Data Science Training Course Online

• To work along-side Senior Algorithmic Traders to build High Frequency Strategies to trade different assest classes for global exchanges.
• Evaluation and optimization of existing and new trading strategies.
• Develop new or improve existing trading models using in-house platforms
• Use advanced mathematical techniques to model and predict market movements
• Analyse large financial data sets to identify trading opportunities
• Provide real time analytical support to experienced traders

Job Description

Someone who can work on historic data and apply statistical concepts to make cross-sectional predictions.Predictive analytics uses many techniques from data mining, statistics, modeling, machine learning, and artificial intelligence to analyze current data to make predictions about future.

Job Description
0-3 years; Data Science We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are innovation, business awareness, long term thinking, and pushing the envelope.

Research and verify the accuracy of the data from source documents within the time limits.,
Verify the accuracy and the credibility of the information.,
Prepare documents, files and reports utilizing various computer (Microsoft Office) programs.,
Enter data into prescribed computer database, files and forms.,
Review data for deficiencies or errors, correct any incompatibilities if possible.,
Keep information confidential

Job Responsibilities: Contribute to all stages of data science,ML AI solutions and development and deployment
Use machine learning ML, statistical analysis, pattern recognition, data visualizations and deep learning - along with domain specific knowledge and subject models (Eg. physics-based) – to solve Computer science, engineering problems, commercial problems to provide business insights
Assist the formulation of new projects or enhancements of existing models
Work with teams across geographical locations to develop robust data science workflows

Strong analytical and problem-solving skills- Responsible for developing custom tools/applications using Excel/VBA, Tableau, SQL- Responsible for developing data analyses and reports/dashboards per client requirements- Perform data processing and advanced statistical analyses/modelling using R / Python- Must have a high degree of accuracy and attention to detail along with good communication skills and problem-solving ability- Develop analyses/deliverables meeting quality requirements as per client satisfaction- Responsible for developing tools/analyses as per the timelines assigned- Executes the best practices in the department regarding - processes, communication (internal & external), project management, documentation and technical requirements- Participate in assigned training programs and work on assignments as per requirement- Write SQL queries to extract, merge and prepare granular and aggregated datasets for data analytics and business intelligence Experience in other BI/Reporting tools like Tableau / Power BI is a must- Requires the ability to organize, manage and work within a global team-oriented, collaborative environment, providing technical consultative support to peers, projects and end users, including the development of technical standards.Education : BE/BTech/MTech / MCA / BSc. Maths/Computers/Statistics And / Or MBA- Experience in Pharmaceutical Commercial Analytics and data sources is a must- Strong Analysis, problem-solving, and project management skills- Ability to derive KPIs from data sets to create reports and dashboards- Experience in at Excel / VBA and BI tools like Tableau, Power BI, Qlik sense- Experience in handling large data using SQL / MS Access / Python Experience : 4-6 years.- Experience in machine learning and statistical analysis is a plus

• Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making.
• Conceptualizes, builds, develops and enhances a client's analytic model. Selects the relevant analytic modeling methodologies for the use case, available structured and unstructured data, cost and timing constraints to solve the complex business issues and deliver clear business focused insights.
• In- depth knowledge of data visualization techniques and software tools (eg. Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3).
• In- depth knowledge of data science methodologies including but not limited to classical regression, neural nets, CHAID, CART, association rules, sequence analysis, cluster analysis, and text mining.
• Advanced knowledge of programming languages such as Python, SQL, R, SAS, Java, Unix Shell scripting. Advanced knowledge of Hadoop framework desired.
• Ability to translate business requirements into mathematical models and data science objectives to achieve measurable business outcomes.
• Computer Science or equivalent preferred and 3 years of relevant experience
• In- depth machine learning, data integration and mathematical modeling skills
• In depth understanding of analytics software (eg. R, SAS, SPSS, Python). Advanced understanding of analytics deployment architectures.

• Designing, prototyping, and delivering applications and solutions on emerging technologies like Artificial Intelligence (AI), NLP Natural Language Processing , ML Machine Learning. to respond to business needs for improved quality, agility and cost-efficiency etc.
• Building and nurturing a team of programmers and data scientists to deliver insights
• Maintain and manage data architecture blueprint for enterprise
• Good understanding of ML techniques and algorithms, such as Decision Forests, SVM, k-NN, Naive Bayes.
• Knowldege of programming languages including like C/C++ , java and Python
• Previous experience with NLP / speech recognition is preferred