Associate Process Manager

2 days ago

Pune, Maharashtra, India eClerx Investments Ltd Full time
Job Description

Role and responsibilities:

Leadership and Mentorship

1. Team Leadership : Lead and mentor a team of Data Scientists and Analysts, guiding them in best practices, Advanced mthodologies, 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.

Requirements :

1. A bachelor's degree in a related field, such as computer science, data science or statistics.
2. Proven experience of 5+ years in programming languages, machine learning, data visualization and statistical analysis.

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