Lead - Data Science

Posted 9 Days Ago
Be an Early Applicant
Bangalore, Bengaluru Urban, Karnataka
Senior level
Fintech • Consulting
The Role
The Lead - Data Science will supervise model validations, mentor junior team members, enhance model performance by analyzing complex datasets using Python and BigQuery on Google Cloud, and manage model risks. Additionally, they will contribute to model testing and deliver insights to stakeholders.
Summary Generated by Built In

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

What you’ll do

  • Supervise and conduct validations of various models used across the organization
  • Provide guidance and mentorship to junior team members, fostering a culture of collaboration and learning.
  • Collaborate with stakeholders to improve model performance, interpret results, and provide actionable insights.
  • Analyze complex data sets related to Consumer and Commercial banking on Google Cloud Platform(GCP) using Python and Bigquery
  • Validate models developed using advanced machine learning techniques, ensuring accuracy and stability in predicting key outcomes.
  • Develop and implement strategies to identify, quantify, and mitigate model risks.
  • Contribute to the design and execution of model testing and monitoring processes.

What experience you need

  • Understanding of key business and risk KPIs for retail banking products.
  • 5+ years’ experience in handling BFSI analytics/developing models/validation/ implementing models/.
  • Credit risk model development experience is a must.
  • Python and SQL coding experience is a must have technical skill.
  • Minimum of 1 year of experience in supervising projects and team members, demonstrating ability to successfully manage multiple projects and stakeholders simultaneously
  • Strong knowledge of statistical methods, machine learning techniques including Ensemble techniques, deep learning.
  • Familiarity with regulatory requirements and guidelines related to model risk management is a plus.
  • Excellent communication skills to convey complex findings to non-technical stakeholders.

What could set you apart

  • Strong business acumen and strategic thinking
  • High energy levels and ability to work in a fast-paced environment
  • Strong interpersonal skills and ability to collaborate effectively with diverse teams across multiple geographies and levels of the organization
  • Opportunity to use cutting-edge statistical/modeling tools across literally hundreds of data assets.
  • Regulatory modeling development experience is good to have (ECL, Stress testing & IFRS9).
  • First hand experience on cloud based platforms including GCP & AWS

We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location:

IND-Bangalore-Equifax-Analytics

Function:

Function - Data and Analytics

Schedule:

Full time

Top Skills

Python
SQL
The Company
HQ: Atlanta, GA
16,742 Employees
On-site Workplace

What We Do

At Equifax (NYSE: EFX), we believe knowledge drives progress. As a global data, analytics, and technology company, we play an essential role in the global economy by helping financial institutions, companies, employers, and government agencies make critical decisions with greater confidence. Our unique blend of differentiated data, analytics, and cloud technology drives insights to power decisions to move people forward.

Headquartered in Atlanta and supported by nearly 15,000 employees worldwide, Equifax operates or has investments in 24 countries in North America, Central and South America, Europe, and the Asia Pacific region.

For more information, visit Equifax.com.

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