11+ Financial management Jobs in Chennai | Financial management Job openings in Chennai
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Job Location – Chennai - Ekaduthangal (Work From Office)
Job description
- Partner with Internal stakeholders across business units (i.e., sales, finance, Catalog, Customer Service) to develop necessary analysis and documentation in a collaborative way, communicating effectively and efficiently with managerial, and executive teams
- Drive identification of requirements across business units and identify substandard systems processes through evaluation of real-time data.
- Create and implement precise management plans for every project, with attention to transparent communication at all levels
- Evaluate, analyze, and communicate systems requirements on a continuing basis, and maintain systems processes, including the delivery of monthly status reports to all appropriate parties
- Author and update internal and external documentation, and formally initiate and deliver requirements and documentation
- Develop meaningful and lasting relationships with Stakeholders for optimized systems integration, and respond to questions and concerns from managers and executives with supporting research and recommendations
Required Candidate profile
- Previous working experience as a Business Analyst for 2 to 9 year(s)
- Preferably Masters in Business Management, Information Technology, Financial Management or similar relevant filed
- Practical experience generating process documentation and reports
- Excellent organizational and time management skills
- Outstanding communication and presentation skills
- Critical thinker
- Creative problem solver
- Great analytical skills
- Working Knowledge of SQL (Queries & Stored Procedures) would be an added advantage.
Perks and Benefits
Competitive salary Medical Benefits/accident Cover Flexi Office Working Hours Fast paced start up
Are you passionate about fashion, trends, and helping people look and feel their best? We're looking for a Fashion Consultant for one of our Fashion Merchandise Brand
Job Title: Fashion Consultant
Location: Chennai / Hyderabad / Bangalore / Coimbatore / Trichy / Kerala
Experience : 0 to 4 years
Department: Styling / Retail / Merchandising
Reports To: Store Manager / Creative Director / Brand Head
Job Type: Full-Time ( 6 days working)
Job Responsibility :
We are looking for a stylish, customer-focused, and trend-savvy Fashion Consultant to join our team. You'll play a key role in elevating the customer experience by offering personalized style advice, curating looks, and guiding product choices based on current trends and individual client needs. The ideal candidate has a strong eye for fashion, excellent communication skills, and the ability to translate trends into wearable, brand-aligned looks.
Interested candidates can share your profile immediately
AI/ML Engineer AI Operating System for Capital Markets Location Bangalore/Chennai Experience 5+ years Function Artificial Intelligence / Machine Learning Employment Type About Transient.AI Full-time Transient.AI is building a next-generation AI Operating System for capital markets — a unified intelligence layer that connects research, trading, compliance, and sales functions at banks and hedge funds. Today, these teams largely operate on disconnected legacy systems, forcing manual, expensive workarounds. Transient.AI replaces that fragmentation with a single AI-native layer built for institutional-grade compliance, security, and auditability. The company already has live products in market, including Caddie.AI (a research automation tool that cuts hedge fund research time significantly), ClarityRIA (helping sales teams identify the right investors in seconds), and CapFlo.AI (automated parsing of complex derivatives contracts). Founded by former traders and technologists from Goldman Sachs, Credit Suisse, UBS, and McKinsey, Transient.AI is headquartered in New York, with teams in Miami, Singapore, and India. The company has raised Series A funding and is scaling its engineering and product organization globally. Role Overview Transient.AI is hiring an experienced AI/ML Engineer to join its India engineering team in Bangalore/Chennai. This is a hands-on, build-from-scratch role — you'll be designing and shipping the core machine learning systems that power the company's flagship products, working closely with founders and senior engineers rather than inheriting existing infrastructure. Key Responsibilities • Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration). • Workonapplied NLP/LLMsystems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines. • Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems. • Ownmodelperformance, reliability, and cost — from experimentation through production deployment. • Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration. • Ensuresystems meet the compliance, auditability, and security standards required in regulated financial environments. What We're Looking For • 5+years ofexperience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent). • Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued. • Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning). • Prior experience at a strong product company, high-growth startup, or a top-tier engineering background • Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity. • Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory. WhyJoin Transient.AI • Build core AI systems from the ground up — not maintain legacy code. • Workdirectly with founders who have deep, first-hand Wall Street experience (Goldman Sachs, Credit Suisse, UBS, McKinsey). • JoinaSeries A-funded company solving a real, expensive problem for institutional finance. • Bepart ofasmall, global team with outsized ownership and impact. .
Primary Skills
- Observability: ELK (Elasticsearch/Kibana), Prometheus, Grafana, PromQL
- Automation: Java/Vert.x or Python (FastAPI), Shell/Bash, REST/SOAP APIs
- Cloud & Platform: Docker, Kubernetes, Kafka, Redis
- Reliability Engineering: Distributed Systems, Microservices, Event-Driven Architecture, DR & Incident Management
- Stakeholder Management & Cross-functional Collaboration
Secondary Skills
- Agentic AI: LangChain, LangGraph, RAG, MCP
- LLM Integration & AI Frameworks
- Python (FastAPI)
Key Responsibilities
- Build and deploy LLM-powered Agentic AI solutions with tool calling and autonomous workflows.
- Integrate AI capabilities into existing applications using modern AI frameworks.
- Own platform reliability through SLAs, SLOs, error budgets, MTTD/MTTR, and operational governance.
- Enhance observability using ELK, Prometheus, Grafana, and advanced alerting.
- Lead incident response, RCA, disaster recovery, and resiliency initiatives.
- Drive production readiness, automation, platform stability, and infrastructure optimization.
Role & Responsibilities
Achieve Revenue and Market Share Targets:
Develop and implement effective sales strategies to meet or exceed revenue targets.
