Integrations Specialist - OIC

Job Title: Finance and Accounts manager (Accounts Receivable) - CA Qualified

Experience: 5-8 years in Accounts Receivable and Financial Reporting

Location: Gurgaon

Salary: Negotiable

Industry: Retail/ Apparel/ Fashion

Qualification: CA Qualified

This role involves revenue accounting and receivables processes for the business, ensuring accurate revenue accounting and in line with accounting standards and internal policies.

Key Deliverables (Essential Functions & Responsibilities)

Accounts Receivable Management

·         Oversee revenue accounting and reconciliation for E-commerce, Partner, and Store sales.

·         Ensure robust internal financial controls on accounts receivables, with a focus on improving collection efficiency.

·         Manage end-to-end accounts receivable operations PAN India, including team supervision and handling escalations.

·         Negotiate with banks for favorable merchant transaction rates and secure cash pickup services.

·         Ensure Partner/Marketplace reconciliations are current and escalate discrepancies in a timely manner.

Financial Reporting & Controls

·         Review and strengthen internal control systems to monitor cash and card collections, minimizing variances and discrepancies.

·         Conduct regular evaluations of PAN India financial transactions to ensure alignment with internal policies and procedures.

Audit & Governance

·         Ensure timely and accurate completion of internal and statutory audits related to revenue accounting and accounts receivable.

·         Maintain the security and confidentiality of financial documentation and records.

Ad Hoc Responsibilities

·         Manage e-voucher and gift card processes, as required.

·         Ensure adherence to revenue accounting standards for any new sales channels introduced, including proper execution of UAT for system changes.

·         Collaborate with the tax team to implement tax notifications and ensure compliance with statutory requirements.

Key Requirements

·         Strong domain expertise in Accounts Receivable and Financial Reporting.

·         Proficiency in SAP, MS Office, and reconciliation tools.

·         Excellent analytical, problem-solving, and team leadership skills.

mail updated resume with current salary-

email: etalenthire[at]gmail[dot]com

satish: 88 O2 74 9743

Job Responsibilities:-

• Develop robust, scalable and maintainable machine learning models to answer business problems against large data sets.
• Build methods for document clustering, topic modeling, text classification, named entity recognition, sentiment analysis, and POS tagging.
• Perform elements of data cleaning, feature selection and feature engineering and organize experiments in conjunction with best practices.
• Benchmark, apply, and test algorithms against success metrics. Interpret the results in terms of relating those metrics to the business process.
• Work with development teams to ensure models can be implemented as part of a delivered solution replicable across many clients.
• Knowledge of Machine Learning, NLP, Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems.
• Experience working with big data systems and big data concepts.
• Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists.
• Strong team player; ability to provide both a strong individual contribution but also work as a team and contribute to wider goals is a must in this dynamic environment.
• Experience with noisy and/or unstructured textual data.

knowledge graph and NLP including summarization, topic modelling etc

• Strong coding ability with statistical analysis tools in Python or R, and general software development skills (source code management, debugging, testing, deployment, etc.)
• Working knowledge of various text mining algorithms and their use-cases such as keyword extraction, PLSA, LDA, HMM, CRF, deep learning & recurrent ANN, word2vec/doc2vec, Bayesian modeling.
• Strong understanding of text pre-processing and normalization techniques, such as tokenization,
• POS tagging and parsing and how they work at a low level.
• Excellent problem solving skills.
• Strong verbal and written communication skills
• Masters or higher in data mining or machine learning; or equivalent practical analytics / modelling experience
• Practical experience in using NLP related techniques and algorithms
• Experience in open source coding and communities desirable.

Able to containerize Models and associated modules and work in a Microservices environment

• Java / J2ee Development environments
• Eclipse or similar tooling
• Very Strong Web front end development including JavaScript, Angular, React, etc.
• Develop REST based microservices using Spring, SpringBoot, SpringCloud, SpringListener, SpringMVC, JavaScript, HTML, XML, JUNITS Cloud, container image development and container orchestration

Skills Required:

• Angular, Spring Springboot, SQL Server

Experience Preferred:

• Looking for a full stack developer with Strong Front end experience, Spring Springboot, SQL Server, GCP

• Strong experience working as a .Net developer.
• Proficient in Microsoft .NET development using C#. Experience with web development technologies including http://asp.net/">ASP.NET, MVC, EF, HTML, JavaScript, Angular, JQuery, AJAX, and CSS.
• Experience designing and developing enterprise-grade software.
• Experience with source control management systems and deployment environments.
• Experience with debugging, performance profiling and optimization.
• Comprehensive understanding of object-oriented and service-oriented application development techniques and theories.
• Internally motivated, able to work proficiently both independently and in a team environment.