Escorts Securities jobs - Data Scientist

Data Scientist - NLP - Internal Audit AVP-VP # 153992 India-Pune-Pune | Full-time (FT) | Corporate Functions | Job ID 153992 Finance / Controlling / Accounting / Audit / Tax / Treasury English Credit Suisse is a leading global wealth manager with strong investment banking capabilities. Headquartered in Zurich, Switzerland, we have a global reach with operations in about 50 countries and employ more than 45,000 people from over 150 different nations. Embodying entrepreneurial spirit, Credit Suisse delivers holistic financial solutions to our clients, including innovative products and specially tailored advice. Striving for quality and excellence in our work, we recognize and reward extraordinary performance among our employees, provide wide-ranging training and development opportunities, and benefit from a diverse range of perspectives to create value for our clients, shareholders and communities. We are Credit Suisse. We Offer We are a department which values Diversity and Inclusion (D&I) and is committed to realizing the firms D&I ambition which is an integral part of our global Conduct and Ethics Standards You have an exciting opportunity to work with the Global Data Analytics team within Internal Audit (IA),to apply your technical skills against a wide range of problem statements across the bank. At Credit Suisse, were proud that Internal Audit is seen as a compelling voice encouraging confidence in the ability of the Bank to deliver its strategy. Our Auditors build and maintain direct and positive lasting relationships with the Banks leadership. They are actively consulted for their independent advice and insights to encourage positive change. Our global Internal Audit function reflects the Banks entrepreneurial spirit; were investing in new technologies, data analytics, and the latest training techniques to ensure that both people and platforms are outstanding. Opportunities Benefit from working within a highly motivated, diverse, dynamic and a fast paced team, with expertise across variety of technical skillsets. Improve your understanding of the Bank by working alongside auditors on a wide variety of different topics. Become a trusted advisor and partner to audit teams, and see your the impact on the banks people, processes and clients. Key Responsibilities Investigate risks using forensic analysis, data science and modelling techniques to identify issues and root causes, and predict future incidents. Serve as an internal specialist on Natural Language Processing (NLP),related data sources, analytics and data science techniques. Build and maintain strategic processes and solutions that can be reused continuously by both Internal Audit and other partners. Advance the overall data science capability of the department by developing and conducting training, deploying reusable assets and extending existing libraries or frameworks to tackle problems in innovative ways. Remain on top of your game in the rapidly changing field of NLP and machine learning and keep the IA function up-to-date with industry advancements. You Offer Understand the value of diversity in the workplace and are dedicated to fostering an inclusive culture in all aspects of working life so that people from all backgrounds receive equal treatment, realize their full potential and can bring their full, authentic selves to work. This should be further elaborated on in your application. Possess an inquisitive nature and ability to ask questions to fully understand a requirement or a problem. Phenomenal analytical and problem solving skills, with a practical approach and a positive can-do attitude. Innovative thinking, able to expand our analytics and data science services through identification and development of new insights. An ability to work and connect with all levels of the business and multifunctional teams. An agile demeanor, can work under pressure and manage multiple tasks and priorities that are constantly evolving Possess the desire and the self-motivation to learn new skills, toolsets and programming languages. Strong NLP skills including working experience with topic modelling, summarization, semantic analysis, entity identification, OCR and word embedding vectors. Minimum 5 years of proven experience applying common NLP frameworks and languages including NLTK, Spacy, Stanford NLP, BERT, RASA and others to tackle business problems. Experience with machine learning libraries and platforms including scikit-learn, tensorflow, pyTorch etc. Experience using statistical computer languages such as R and Python to classify data and build predictive models and perform NLP tasks. Result oriented, dedicated, who can work on own initiative and can deliver on time with a high level of integrity and flexibility, sense of urgency, attention to detail and quality standards Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success.