2 Sas Eminer Jobs

You will be joining a global team within Analytics & Information Management (AIM) at Citi, where the focus is on driving data-driven transformation across various functions to provide actionable intelligence for business leaders. As part of this fast-growing organization, you will collaborate with Citi businesses and functions worldwide. Your role as a Client Remediation Data Analyst will involve managing a professional team to integrate subject matter expertise within a specific area. You will be responsible for setting standards for operational processes and developing a deep understanding of how different areas interact within the sub-function. Effective communication and diplomacy skills will be essential for guiding and influencing colleagues across various departments and regulatory bodies. Your responsibilities will include overseeing the volume, quality, timeliness, and delivery of results within your area, as well as contributing to short-term resource planning. In addition, you will play a key role as a Data/Information Management Intermediate Analyst, leveraging your expertise to solve complex problems and integrate specialized knowledge with industry best practices. Your analytical skills will be crucial in interpreting data, identifying issues, and providing valuable insights to support decision-making processes. Collaboration and effective communication will be vital as you work closely with cross-functional teams to analyze client populations and address remediation issues. As part of the CRX team, you will focus on analyzing customer remediation issues for various lines of business within the NAM region, including Cards, Retail Bank, Mortgage, and Ops. Your tasks will involve executing data remediation approaches, assessing the impact on customers and financial outcomes, conducting root cause analysis, and providing support for audit processes. By delivering routine outputs while expanding your knowledge of the broader context, you will contribute to the team's success and uphold Citi's reputation by ensuring compliance with relevant laws and regulations. To excel in this role, you should have at least 5-8 years of relevant experience, strategic thinking abilities, and proficiency in analytic tools such as SAS E-miner, SPSS, and knowledge of tools like R and Python. Familiarity with business analysis, data analysis, and platforms like SAS, SQL, RDBMS, as well as domain knowledge in banking and consumer products, will be advantageous. A Bachelor's or equivalent degree, along with experience in the banking industry, will be beneficial for this position in Decision Management at Citi. This full-time position requires a hybrid working model with a minimum of 3 days in the office per week, following CITI's HWW policy, and adhering to regular local working hours aligned with NAM schedules. Your dedication to excellence and commitment to upholding Citi's standards will play a crucial role in your success within the team. Please note that this job description offers a comprehensive overview of the role's responsibilities and requirements, with additional duties assigned as needed.,

Working at AxionConnect offers you more than just a job - it's a chance to grow, learn, and thrive in a supportive and inspiring environment. We prioritize the well-being and development of our employees by providing a range of benefits and resources to enhance both their professional and personal lives. From training and mentorship programs to flexible work arrangements and employee engagement initiatives, we are dedicated to ensuring that you have the necessary tools and support to succeed. At AxionConnect, reputation and industry leadership are key. As a prominent ITES brand, we have built a strong reputation for delivering innovative solutions to our clients. With a proven track record of success, we have become a trusted partner in the industry, collaborating with leading organizations across various sectors. Our culture at AxionConnect is one of excellence. We encourage our employees to push boundaries, think creatively, and continuously strive for improvement. By investing in the latest technologies and providing a conducive work environment, we empower our team members to excel in their respective roles. We believe that collaboration and inclusivity drive innovation at AxionConnect. Open communication, teamwork, and knowledge sharing are encouraged, creating an environment where diverse perspectives are valued and embraced. Our inclusive culture enables our employees to thrive and achieve their full potential. Career growth opportunities are abundant at AxionConnect. We are committed to the professional growth and development of our employees by providing ongoing training, mentorship, and advancement opportunities. This allows individuals to expand their skill sets, take on new challenges, and progress in their careers within our organization. If you are passionate about innovation, collaboration, and making a difference, we invite you to join our community at AxionConnect. We are always seeking talented individuals who are driven to excel and thrive in a dynamic and fast-paced environment. Together, we can create meaningful solutions and shape the future of the ITES industry. Ready to take the next step in your career with us Explore the exciting opportunity below: Tech Job: Sr Data Scientist Are you a skilled Data Scientist with expertise in statistical modeling (SAS EG/EMiner, Python), particularly within banking/insurance Join us at AxionConnect to contribute to model development, deployment, and predictive frameworks, leveraging your proficiency in credit risk modeling and machine learning. Turn data into actionable insights in a dynamic, client-centric atmosphere. Key Requirements: - Experience with statistical modeling language - SAS EG/EMiner Python - Knowledge of Analytical applications in the banking/insurance industry - Model development and validation knowledge - Design, development, and deployment of Predictive models and frameworks - Experience with modeling techniques such as Credit Risk Modelling and classification techniques - Passion for data, structured or unstructured - Hands-on experience with Python - Sound experience in data mining, data analysis, and machine learning techniques - Excellent critical thinking, verbal, and written communication skills - Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment - Good presentation skills If you meet these requirements and are ready to take on new challenges, we encourage you to apply and be part of our exceptional team at AxionConnect.,