Financial Planning Analyst (FP&A) Role Summary: As a Financial Planning & Analysis (FP&A) expert, you will play a critical role in the finance department, reporting directly to the VP of Finance. Your responsibilities will include providing strategic financial insights, forecasts, and data-driven recommendations to support decision-making and drive business growth. You will be responsible for preparing accurate monthly financial reports, developing budgetary plans, and assisting in the creation of presentations that offer thoughtful analysis. Additionally, you will identify key action items, highlight financial trends, and effectively frame decisions for senior leadership to ensure informed and strategic planning. Role & responsibilities Financial Forecasting and Budgeting: - Develop and maintain accurate financial forecasts, including revenue, expenses, and cash flow projections both for Schemes and AMC. - Collaborate with department heads and business units to prepare annual operating budgets and track performance against targets. - Monitor budget variances and provide proactive analysis to identify areas of concern or improvement. Financial Analysis: - Conduct in-depth financial analysis of key performance indicators (KPIs), trends, and business drivers within and outside of the Industry to support decision-making. - Perform scenario analysis to assess the potential impacts of different business strategies. - Generate reports and dashboards that provide actionable insights to support strategic initiatives. Management Reporting: - Prepare regular and ad hoc financial reports for executive leadership, highlighting key / Business and Industry insights and recommendations. - Provide meaningful commentary on financial results, explaining key drivers and variances from budget and prior periods. - Collaborate with other departments to ensure accurate and timely reporting of financial data. Strategic Planning: - Contribute to the development of the company's long-term strategic plans by providing financial insights and analysis. - Assist in evaluating potential business opportunities, investments, and acquisitions by conducting financial due diligence. Financial Modeling: -Build and maintain complex financial models to support various scenarios and strategic decisions. - Analyze the financial impact of proposed initiatives and projects, including ROI analysis. Qualification -Postgraduate, Bachelor's degree in Finance, Accounting, Economics, or related field; MBA or advanced degree preferred. Professional certification, such as CFA or CA is a plus. -Around 5+ years' experience in Ops, financial planning, analysis, or related roles. -Proficiency in financial modeling and data analysis, as well as advanced Microsoft Excel skills. -Strong analytical mindset with the ability to translate complex data into actionable insights. -Knowledge of financial software and ERP systems (e.g., SAP, Oracle) is advantageous. -Familiarity with industry best practices and emerging trends in FP&A.
Join Asymbl to manage impactful projects within a dynamic and supportive environment. Your work will directly influence our success and the success of our clients. Youll have the opportunity to lead projects that leverage Salesforce technologies to drive transformation while working with a team of talented professionals who value innovation and collaboration. Responsibilities: Manage Salesforce projects from inception to delivery, ensuring alignment with business objectives and stakeholder expectations. Define and document project goals, scope, deliverables, and success criteria in collaboration with clients and internal teams. Coordinate cross-functional teams, including consultants, developers, and external partners, to achieve project milestones. Develop and maintain detailed project and project plans, ensuring resource allocation and task prioritization align with objectives. Monitor project progress, proactively identify risks and issues, and implement mitigation strategies. Provide regular status updates and reports to internal and external stakeholders, ensuring transparency and accountability. Ensure adherence to industry best practices and organizational processes throughout the project lifecycle. Promote continuous improvement by evaluating project outcomes and incorporating lessons learned into future initiatives. Qualifications: 5+ years of experience managing technology projects, with at least 3 years in Salesforce project management or consulting. Strong knowledge of Salesforce platform capabilities, including Sales Cloud, Service Cloud, and other solutions. Proven track record of delivering complex, multi-phase Salesforce projects on time and within budget. Familiarity with project management methodologies and tools (e.g., Agile, Waterfall, JIRA, or similar). Excellent communication and stakeholder management skills, with the ability to translate technical concepts into business outcomes. Strong analytical and problem-solving skills, with a focus on achieving measurable results. Salesforce certifications (e.g., Salesforce Administrator, Advanced Administrator, or Project Management certifications) are preferred. Bachelor’s degree in Business, Information Technology, or related field; advanced degree a plus.
