6 Probabilities Jobs

Job Description: A successful candidate would work as an EXL consultant with a leading Financial Services Organization on an unsecured lending portfolio. The job will require the consultant to work on: Support tactical & strategic risk analytics initiatives for Mexico based banks Risk team Design A/B testing frameworks with Design of Experiments (DOE) methodology to optimize risk management programs Policy analytics to make sure correct customer segments are targeted and acquired Evaluate effectiveness of current policies & strategies, manage the monthly dashboards and ad-hoc analysis, analyze tests & performance related to funnel performance, portfolio verification performance and post issuance loan performance Develop and maintain effective working relationships with colleagues in other areas of Risk Management. Summarize analytical findings into presentations and share analysis & reports with senior leadership. Maintain a high degree of technical and policy understanding with respect to credit risk. Manage assigned projects in a timely manner, ensuring accuracy and that deliverables are met Train, coach and develop team members Well versed with statistical concepts EDA, measures of central tendency, measures of dispersion, Linear regression (SLR/MLR), hypothesis testing, probabilities, logistic regression, decision tree random forest etc. Qualifications: 3-6 years of experience in Analytics and Decision Science. Risk Analytics experience: Portfolio analytics, Acquisition and Line Management, Policy audit and analytics, Reporting/Dash-boarding, Performance tracking (should have a knowledge of risk concepts like delinquencies, pre-payments, loss curves etc.) Past experience in problem solving roles, strategic initiatives etc. Knowledge in Banking Domain Must have: Hands on work experience in Python, SQL, and advance excel Tableau: Good to have Good to have - R software Educational Background o B.Tech /B.E from premier/reputed organizations (IIT/NIT preferred) o Other courses include economics, mathematics, operations research etc.

Job Description: A successful candidate would work as an EXL consultant with a leading Financial Services Organization on an unsecured lending portfolio. The job will require the consultant to work on: Support tactical & strategic risk analytics initiatives for Mexico based banks Risk team Design A/B testing frameworks with Design of Experiments (DOE) methodology to optimize risk management programs Policy analytics to make sure correct customer segments are targeted and acquired Evaluate effectiveness of current policies & strategies, manage the monthly dashboards and ad-hoc analysis, analyze tests & performance related to funnel performance, portfolio verification performance and post issuance loan performance Develop and maintain effective working relationships with colleagues in other areas of Risk Management. Summarize analytical findings into presentations and share analysis & reports with senior leadership. Maintain a high degree of technical and policy understanding with respect to credit risk. Manage assigned projects in a timely manner, ensuring accuracy and that deliverables are met Train, coach and develop team members Well versed with statistical concepts EDA, measures of central tendency, measures of dispersion, Linear regression (SLR/MLR), hypothesis testing, probabilities, logistic regression, decision tree random forest etc. Qualifications: 3-6 years of experience in Analytics and Decision Science. Risk Analytics experience: Portfolio analytics, Acquisition and Line Management, Policy audit and analytics, Reporting/Dash-boarding, Performance tracking (should have a knowledge of risk concepts like delinquencies, pre-payments, loss curves etc.) Past experience in problem solving roles, strategic initiatives etc. Knowledge in Banking Domain Must have: Hands on work experience in Python, SQL, and advance excel Tableau: Good to have Good to have - R software Educational Background o B.Tech /B.E from premier/reputed organizations (IIT/NIT preferred) o Other courses include economics, mathematics, operations research etc.

Support tactical & strategic risk analytics initiatives for Mexico based banks Risk team Design A/B testing frameworks with Design of Experiments (DOE) methodology to optimize risk management programs Policy analytics to make sure correct customer segments are targeted and acquired Recommend changes to business strategy and risk management policies Evaluate effectiveness of current policies & strategies, manage the monthly dashboards and ad-hoc analysis, analyze tests & performance related to funnel performance, portfolio verification performance and post issuance loan performance Clearly communicate analysis as presentations to technical & non-technical groups Develop and maintain effective working relationships with colleagues in other areas of Risk Management. Summarize analytical findings into presentations and share analysis & reports with senior leadership. Maintain a high degree of technical and policy understanding with respect to credit risk. Manage assigned projects in a timely manner, ensuring accuracy and that deliverables are met. Train, coach and develop team members Well versed with statistical concepts EDA, measures of central tendency, measures of dispersion, Linear regression (SLR/MLR), hypothesis testing, probabilities etc.