Identify and capitalize on new business opportunities to expand market share.
Customer Engagement and Relationship Management:
Identify and develop relationships with key accounts and potential customers.
Set up product demonstrations, discuss technical solutions, and manage complex negotiations to secure contracts.
Market Analysis and Strategic Planning:
Analyze market trends and competitors to identify growth opportunities.
Provide regular sales reports and forecasts to the Director of Sales, highlighting performance and strategic insights.
Cross-functional Collaboration and Seamless Execution:
Collaborate with internal stakeholders (operations, finance, customer service) to ensure seamless execution of sales plans.
Partner with customers during the initial days of product usage to ensure faster adoption and a smooth handover to account managers, ensuring a seamless customer experience.
As the Marketing Automation Manager, you will be responsible for executing campaigns and initiatives across multiple marketing channels, with a focus on email marketing, marketing automation, and lead generation. You will work closely with the Brand Strategy team and other members of the marketing team to develop and execute campaigns that support our business objectives and drive revenue growth.
Roles and Responsibilities:
- Develop and implement marketing automation strategies aligned with the business objectives and long-term customer acquisition and retention goals.
- Collaborate with the marketing team to plan and execute marketing campaigns that leverage marketing automation capabilities.
- Drive lead generation efforts by implementing effective strategies and tactics within marketing automation platforms. Create and optimize lead capture forms, landing pages, and lead scoring models to enhance lead quality and conversion rates.
- Use analytical tools and data sources to track, analyze, and report on campaign performance, including metrics such as open rates, click-through rates, conversion rates, and overall campaign effectiveness.
- Work closely with cross-functional teams, including sales, content, and design, to align marketing automation initiatives with overall marketing strategies.
- Maintain knowledge of GDPR, PECR, and other relevant privacy regulations to ensure compliance with marketing automation practices.
- Stay informed about marketing automation trends, tools, and best practices within the B2B technology industry. Conduct research and benchmarking to identify opportunities for innovation and optimization in marketing automation strategies and tactics.
Requirements:
- Prior experience in marketing automation or digital marketing for a high-growth B2B technology business.
- Hands-on experience in setting up automated campaigns using platforms like Hubspot, Salesforce, and similar marketing automation tools.
- Expertise in implementing web tracking technologies such as Google Analytics, Mixpanel, Snowflake, etc.
- Strategic mindset to help the business achieve long-term customer acquisition and retention goals.
- Proven ability to translate complex data into actionable insights for stakeholders.
- Ability to pivot quickly and make fast decisions based on changing needs in a high-growth environment.
- Comfortable working under tight deadlines and strong attention to detail.
- Excellent interpersonal, communication, and project management skills with the ability to prioritize tasks across multiple projects.
- Knowledge of GDPR, PECR, and other relevant privacy regulations.
We are hiring Full Stack Developers who are passionate, self-driven and capable of working in both frontend and backend technologies. They will work closely with our product team in building features and applications to directly benefit the product's growth.
We have a ton of interesting problems to solve. You will be surrounded by hard-working and smart developers who share the same goals as yours.
Responsibilities:
- Managing the complete software development process from conception to deployment
- Developing and managing well-functioning databases and applications.
- Modifying and testing changes to previously developed program
- Working effectively in collaboration with other teams /partners in Scaled Agile Framework and other support functions when required with a continuous focus on improving applications.
- Ensuring quality delivery of the code to UAT and production environments with complete ownership.
- Working towards improving code quality standardization.
- Maintaining and upgrading the software following deployment
- Managing the end-to-end life cycle for the production of software and applications
- Overseeing and guiding the analyzing, writing, building, and deployment of software
- Overseeing the automated testing and providing feedback to management during the development process
- Being creative in using tools and third-party services to deliver the code faster
Requirements:
- Extensive experience in Python in the backend
- Experience in web frameworks like Django
- Proficiency in HTML, CSS and Javascript front-end frameworks such as React, Vue or such
- Experience with Postgres, SQLite
- Experience with Version Control Systems like Git
- Sound knowledge of Software engineering best practices
- Sound knowledge in RestFul API Design
- Good knowledge of database concepts
- Good understanding of incorporating ML models in Python applications
- Strong communication skills
- Experience in maintaining production servers
- Experience with AWS / Digital Ocean / Heroku
Budget: Industry Standards
Location: Bangalore, Pune, Noida and Chennai (WFO)
Positions: Multiple
Skills:
- .net with MVC/Angular/Web API
- Exp in SQL
Good understating or hand's on in Kafka Admin / Apache Kafka Streaming.
Implementing, managing, and administering the overall hadoop infrastructure.
Takes care of the day-to-day running of Hadoop clusters
A hadoop administrator will have to work closely with the database team, network team, BI team, and application teams to make sure that all the big data applications are highly available and performing as expected.
If working with open source Apache Distribution, then hadoop admins have to manually setup all the configurations- Core-Site, HDFS-Site, YARN-Site and Map Red-Site. However, when working with popular hadoop distribution like Hortonworks, Cloudera or MapR the configuration files are setup on startup and the hadoop admin need not configure them manually.
Hadoop admin is responsible for capacity planning and estimating the requirements for lowering or increasing the capacity of the hadoop cluster.
Hadoop admin is also responsible for deciding the size of the hadoop cluster based on the data to be stored in HDFS.
Ensure that the hadoop cluster is up and running all the time.
Monitoring the cluster connectivity and performance.
Manage and review Hadoop log files.
Backup and recovery tasks
Resource and security management
Troubleshooting application errors and ensuring that they do not occur again.