Build AI pipelines, scale serverless systems, and power next-gen recruitment with Python, AWS, Neo4j & Salesforce. Health insurance Provident fund
Role & responsibilities Graph Architecture & Design Design and implement sophisticated graph schemas for recruitment data with 45+ unique constraints across contacts, jobs, skills, organizations, and assessments Architect domain-driven node relationships covering Core Entities (Contact, Job), Professional Entities (Role, Organization, Skill), and Process Entities (Interview, Assessment, Application) Implement constraint-heavy production deployments with safe migration patterns using IF NOT EXISTS strategies Performance Optimization & Indexing Build and maintain high-performance indexes including vector indexes for 384-dimension AI embeddings, full-text search indexes, and composite indexes for complex query patterns Optimize Cypher queries for candidate-job matching, skill similarity search, and recruitment analytics at enterprise scale Implement vector similarity search capabilities for AI-powered recommendation systems AI & Machine Learning Integration Integrate Neo4j with AI processing pipelines including confidence scoring systems and embedding generation Implement vector index management for similarity-based candidate matching and job recommendations Work with ML confidence scores and AI processing metadata to enhance graph-based intelligence Salesforce Integration & Data Management Design and implement Salesforce integration patterns with external ID mapping and source record management Handle multi-system ID management combining internal Neo4j IDs with 18-character Salesforce external IDs Process custom Salesforce objects (ATS systems) and maintain data synchronization Bulk Processing & ETL Develop high-volume ETL processes capable of handling 25,000+ resume imports with constraint validation Implement transaction management strategies with optimal batch sizes (100 rows per transaction) Build error handling and recovery systems for constraint violations and data quality issues Production Support & Monitoring Monitor constraint health across 45+ unique constraints and resolve production issues Implement performance monitoring for query optimization and index effectiveness Maintain production systems with proactive health checks and alerting Collaboration & Documentation Work closely with Python developers, AI engineers, and product teams to deliver integrated solutions Document graph schema designs, query patterns, and performance optimization strategies Provide technical leadership and mentoring on graph database best practices Preferred candidate profile Required Experience 5+ years of hands-on Neo4j development experience with production graph database systems 3+ years working with constraint-heavy schemas and performance optimization Strong expertise in Cypher query language including complex traversals, aggregations, and optimization Experience with Neo4j 5.x features including vector indexes, full-text search, and composite indexes Proven experience with bulk data processing and ETL operations in graph databases Technical Skills Deep understanding of graph database design principles and relationship modeling Proficiency with Neo4j Administration including constraint management, index optimization, and performance monitoring Experience with vector databases and similarity search implementations Knowledge of transaction management and batch processing strategies in Neo4j Familiarity with Neo4j drivers (Python preferred) and API integration patterns Integration Experience Experience with Salesforce integration and external ID management patterns Knowledge of AWS services (Lambda, SQS, ElastiCache) for graph database integration Understanding of API design for graph-based applications Experience with serverless architectures and cloud-native graph solutions Preferred Qualifications Bachelor's degree in Computer Science, Software Engineering, or related field Experience with recruitment or HR technology domains Knowledge of AI/ML integration with graph databases Neo4j certification (Graph Data Science, Administration, or Developer) Experience with monitoring tools for production graph databases Understanding of data privacy and compliance requirements for HR systems Technical Environment You'll be working with our cutting-edge technology stack: Core Technologies Neo4j 5.x with vector indexes and advanced constraint management Cypher for complex graph traversals and optimization Vector embeddings (384-dimension) for AI-powered similarity matching Python for Neo4j driver integration and API development Integration Stack AWS Lambda for serverless graph operations SQS FIFO for ordered processing of bulk operations ElastiCache Redis for caching and validation layers Salesforce APIs for external system integration AI & Data Processing OpenAI embeddings for vector generation docling for document processing and parsing Confidence scoring systems for AI processing quality Bulk ETL processing capabilities for 25,000+ records Development & Operations Production monitoring with constraint health checking Performance optimization tools and query analysis CI/CD pipelines for safe schema deployments Documentation and knowledge sharing platforms