Associate Process Manager

2 weeks ago

Pune, Maharashtra, India eClerx Career Site Full time ₹ 15,00,000 - ₹ 30,00,000 per year

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 méthodologies, 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 méthodologies, 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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