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Advanced Certi cation
in Financial Analytics
UNDERSTAND HOW ANALYTICS IS APPLIED TO THE FINANCIAL SECTOR
The course provides an understanding of how analytics is used to solve

01

business problems like campaign management, credit scoring and fraud
detection using the language of SAS.

Enrol in this course to learn how
analytics is applied in the nancial
services industry.
This course is a must for

By the end of this course you will

Professionals looking to learn

acquire knowledge of the

financial analytics skills.

financial services domain with a
focus on banking, credit cards,

This course is also suitable for those

loans and insurance.

who have knowledge of predictive
modeling techniques like regression

You will get hands-on experience

and clustering, and knowledge of at

in building regression models and

least one analytical tool, preferably

using other statistical techniques

the language of SAS.

on real business data sets to
solve real business problems.

“

This course provides value for time and money. The faculty is highly
experienced and the case studies were very useful.
– Anupam Vats (Onmobile, Brazil)

“

I highly recommend the financial analytics course. The case studies on
credit scoring and fraud were very informative.
– Umang Chugh (Asian School of Management)

Since 2011 over 1100 students have been placed in various
analytics companies from niche start ups to large multinationals.
02

What knowledge will you gain?
Topics covered in the 5 modules of this course are:

Introduction to Banking and Financial Services
Introduction to Money

Insurance and Loans

Banks Credit Cards

Credit Bureau

Basel Framework

Insurance Data

External Data

Data Structure in Financial Services
Types of Data

Transaction Data

Customer Data

Marketing Analytics in Financial Services
Campaign Management

CRM Analytics

Cross-sell and Up-sell

Customer Retention

Credit Risk Analytics in Financial Services
Credit Scoring and Decisioning

Integration of Bureau Data

Collections Strategy

Fraud Risk Analytics in Financial Services
Introduction to Fraud

Types of Fraud

Predictive Analytics for Fraud control

Fraud Scoring

Students of Jigsaw are placed in bluechip companies.
Jigsaw Academy’s course content is developed and delivered by analytics experts
from around the globe. They help students understand how to apply analytic
techniques to business problems and this gives Jigsaw students that edge in the
marketplace.
Enrol in this course now.
The pre-requisites for this course include a knowledge of the analytics methodology as well as
popular analytic techniques such as regression and clustering. Participants should also have a
working knowledge of the language of SAS.

Fee & other details.
Participants will get access to about 20 hours of pre-recorded video lectures, 15
hours of pre-recorded classroom training & 60 hours of lab time. Participants will
have access to the video lectures for a period of 6 months. Participants also get 2
hours of Q&A every month, with live sessions of 2 hours each with course
faculty.

Course fee: Rs. 20,000

Registration details.
Please visit the following web link to get more information about this course and
to register online–

http://www.jigsawacademy.com/analytics-courses/financial-analytics

THE ONLINE SCHOOL OF ANALYTICS

For more information please visit www.jigsawacademy.com, or
+91 9243522277, 9008017000

info@jigsawacademy.com

www.analyticstraining.com

http://jigsawacademy.com/faqs

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Advanced certication in financial analytics e-brochure

  • 1. Advanced Certi cation in Financial Analytics UNDERSTAND HOW ANALYTICS IS APPLIED TO THE FINANCIAL SECTOR
  • 2. The course provides an understanding of how analytics is used to solve 01 business problems like campaign management, credit scoring and fraud detection using the language of SAS. Enrol in this course to learn how analytics is applied in the nancial services industry. This course is a must for By the end of this course you will Professionals looking to learn acquire knowledge of the financial analytics skills. financial services domain with a focus on banking, credit cards, This course is also suitable for those loans and insurance. who have knowledge of predictive modeling techniques like regression You will get hands-on experience and clustering, and knowledge of at in building regression models and least one analytical tool, preferably using other statistical techniques the language of SAS. on real business data sets to solve real business problems. “ This course provides value for time and money. The faculty is highly experienced and the case studies were very useful. – Anupam Vats (Onmobile, Brazil) “ I highly recommend the financial analytics course. The case studies on credit scoring and fraud were very informative. – Umang Chugh (Asian School of Management) Since 2011 over 1100 students have been placed in various analytics companies from niche start ups to large multinationals.
  • 3. 02 What knowledge will you gain? Topics covered in the 5 modules of this course are: Introduction to Banking and Financial Services Introduction to Money Insurance and Loans Banks Credit Cards Credit Bureau Basel Framework Insurance Data External Data Data Structure in Financial Services Types of Data Transaction Data Customer Data Marketing Analytics in Financial Services Campaign Management CRM Analytics Cross-sell and Up-sell Customer Retention Credit Risk Analytics in Financial Services Credit Scoring and Decisioning Integration of Bureau Data Collections Strategy Fraud Risk Analytics in Financial Services Introduction to Fraud Types of Fraud Predictive Analytics for Fraud control Fraud Scoring Students of Jigsaw are placed in bluechip companies. Jigsaw Academy’s course content is developed and delivered by analytics experts from around the globe. They help students understand how to apply analytic techniques to business problems and this gives Jigsaw students that edge in the marketplace.
  • 4. Enrol in this course now. The pre-requisites for this course include a knowledge of the analytics methodology as well as popular analytic techniques such as regression and clustering. Participants should also have a working knowledge of the language of SAS. Fee & other details. Participants will get access to about 20 hours of pre-recorded video lectures, 15 hours of pre-recorded classroom training & 60 hours of lab time. Participants will have access to the video lectures for a period of 6 months. Participants also get 2 hours of Q&A every month, with live sessions of 2 hours each with course faculty. Course fee: Rs. 20,000 Registration details. Please visit the following web link to get more information about this course and to register online– http://www.jigsawacademy.com/analytics-courses/financial-analytics THE ONLINE SCHOOL OF ANALYTICS For more information please visit www.jigsawacademy.com, or +91 9243522277, 9008017000 info@jigsawacademy.com www.analyticstraining.com http://jigsawacademy.com/faqs