Associate Process Manager

Job Description
Role and responsibilities:
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 6+ years in programming languages, machine learning, data visualization and statistical analysis.

About The Team
eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience.

eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.