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Associate Process Manager
India
Role and responsibilities:
Leadership and Mentorship
- Team Leadership : Lead and mentor a team of Data Scientists and Analysts, guiding them in best practices, Advanced méthodologies, and carrer development.
- Project Management : Oversee multiple analytics projects, ensuring they are completed on time, within scope, and deliver impactful results.
- Innovation and Continuous Learning : Stay at the forefront of industry trends, new technologies, and méthodologies, fostering a culture of innovation within the team.
Collaboration with Cross-Functional Teams
- Stakeholder Engagement : Work closely with key account managers, data analysts, and other stakeholders to understand their needs and translate them into data-driven solutions.
- Communication of Insights : Present complex analytical findings clearly and actionably to non-technical stakeholders, helping guide strategic business decisions.
Advanced Data Analysis and Modeling
- Develop Predictive Models : Create and validate complex predictive models for risk assessment, portfolio optimization, fraud detection, and market forecasting.
- Quantitative Research : Conduct in-depth quantitative research to identify trends, patterns, and relationships within large financial datasets.
- Statistical Analysis : Apply advanced statistical techniques to assess investment performance, asset pricing, and financial risk.
Business Impact and ROI
- 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.
- Cost-Benefit Analysis : Perform cost-benefit analyses to prioritize analytics initiatives that offer the highest return on investment (ROI).
Algorithmic Trading and Automation
- Algorithm Development : Develop and refine trading algorithms that automate decision-making processes, leveraging machine learning and AI techniques.
- 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
- Advanced Statistical Techniques : Expertise in statistical methods such as regression analysis, time-series forecasting, hypothesis testing, and statistics.
- 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).
- Programming Languages : Strong coding skills in languages like Python, commonly used for data analysis, modeling, and automation.
- Data Management : Experience with big data technologies, and relational databases to handle and manipulate large datasets.
- Data Visualization : Proficiency in creating insightful visualizations that effectively communicate complex data findings to stakeholders.
- Cloud Computing : Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying scalable data solutions.
- Quantitative Analysis : Deep understanding of quantitative finance, including concepts like pricing models, portfolio theory, and risk metrics.
- Algorithmic Trading : Experience in developing and back testing trading algorithms using quantitative models and data-driven strategies.
Requirements :
- A bachelor's degree in a related field, such as computer science, data science or statistics.
- Proven experience of 5+ years in programming languages, machine learning, data visualization and statistical analysis.
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