Support tactical & strategic risk analytics initiatives for Mexico based banks Risk team Design A/B testing frameworks with Design of Experiments (DOE) methodology to optimize risk management programs Policy analytics to make sure correct customer segments are targeted and acquired Recommend changes to business strategy and risk management policies Evaluate effectiveness of current policies & strategies, manage the monthly dashboards and ad-hoc analysis, analyze tests & performance related to funnel performance, portfolio verification performance and post issuance loan performance Clearly communicate analysis as presentations to technical & non-technical groups Develop and maintain effective working relationships with colleagues in other areas of Risk Management. Summarize analytical findings into presentations and share analysis & reports with senior leadership. Maintain a high degree of technical and policy understanding with respect to credit risk. Manage assigned projects in a timely manner, ensuring accuracy and that deliverables are met. Train, coach and develop team members Well versed with statistical concepts EDA, measures of central tendency, measures of dispersion, Linear regression (SLR/MLR), hypothesis testing, probabilities etc.

As an Analyst in the Analytics and Information Management (AIM) team at Citi, you will play a crucial role in providing reporting and business insights support for the North America Consumer bank. Your primary responsibility will involve monitoring and evaluating the impact of various business strategies, campaigns, and portfolio actions. By leveraging cutting-edge data, analytical, and modeling tools, you will assist in identifying revenue growth opportunities and optimizing marketing spends based on campaign performance. You will be expected to drive multiple projects involving large and complex data sets, utilizing programming tools such as SQL and SAS to perform analysis and validation. Your role will also require a solid understanding of credit card business financials, including P&L items, interest rates, fees, interchange, and penalties. By analyzing credit card portfolios and historical trends, you will provide financial estimates and insights to support strategic decision-making. In addition to your analytical skills, you will need to possess excellent communication and stakeholder management abilities. Collaborating with internal and global stakeholders, you will lead a team of analysts, mentor junior team members, and work towards delivering tangible outcomes. Your role will involve interacting regularly with business partners to align on strategic priorities, propose solutions, and continuously improve processes and strategies by exploring new data sources and capabilities. To excel in this role, you should have a degree in computer science, engineering, mathematics, operations research, or a related quantitative field, along with at least 10 years of relevant industry experience. Your advanced process management skills, attention to detail, and ability to lead teams towards achieving specific financial outcomes will be essential. A positive outlook, proactive attitude, and risk-awareness mindset are key attributes that will contribute to your success in this position. Joining the Citi AIM team in Bangalore, India, you will be part of a dynamic global community that focuses on creating actionable intelligence for business leaders. This full-time role in the credit cards, financial services, and banking industry offers the opportunity to work with best-in-class tools and technologies while driving innovative analytical solutions across various business units. Citi is an equal opportunity employer that values diversity and inclusion. If you are passionate about data, eager to tackle new challenges, and possess the required skillset and experience, we invite you to apply for this exciting career opportunity with us.,

As a member of the Analytics and Information Management (AIM) team at Citi, you will play a crucial role in objectively connecting and analyzing information to create actionable intelligence for our business leaders. With a global presence and established expertise, we focus on identifying fact-based opportunities for revenue growth in collaboration with various business units. By leveraging cutting-edge data, analytical, and modeling tools, we aim to provide strategic insights that drive business decisions and optimize performance. Your responsibilities will include driving multiple projects involving large and complex data sets, utilizing programming tools such as SQL, SAS, and SAS Macro to analyze and validate information. You will be expected to have a good understanding of credit card business financials, including P&L items, and the ability to analyze credit card portfolios effectively. Collaboration with stakeholders, both internal and global, to deliver tangible outcomes, mentoring and leading a team of analysts, and continuous improvement of processes and strategies will be key aspects of your role. To excel in this position, you should possess a degree in computer science, engineering, mathematics, operations research, or a related quantitative field, along with 2+ to 5 years of relevant industry experience. Strong process management skills, attention to detail, leadership abilities, and a positive mindset are essential. Excellent statistical knowledge, communication skills, stakeholder management capabilities, and experience in credit cards and retail banking products will be advantageous. Your success in this role will be driven by your passion for data, problem-solving skills, and willingness to take on new challenges. If you are someone who thrives in a dynamic and analytical environment, this opportunity at Citi's AIM team in Bangalore, India, within the credit cards, financial services, and banking industry, could be the perfect fit for you. Join us in shaping the future of financial services and making a meaningful impact through data-driven insights and innovation.,