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Role requirements: . Degree holder in Data Science, Statistics or a related field . Double degree in Finance would be appreciated . Experience with data manipulation and analysis tools and programming languages . Seniority level : 2 to 4 years of experience in a similar role within a CIB foreign Bank . Knowledge of capital markets financial products . Knowledge of regulations such as EMIR, DFA, CSA, MiFiD II, SFTR, MMSR or SMMD would be welcome Competencies required: . Good synthetic analysis skills and excellent communication and presentation abilities . Strong problem-solving and critical thinking skills . Sense of results and priorities . Good interpersonal skills . Ability to work to a high degree of accuracy . Interest in technologies and innovation . Knowledge of formalisation and communication tools (MS Office - MS SharePoint) . Knowledge of one or more programming languages (Python, SQL, etc.) . Excellent command of at least one computer language Mastery of data analysis techniques, machine learning, AI . Statistical methodologies In-depth knowledge of an analytical tool . Understanding of the ethical issues related to the collection and use of data . Proficient in English . Perfectly at ease in a multi-cultural environment
Talent Networks is a specialized consulting firm, focussing on the people side of the enterprise. We help organizations make the big decisions related to human resource strategy. We are a young organization, incorporated based on the principle that consultants must measure their success in terms of their clients‘ success and remain as passionate about their clients’ results as they are. Having managed large HR functions across Indian and international corporate houses, our lead consultants have deep and varied functional expertise. Together, as a team we are relentless in the pursuit of our goal - providing comprehensive, insightful HR solutions to our clients.
Job ID: 144642863
Skills:
Google Cloud Platform, Neural Networks, Sql, Deep Learning, Tensorflow, Nltk, Decision Trees, Pytorch, Opencv, Keras, Clustering, Azure, Python, AWS, Computer Vision, Generative AI, GLM, random forests, ELMo, Regression, BERT, Boosting, SpaCy

Skills:
Dashboards, Gcp, Power Bi, Tableau, Azure, Python, Sql, AWS, customer analytics, marketing models, machine learning tools
Skills:
causal inference , Machine Learning, Deep Learning, Numpy, Pandas, Pytorch, Python, scikit-learn, PyMC, statsmodels, Monte Carlo Simulations, Bayesian modelling
Skills:
Spark, Sql, Tensorflow, SAS, Hadoop, Machine Learning, Sklearn, Hive, Nosql, Python, Ai, R, Statistical Learning Models, Teradata
Skills:
Python Programming, Data Analysis, Jupyter notebooks, data science methodologies
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