Manager - Advanced Analytics

Responsibilities Include:

• Lead and manage a team of data scientists and analysts, overseeing project assignments, performance evaluations, and development plans.
• Mentor and upskill team members, fostering a culture of continuous learning and analytical excellence.
• Drive team collaboration, establishing best practices, and ensuring the team s technical and professional growth aligns with organizational goals.
• Partner with senior leadership to identify, prioritize, and execute high-impact analytics initiatives that align with business objectives.
• Develop and present data-driven insights and recommendations to executive leadership, clearly communicating complex analyses in an accessible manner.
• Design, develop, and deliver advanced analytics and ML solutions, including building sophisticated models and analytical tools that drive data-driven decision-making.
• Construct proof of concepts (POCs) to demonstrate the value and potential of ML applications within the finance domain, ensuring alignment with business needs.
• Leverage expertise in data science and advanced analytics to address complex business challenges with innovative solutions.
• Proactively identify areas where advanced analytics can provide significant value, initiating and overseeing projects that develop and implement new analytics solutions.
• Work closely with internal and external partners to evaluate and integrate new tools, techniques, and data sources that enhance the team s analytics capabilities.
• Foster strong cross-functional relationships, working collaboratively to drive alignment and understanding of analytics initiatives.

Education, Experience, and Skills:

• A bachelor s or master s degree in a relevant field (e.g., data science, statistics, mathematics, finance) is preferred. Advanced certifications in analytics or data science are a plus.
• 10+ years of experience in advanced analytics, preferably in a finance or related domain, with proven success in delivering impactful business solutions.
• 3+ years of experience in leading and managing teams in a data science or analytics function, fostering a collaborative and high-performance team environment.
• Proven leadership experience, guiding and mentoring junior team members and fostering a collaborative and high-performance team environment.
• Extensive hands-on experience with machine learning techniques, including supervised/unsupervised learning, classification, clustering, and anomaly detection.
• Expertise in feature engineering, model selection, hyperparameter tuning, and model evaluation, ensuring robust and optimized model performance.
• Strong knowledge of time series analysis and forecasting for predicting trends and patterns in financial data.
• Proficiency with analytics tools and programming languages such as Python, SQL, Alteryx, and experience with big data technologies like Hadoop and Spark.
• A continuous learning mindset, keeping updated on advancements in data science, machine learning, and analytics methodologies.