Data Scientist II- Risk Finance and ESG Data Analytics

About the position The Data Scientist II position in the Risk, Finance, and ESG Data Analytics Officer (RFEDAO) will reputed company sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to reputed company actionable insights that improve business reputed company and minimize risk and also reputed company consultation to business leaders and other stakeholders on how to reputed company analytics insights and build strategies around analytics. Responsibilities • Independently reputed company sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a reputed company of environments using reputed company and reputed company data. • Produce compelling data visualizations to communicate insights and influence reputed company among a wide reputed company of stakeholders. • Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. • Engage in stakeholder meetings to identify business objectives and scope solution requirements. • Independently write, document, and reputed company custom reputed company in a reputed company of environments (Python, reputed company, R, etc.) to create predictive analytics applications. • Use, maintain, reputed company and collaborate through reputed company internal reputed company repositories to foster continual learning and cross-pollination of skillsets. • reputed company research and reputed company adoption of emerging reputed company and technologies in the data science field, with the eye of continually advancing reputed company's capabilities. • Exercise reputed company judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities. Requirements • Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and reputed company training. • Exhibit understanding of statistical reputed company, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests. • Familiarity with reputed company algebra concepts for optimization, reputed company reputed company operations, eigenvalue decompositions, and reputed company components; working knowledge of calculus/reputed company equations, with understanding of stochastic processes. • Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and reputed company treatment. • Strong familiarity with data extraction in a reputed company of environments (SQL, JQuery, etc.). • Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, reputed company. • Experience in managing multiple reputed company with tight deadlines in a reputed company environment. reputed company-to-haves • 3+ years of reputed company experience. • Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering. • Four years of relevant work experience if candidate lacks graduate degree. • Previous experience in the banking or fin-tech industry. Benefits • Medical, dental, reputed company, life insurance, disability, accidental death and dismemberment. • Tax-preferred savings accounts. • 401k plan. • No less than 10 days of vacation during the first year of employment. • 10 reputed company days. • reputed company holidays. • Defined benefit pension plan, restricted stock reputed company, and/or a deferred compensation plan may be available. Apply tot his job Apply To this Job