Data Scientist
- eClerx
- 4 - 9 years
- Mumbai
- 1 month ago
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Job Description
Role & responsibilities :
Leadership and Mentorship
1. Team Leadership : Lead and mentor a team of Data Scientists and Analysts, guiding them in best practices, Advanced methodologies, and carrer development.
2. Project Management : Oversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results.
3. Innovation and Continuous Learning : Stay at the forefront of industry trends, new technologies, and mthodologies, fostering a culture of innovation within the team.
Collaboration with Cross-Functional Teams
1. Stakeholder Engagement : Work closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions.
2. Communication of Insights : Present complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions.
Advanced Data Analysis and Modeling
1. Develop Predictive Models : Create and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting.
2. Quantitative Research : Conduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets.
3. Statistical Analysis : Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk.
Business Impact and ROI
1. Performance Metrics : Define and track key performance indicators (KPIs) to measure the effectiveness of analytics solutions and their impact on the firm's financial performance.
2. Cost-Benefit Analysis : Perform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI).
Algorithmic Trading and Automation
1. Algorithm Development : Develop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques.
2. Back testing and Simulation : Conduct rigorous back testing and simulations of trading strategies to evaluate their performance under different market conditions.
What we're looking for
1. Advanced Statistical Techniques : Expertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics.
2. Machine Learning and AI : Proficiency in machine learning algorithms and experience with AI techniques, particularly in the context of predictive modeling, anomaly detection, and natural language processing (NLP).
3. Programming Languages : Strong coding skills in languages like Python, commonly used for data analysis, modeling, and automation.
4. Data Management : Experience with big data technologies, and relational databases to handle and manipulate large datasets.
5. Data Visualization : Proficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders.
6. Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions.
7. Quantitative Analysis : Deep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics.
8. Algorithmic Trading : Experience in developing and back testing trading algorithms using quantitative models and data-driven strategies.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: eClerxLocation(s): Mumbai
Keyskills: Algorithms Artificial Intelligence Statistical Modeling Machine Learning Python Predictive Modeling Data Science Power Bi Natural Language Processing Deep Learning
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