Senior Manager

Reposted 19 Days Ago
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Gurugram, Haryana, IND
Hybrid
Senior level
Information Technology • Database • Consulting
The Role
Lead large-scale data management, exploratory data analysis, and feature engineering using bureau data for credit risk modeling. Build, optimize, and document machine learning models, automate EDA/feature transformation in Python, and present data-driven insights to technical and non-technical stakeholders.
Summary Generated by Built In
Responsibilities:Large data management, feature engineering, strong hands on in EDA and feature Engineering using bureau data in banking domain ;Good to have - Design, implement, and optimize sophisticated machine learning models in Banking domain for Credit Risk modeling. ;Create Python classes and functions to automate EDA and Feature Transformation processStay updated on the latest machine learning advancements, actively identifying and integrating cutting-edge techniques to continuously improve our models and address diverse analytical use cases.Provide data-driven insights and recommendations that support decision-making processes and enable us to overcome analytical hurdles.Document your methodologies, experiments, and results in clear and concise terms. Effectively communicate complex concepts and findings to both technical and non-technical stakeholders. ;Qualifications:4 - 10 years of experience in credit risk analytics preferably in Banking and Financial ServicesA minimum of 3 years of hands-on experience working on Machine Learning models to solve analytical use cases.Experience with bureau data; feature engineering ;Excellent problem-solving and analytical skills, with the ability to work on complex projects and deliver high-quality results.Proficiency in Python programming languages is mustExperience with large-scale data processing and distributed computing frameworks is a plus.Strong communication skills, both written and verbal, with the ability to convey complex ideas to diverse stakeholders About the TeamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.

Skills Required

  • 4 - 10 years of experience in credit risk analytics preferably in Banking and Financial Services
  • Minimum of 3 years of hands-on experience working on Machine Learning models
  • Experience with bureau data and feature engineering
  • Proficiency in Python programming language
  • Experience with large-scale data processing and distributed computing frameworks
  • Excellent problem-solving and analytical skills
  • Strong written and verbal communication skills
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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