Banking Operation Analyst NTT DATA North America

1.0 - 5.0 years

0 Lacs

haryana

On-site

As a Joint Recovery Processing / Chargeback Analyst at Presidents Choice Financial, you will be responsible for providing exceptional customer service by responding to various inquiries related to chargeback cases, fraud cases, and online disputes. You will analyze and process Fraud/Dispute cases, manage the chargeback lifecycle, investigate potential fraud cases, and process retrieval requests. Additionally, you will be involved in handling merchant challenges, fraud trend analysis, and ensuring compliance with Association Rules and Regulations. Your role will also require you to maintain a thorough understanding of all relevant regulations, communicate effectively with cardholders, cooperate with law enforcement agencies, and report on fraud trends. You must adhere to departmental escalation procedures, Quality Standard Guidelines, and PCI compliance standards. Moreover, you will mentor new employees, participate in team meetings, and follow the NTT DATA Code of Conduct and Credit Card Standards. To succeed in this role, you should possess analytical and problem-solving skills, be proficient in Microsoft Suite Applications, and have excellent communication skills. Personal qualities such as adaptability, flexibility, and reliability are essential. A willingness to pursue continuous learning, work within time constraints, and collaborate effectively with others is also required. Previous experience in credit card and/or financial services, customer service, and recoveries/chargeback within the financial sector will be advantageous. Knowledge of Association rules and regulations, TS2/TCS, and strong keyboarding skills are considered assets.,

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Title Specialist, Emerging Systems Engineering Navaera Worldwide

3.0 - 7.0 years

0 Lacs

vadodara, gujarat

On-site

Navaera Worldwide is a global, full-service firm specializing in advanced knowledge management products and services tailored to assist Financial organizations in enhancing operational efficiency, managing risk, detecting fraud, and gaining a competitive advantage. The company, a privately held entity, boasts a diverse client base across the globe, including major corporations within the financial services industry. Navaera Worldwide, under the brand Navaera Global Services, offers sophisticated business products and solutions to organizations of varying sizes. With offices situated across three continents, Navaera Worldwide's global headquarters is based in New York, with additional locations in Toronto, Canada, and Baroda, India. As a Specialist in Emerging Systems Engineering, you will be expected to possess a solid 3 to 5 years of experience range and be adept at working in areas such as Data Analytics, Computer vision, NLP, and OCR-related tasks. Your responsibilities will include data collection, dataset preparation, architecture modeling, model training/testing, and deployment. Additionally, you should have experience in managing digital data extraction and processing, creating training and testing pipelines with diverse data aspects, and developing model architectures from scratch or modifying pre-trained models. The ideal candidate must stay updated with the latest AI trends to ensure operational processes remain current. You will be required to identify opportunities for process enhancements, propose system modifications, and work with minimal technical supervision while efficiently managing multiple program priorities. Collaboration within a team environment is crucial, as you will be tasked with driving cross-team solutions that may have complex dependencies and requirements. Your qualifications should include a B.E./B.Tech in Computer Science/Statistics/IT/ECE stream, with an M.S. or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics, or equivalent. You should have 3-5 years of hands-on experience in data science, machine learning, and deep learning, along with proficiency in C/C++/Java/Python for developing machine learning and deep learning solutions. Experience in building and deploying Machine Learning solutions using various supervised and unsupervised ML algorithms is essential. Moreover, you should have at least 3-5 years of practical experience with Python and frameworks such as TensorFlow, PyTorch, or MXnet. A good command of ML libraries like scikit-learn, NumPy, pandas, and Keras, as well as natural language processing using NLTK, spaCy, and Gensim, is required. Strong communication and interpersonal skills, familiarity with decision science tools and techniques, excellent problem-solving abilities, and the capacity to work efficiently in a fast-paced, deadline-driven environment are all highly valued in this role. Demonstrating a strong work ethic, a sense of collaboration, and ownership is imperative for success within the organization.,

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