Good written and verbal communication skills Detail-oriented with strong organizational skills Location: Mumbai