SAP – Finance & Controlling

Hello,

Greetings for the day !!!

We, Tridat Technologies Pvt Ltd hiring for Freshers & Experienced in our eCommerce vertical.

Ideal Candidate:

·        Graduate & Diploma holder candidates can only apply

·        Excellent English communication

·        Basic MS Office Knowledge

·        Internet-savvy

·        Familiar with Online Shopping

·        Flair for eCommerce

·        Flexible to work in any shifts

·        Web Research knowledge and online product research

 *CANDIDATES RESPONSIBILITIES:* 

1. Communication with Client based in India & US

2. Assist Customers with their orders and issues faced

3. Data Organization and Analysis

4. Data research through Google search Engine

5. Catalogue Management

6. Report Generation

 *BASIC REQUIREMENTS:* 

1. Excellent Written and Verbal communication skills

2. Good / working knowledge of MS Office tools (Excel, Word, Powerpoint)

3. Google search Engine knowledge

4. Knowledge of E-commerce business would be an added advantage

 *Training provided below:* 

Basic Excel - 4 days

Intermediate Excel - 3 days

Advance Excel - 3 days

Google - 3 days

E-commerce - 3 days

Induction

Interview after training 

 *Shifts:* 

8am to 10pm - General Shift (any 9hours)

6pm to 7am - Night Shift (any 9hours depends on project)

 *Benefits & Facilities:* 

Pick and Drop Facility (depends on shift timings)

Performance Bonus

Quarterly based rewards and recognition

6 months to Annual based appraisal

 *Processes in work* 

Content moderation

Customer service

Item set up

Cataloging

Thanks & Regards

Shraddha Kamble

What you will be doing:

As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -

• Dive into the data and identify patterns
• Development of end-to-end Credit models and credit policy for our existing credit products
• Leverage alternate data to develop best-in-class underwriting models
• Working on Big Data to develop risk analytical solutions
• Development of Fraud models and fraud rule engine
• Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
• Working on cutting-edge techniques e.g. machine learning and deep learning models

Example of projects done in past:

• Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
• Fraud model development, deployment and rules for EMEA region

Basic Requirements:

• 1-3 years of work experience as a Data scientist (in Credit domain)
• 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
• Strong problem solving and understand and execute complex analysis
• Experience in at least one of the languages - R/Python/SAS and SQL
• Experience in in Credit industry (Fintech/bank)
• Familiarity with the best practices of Data Science

Add-on Skills : 

• Experience in working with big data
• Solid coding practices
• Passion for building new tools/algorithms
• Experience in developing Machine Learning models