Manager

Advisory

Not Applicable

Data, Analytics & AI

Manager

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

Job Description: Machine Learning Analytics Manager (BFSI)
We are seeking a highly skilled and experienced Machine Learning Analytics Manager with
a minimum of 6 years of relevant experience, preferably in the BFSI (Banking, Financial
Services, and Insurance) industry. As a Machine Learning Analytics Manager, you will play
a key role in leading our data analytics team and driving innovative solutions using machine
learning techniques.
 
Responsibilities:
 Team Leadership: Lead and mentor a team of data scientists, analysts, and machine
learning engineers to deliver impactful data-driven insights and solutions. Provide
guidance and support in problem-solving, algorithm development, and model
evaluation.
 Machine Learning Strategy: Collaborate with cross-functional teams to identify and
prioritize business challenges that can be addressed through machine learning and
data analytics. Develop a comprehensive machine learning strategy aligned with the
company's objectives.
 Model Development: Oversee the development of machine learning models and
algorithms, including supervised and unsupervised learning methods, regression
models, neural networks, and decision trees.
 Data Analysis: Conduct exploratory data analysis to understand underlying patterns,
trends, and opportunities in large and complex datasets related to BFSI operations.
 Model Deployment: Drive the integration of machine learning models into
production systems, ensuring scalability, efficiency, and accuracy in real-world
applications.
 Risk Analysis: Utilize machine learning techniques to assess and mitigate risks in the
BFSI domain, including credit risk, fraud detection, and market risk.
 Performance Monitoring: Implement monitoring mechanisms to track model
performance and provide continuous improvement to ensure the models'
effectiveness over time.
 Collaborative Projects: Collaborate with cross-functional teams, including product
managers, business analysts, and IT professionals, to design and implement data-
driven solutions for various business use cases.
 Industry Trends: Stay updated with the latest developments and best practices in
machine learning, data analytics, and the BFSI industry, and incorporate relevant
advancements into the team's projects.
Requirements:
 Master's degree in Computer Science, Statistics, Mathematics, or a related field.
 6+ years of hands-on experience in machine learning and data analytics, with a
significant focus on BFSI applications.
 Proficiency in programming languages such as Pyspark, Python or R, experience
working with data visualization tools, Azure, AWS, GCP (any one cloud solution)
 Extensive knowledge of machine learning algorithms and techniques, including
supervised and unsupervised learning, time series analysis, and natural language
processing.
 Strong leadership and team management skills, with the ability to drive projects and
collaborate effectively with cross-functional teams and stakeholder management.

 Demonstrated expertise in deploying machine learning models in real-world
applications, preferably in the BFSI industry. Excellent problem-solving and
analytical skills, with a data-driven approach to decision-making.
 Strong communication skills, both written and verbal, to present complex technical
concepts to non-technical stakeholders

Mandatory Skills: Machine Learning
Preferred Skills: Machine Learning
Years of Experience: 8-10
Qualifications: BTech

Machine Learning