Tredence - Associate Manager/Manager - Analytics

We are seeking an Analytics Specialist with deep expertise in analytics and data engineering, particularly within the banking sector. The ideal candidate will have extensive experience with a variety of supervised and unsupervised machine learning algorithms, be adept in working with cross-functional teams, and possess strong skills in stakeholder management, focusing on delivery and revenue optimization.

Key Responsibilities:

- Develop and implement advanced analytics solutions for banking sector challenges.

- Collaborate with data engineering teams to integrate and manage diverse data sources.

- Utilize a broad range of machine learning techniques, including both supervised (e.g., regression, decision trees, random forests) and unsupervised algorithms (e.g., clustering, principal component analysis).

- Translate complex data analytics into strategic business solutions.

- Provide comprehensive reports and insights to stakeholders, enhancing decision-making processes.

- Keep abreast of the latest in data analytics, machine learning technologies, and banking regulations.

- Uphold data governance and security standards in all banking operations.

- Work effectively in cross-functional teams, fostering collaboration and innovation.

- Manage stakeholder relationships in client environments, ensuring excellent delivery and contributing to revenue growth.

Required Skills and Qualifications:

- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.

- Proven experience in data analytics within the banking or financial services industry.

- Strong knowledge of data engineering principles and experience with various banking data sources.

- Proficiency in a range of machine learning algorithms, both supervised and unsupervised.

- Familiarity with analytics tools and software (e.g., SQL, Python, R, Tableau).

- Exceptional problem-solving skills and proficiency in interpreting complex data.

- Excellent communication, presentation, and stakeholder management skills.

- Deep understanding of banking operations, data, and compliance requirements.

Desirable Skills:

- Experience with big data technologies (e.g., Hadoop, Spark).

- Expertise in predictive modeling, risk analysis, and advanced analytics techniques.

- Proven ability to work in cross-functional teams and manage stakeholder relationships effectively.