4 Initiatives Jobs

Leading a team comprising of qualified chartered accountants and handling a bouquet of corporate clients/ Individuals and partnership firms Finalizing client deliverables in consultation with the Partner Leading and coordinating tax planning and tax risk management assignments, with guidance from the Partner. This would involve handling advisory, litigation and business tax requirements of clients, comprising of and not limited to: Consultation on inbound and outbound investments Permanent Establishment issues Withholding tax advisory Reviewing key corporate tax returns and vetting of tax positions Overseeing litigation matters and attending to notices from the Tax Department Ensuring that business tax requirements are met Leading the review and modification of key tax processes and systems and identifying opportunities to streamline them Managing and maintaining relationship with clients Identifying new opportunities for serving existing clients, deciding the scope and pricing Actively working with cross-functional teams to sights new opportunities which can be taken to prospective clients Initiating and actively participating in client meetings Supervising, training and mentoring the team Actively working with cross-functional teams to provide holistic tax solutions to clients Ensuring that projects are completed efficiently within the budgeted time and cost Supporting practice management initiatives and catering to financial metrics

We're Hiring: Team Leader Collections (International Process) Location: Bhayandar, Mumbai Shift: Rotational (US Shifts) Qualification: Minimum Graduate Experience: Prior experience in International Collections is mandatory Package Offered: Up to 8 LPA Job Overview We are looking for a passionate and result-driven Team Leader Collections to lead a high-performing international collections team. The ideal candidate will bring strong leadership, analytical skills, and a customer-centric approach to drive results and team development. Required Skills & Experience Proven experience in International Collections Proficiency in MS Word, Excel, Access, and PowerPoint Strong analytical and problem -solving capabilities Excellent verbal and written communication skills High sense of ownership, accountability, and initiative Natural leader and motivator of teams Willingness to work in rotational US shifts HR Contact Details Pooja 9284020759 poojamatrix9@gmail.com

Join us as a Reconciliations Assistant Manager where you will have the opportunity to manage the GRS Production team for Barclaycard. In this role, you will be responsible for overseeing operational and reconciliation-related activities. Your main responsibilities may include managing reconciliation processes, maintaining an advanced working knowledge of the Banking control framework, handling system administration tasks, such as static setup and breaks management, and ensuring efficient reporting processes. The purpose of this role is to provide support to various business areas by assisting with day-to-day processing, reviewing, reporting, trading, and issue resolution. As the Reconciliations Assistant Manager, your key accountabilities will involve collaborating with teams across the bank to align operational processes, identifying areas for improvement, developing and implementing operational procedures and controls to mitigate risks, creating reports and presentations on operational performance, and staying informed about industry trends to implement best practices in banking operations. As an Analyst in this role, you will play a significant role in the work of related teams within the area, partner with other functions and business areas, take responsibility for end results of operational processing and activities, escalate policy breaches as needed, embed new policies and procedures for risk mitigation, advise on decision-making within your area of expertise, manage risk and strengthen controls, and ensure compliance with relevant rules, regulations, and codes of conduct. Furthermore, you will be expected to maintain a deep understanding of how your sub-function integrates with the broader function, as well as the organization's products, services, and processes. You will demonstrate the ability to resolve problems, guide and persuade team members, and communicate complex information effectively. Additionally, you will act as a contact point for stakeholders outside of your immediate function and build a network of contacts both within and external to the organization. All colleagues are required to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset of Empower, Challenge, and Drive. These values and mindset serve as our moral compass and operating manual for ethical behavior and decision-making.,

About Blend360: Blend360 is a premier AI services provider, dedicated to solving complex business challenges through the power of Data Science, AI, and technology. We co-create impactful solutions by seamlessly integrating human expertise with artificial intelligence, fostering innovation, and unlocking value for our clients. Our mission is to fuel bold visions, and we believe that People + AI can create meaningful impact. For more information, visit www.blend360.com. Role Highlights: This is not just a leadership role it's a hands-on, execution-driven position where you will build, optimize, and deploy AI/ML models while leading a team. As a Manager Data Science , you will work at the intersection of machine learning, generative AI, and business problem-solving. Youll be responsible for developing cutting-edge solutions, guiding projects from ideation to production, and mentoring a team of data scientists to drive measurable impact. If you thrive in a fast-paced, hands-on environment where you can design, develop, and implement AI-powered solutions while leading from the front, wed love to have you on board! What Youll Tackle Each Day: Hands-on AI & ML Development: Build, train, and deploy ML models from classical techniques (Classification, Regression, Forecasting) to advanced deep learning, LLMs, and Generative AI. Perform feature engineering, statistical analysis, and model tuning to enhance predictive capabilities. Work with big data tools (Hadoop, PySpark, Hive) to process large datasets efficiently. Develop AI-driven solutions tailored for industries like Retail, CPG, BFSI, Healthcare, and eCommerce. Optimize and automate machine learning pipelines for scalable deployment. End-to-End AI/ML Deployment: Own the full ML lifecycle , from development to deployment and monitoring. Collaborate with Data Engineering teams to build production-ready ML pipelines. Work with cloud platforms such as Azure, AWS, GCP, or Databricks for model deployment and monitoring. Design and implement A/B testing strategies to measure model impact. Project Execution & Delivery: Drive multiple AI/ML initiatives from concept to execution , ensuring quality and timely delivery. Partner with cross-functional teams (Product, Data Engineering, Business) to translate business problems into scalable AI solutions . Own project roadmaps, track milestones, and ensure stakeholder alignment. Communicate AI/ML concepts effectively to both technical and non-technical stakeholders . Leadership & Team Growth: Lead by doing mentor and guide a high-performance team of data scientists. Set technical direction, review code, and establish best practices in AI/ML development. Foster a culture of continuous learning, innovation, and hands-on problem-solving . Provide career development guidance and help team members achieve technical excellence. What You Bring to the Table: 8+ years of hands-on experience in Data Science & AI , with strong expertise in ML, Python, and SQL . Exposure to Generative AI Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities Deep understanding of ML algorithms , including NLP, LLMs, forecasting, and optimization techniques. Proven track record of building and deploying machine learning models in production environments. Expertise in at least one cloud platform: AWS, Azure, GCP, or Databricks . Strong grasp of statistics, probability, and causal inference . Ability to break down complex AI concepts for business stakeholders. Experience with big data tools (Hadoop, Hive, PySpark) and ML workflow automation . Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics .