Senior Manager Data Science

Posted 5 Days Ago
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Bangalore, Bengaluru Urban, Karnataka
Senior level
Fintech • Consulting
The Role
The Senior Manager of Data Science is responsible for leading large teams to deliver analytical solutions in Banking, Finance, and Insurance. This role includes project management, mentoring junior consultants, developing predictive models, and collaborating with clients to meet their analytical needs. The manager is expected to provide thought leadership and establish bureau-based analytics capabilities.
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.

Synopsis of the role 

Responsible for our Analytics practice which is rapidly expanding and works with clients in the BFSI vertical. The incumbent is accountable for leading large teams and delivering analytical solutions in the areas of Retail Bank Marketing and Risk Analytics for clients in India and the Middle East. This is a senior role with primary responsibilities on Analytics Delivery, Presales support and building the Analytics practice.


What you’ll do

  • Work closely with Financial clients in India and the Middle East to deliver analytical solutions.

  • Work closely with Credit Bureau to offer predictive modeling solutions incorporating bureau data.

  • Understand client’s business requirements in terms of analytical needs and manage a High-class delivery team to deliver suitable ROI on analytical projects.

  • Project manage multiple engagements through project charters, project plans, resource management, etc.

  • Provide thought leadership to projects and help develop unique solutions and deliver analytical outputs.

  • Work with the Equifax bureau in India to build bureau-based Analytics capabilities and use the new age technology to implement those solutions.

  • Mentor and groom junior consultants and analysts within the team.

  • Hands on model development for BFSI clients using ML techniques when necessary.

  • Model validation and monitoring of the in-house models.

What experience you need

  • Deep, hands-on expertise applying machine learning, statistical inference, Artificial Intelligence techniques and predictive modeling methods in a commercial setting.

  • Experience in working on regulatory requirements from a Scores and MRM perspective.

  • Proficiency in one or more analytic languages (R, Python and SAS).

  • Proven ability to architect and engineer machine-learning pipelines with online / real-time features.

  • Ability to speak authoritatively with customers on relevant topics.

  • Ability to collaborate with customers to frame and define ill-structured problems and design effective solution approaches.

  • An excellent oral and written communicator with highly technical and non-technical EFX leaders, partners, and customers. 

  • A proven ability to establish rapport, persuade others, ask insightful questions, and promote understanding across all levels of the organization.

  • An effective time and project manager, able to balance a highly variable workload in a fast-paced environment.

  • A critical thinker and creative problem solver

  • 7+ years’ experience in handling BFSI analytics/implementing models/Big data/Cloud Solutions.

  • Credit risk modeling development experience is a must. 

  • Ability to understand BFSI business drivers.

  • Understanding of key business and risk KPIs for retail banking products.

  • In-depth business & credit risk understanding. 

  • Adaptability to work in project-based engagements across different kinds of banking clients.


What could set you apart

  • Minimum 7 years’ experience in handling BFSI analytics for large KPO’s or banks in India or overseas.

  • Extensive knowledge on Risk Analytics and underwriting strategy from an Analytics perspective.

  • Highly analytical with experience of handling teams and clients.

  • Excellent exposure to Modeling techniques and experience on Python, SAS, R etc.

  • Strategic orientation and client advisory experience.

  • Self-starter with high energy levels and ability to lead and inspire teams.

  • Ability to understand BFSI business drivers.

  • Exposure to unstructured data analytics, machine learning, Cloud computing / analytics and Big Data a plus


We offer hybrid modes of working, 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!

 

Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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-Mumbai-Equifax-Analytics

Function:

Function - Data and Analytics

Schedule:

Full time

Top Skills

Python
R
SAS
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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