Conversion rate optimization Specialist

Skills

1. A competent user of all internal systems, to include our employee records system (HRMS- SPINE)
2. Updating and maintaining HR systems, records, and reports with accurate employee data.
3. Undertake all required pre-employment checks, updating, and discussing with line manager and recruitment team as appropriate.
4. Providing MIS & monthly employee payroll data in support of the payroll subject matter expert.
5. Processing changes to employee's circumstances, including preparing accurate and effective documentation/communication and updating relevant databases.
6. Processing leavers, including preparing accurate, relevant documentation and updating systems accordingly.
7. Producing Information reports and complete any HR audit requirements and/or reporting as required.
8. Ensuring that the end-to-end HR process always supports a positive employee experience.
9. Following existing HR processes accurately and challenging these for ongoing efficiencies.
10. Supporting HR priority projects with any administrative activity
11. Responding to emails on behalf of the department
12. Providing ad-hoc administrative support to any of the other HR functions, as necessary and in line with business requirements.

Technical Skills Required – Mandatory:

- Cloud Technologies – AWS OR Bigdata (Basic Level)

- Python (Highly Experience Level)

- Databases – SQL (Highly Experience Level)

- Operating Systems – Unix (Highly Experience Level)

Strong knowledge in writing complex SQL queries and Knowledge of Performance Tuning

Excellent working knowledge of production support role and Strong debug/troubleshooting skills

Provide 24×7 operational support to all production practices on holidays and weekends.

Hands-on experience in production support for data engineering processes, root cause analysis, and identifying opportunities to improve existing processes.

Roles and Responsibilities:

Set up and optimize the existing integration, monitoring and alerting processes.

Working knowledge of ETL/ELT in Hadoop, Spark and MPP databases is required.

Effectively collaborate with the partners (SMEs, DBA, and Business users) to ensure the reliability of the Data systems.

SUMMARY:

Seeking individuals with demonstrated experience in Back-End Web Development

responsible for managing the interchange of data between the server and the users. Your

primary focus will be development of all server-side logic, definition and maintenance of the

central database, and ensuring high performance and responsiveness to requests from the

front-end. You will also be responsible for integrating the front-end elements of our AI SaaS

application modules and solve revenue-growth problems, at the intersection of demand and

supply, which are faced by the Fortune 1000 CPG/FMCG companies.

Frontend Engineer - (6-10 years’ experience)

As a Front End Web Engineer you will be responsible for building the next generation of user experiences. We need a highly motivated and skillful engineer to work with HTML, Typescript/JavaScript, and CSS/Sass and related tooling, frameworks, and libraries. Attention to detail and a dedication to deliver a high-quality, stable delivery is essential.

If you want to be part of this amazing team, this position is for you.

Key Skills:

• Proficient in at least one JavaScript framework like Angular, React, VueJS, or equivalent
• Proficient in Typescript, HTML, CSS3 usage in building large scale applications
• Expertise in front-end design and JavaScript libraries such as AngularJS, ReactJS, jQuery, and VueJS
• Passion for building a rich and innovative user experience
• Strong computer science fundamentals in design, data structures, and problem solving
• Experience in Single Page Application architecture

Description:

• Build pixel-perfect, robust and, accessible user interfaces on the web
• Drive independently a project from inception to production deployment with a strong focus on performance and robustness
• Follow our software development process including writing unit tests, perform code reviews etc.
• Ability to learn and apply new technologies quickly
• Work effectively with cross-functional teams to develop features
• Provide support for production deployments
• Demonstrate ability to deliver results on time with high quality
• Experience handling distributed vendor resources

What you need to have:

• 5+ years of testing experience, preferably in a product organization
• Strong knowledge of SQL and ETL Testing
• Extensive experience in ETL/ Data warehouse backend testing and BI Intelligence reports testing
• Hands-on back-end testing skills and strong RDBMS and testing methodologies.
• Expertise in test management tools and defect tracking tools i.e HP Quality Center, Jira
• Proficient experience of working on SDLC & Agile Methodology
• Excellent Knowledge of Database Systems Vertica /Oracle/ Teradata
• Knowledge in security testing will be an added advantage.
• Experience in Business Intelligence testing in various reports Using Tableau
• Strong comprehension, analytical, and problem solving skills
• Good interpersonal and communication skills, quick learner, and good troubleshooting capabilities.
• Good knowledge of Python Scripting.
• Working knowledge of AWS

What you need to have:

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