1984915-Lead Assistant Manager

Posted 18 Days Ago
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Gurugram, Haryana, IND
Hybrid
Senior level
Information Technology • Database • Consulting
The Role
Leads client-facing banking analytics engagements involving credit risk, fraud detection, or marketing analytics. Builds and validates statistical and machine learning models, translates findings into business recommendations, ensures regulatory compliance, presents insights to clients, and mentors junior team members. Responsibilities include data wrangling, feature engineering, model validation, and analytics project leadership.
Summary Generated by Built In
Job Title: Senior Analytics Consultant – Banking (Risk/Fraud/Marketing Analytics) Location: Bangalore/Gurgaon (WFO) Job Type: Full-Time Role Overview: We are looking for a Senior Analytics Consultant with over 5 years of experience in banking analytics , specifically in areas such as credit risk modeling, fraud detection, or marketing analytics . This is a client-facing role where you’ll lead analytics engagements, design and implement advanced models, and translate data insights into strategic recommendations for banking clients. Key Responsibilities: Lead and manage analytics projects in the banking sector with a focus on credit risk (e.g., scorecards, PD/LGD/EAD models), fraud analytics (e.g., real-time detection, anomaly detection), or marketing analytics (e.g., customer segmentation, CLTV, campaign targeting). Collaborate with clients to define business problems, develop analytic frameworks, and deliver actionable solutions. Build and validate statistical and machine learning models using Python, R, or SAS. Translate complex analytical findings into clear, business-friendly presentations and reports. Guide junior team members and contribute to knowledge sharing within the firm. Ensure compliance with regulatory standards (e.g., Basel II/III, CCAR, AML) in risk and fraud modeling. Required Qualifications: Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Computer Science, or a related quantitative discipline. 5+ years of hands-on experience in banking analytics with a focus on one or more of the following: credit risk, fraud detection, or marketing. Proficiency in SQL and at least one analytical programming language (Python, R, or SAS). Strong understanding of statistical modeling techniques and machine learning algorithms. Experience working with large datasets and conducting data wrangling, feature engineering, and validation. Excellent communication and presentation skills, especially in client-facing settings. Strong understanding of the banking regulatory environment. Preferred Qualifications: Prior experience in a consulting or professional services environment. Familiarity with cloud-based analytics platforms (e.g., AWS, Azure) and big data tools (e.g., Hive, Spark). Experience with regulatory model validation or governance frameworks. Exposure to digital banking data sources and real-time analytics. What We Offer: High-impact projects with top banking institutions. A collaborative and intellectually curious team culture. Clear paths for career growth and leadership. Competitive compensation 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

  • Bachelor’s or Master’s degree in Statistics, Economics, Mathematics, Computer Science, or a related quantitative discipline
  • 5+ years of hands-on experience in banking analytics, focused on credit risk, fraud detection, or marketing analytics
  • Proficiency in SQL and at least one of Python, R, or SAS
  • Strong understanding of statistical modeling techniques and machine learning algorithms
  • Experience working with large datasets, data wrangling, feature engineering, and validation
  • Excellent communication and presentation skills in client-facing settings
  • Strong understanding of the banking regulatory environment
  • Prior experience in a consulting or professional services environment
  • Familiarity with cloud-based analytics platforms such as AWS or Azure and big data tools such as Hive or Spark
  • Experience with regulatory model validation or governance frameworks
  • Exposure to digital banking data sources and real-time analytics

EXL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.

  • Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
  • Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
  • Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.

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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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