Junior Data Science Team Member

Work closely with business analysts, product managers and domain experts to decide on the product road map Do extensive primary and secondary research to help enhance the product road map Discuss, brainstorm on new modules with the senior team, write business logic with clarity and purpose that helps in reducing turnaround times for new project development Coordinate with the technology team and assist them to ensure timely execution of new projects Lead initiatives like "automating scoring using machine learning techniques , "build asset allocation models", "build algorithms for automating financial planning framework", build recommendation systems , build system for automated fraud detection , etc Analyse data to help in better descision making Supporting initiatives for data integrity and normalization Data mining using stateof-the-art methods Doing ad-hoc analysis and presenting results in a clear manner Managing and designing the reporting environment, including data sources, security, and metadata Qualifications: Passion for the financial markets and investments. Alternatively, an extraordinary curiosity about business and industry Knowledge of Time value of money concepts, risk return frameworks, asset allocation models highly desirable Good applied statistics skills, such as distributions, statistical testing, regression, etc. Proficiency in using query languages such as SQL desirable Experience with common data science toolkits, such as R desirable Experience with Microsoft Excel and its various formulae, shortcuts desirable Knowledge or experience of how APIs work Demonstrated analytical capabilities, quantitative as well as qualitative, in any coursework an applicant has pursued are required Excellent communication skills, both written and oral Ability to work in a team-oriented fast-pace environment both while being able to prioritize projects Positive attitude with a willingness to attack challenging intellectual problems with energy, even in areas of technical difficulty or unfamiliar terminology Role: Back End Developer Industry Type: Education / Training Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: Post Graduation Not Required Key Skills metadataExceldata scienceAnalyticalMachine learningFinancial planningdata integrityData miningSecondary researchSQL