Content Writer [ Intern] / [Full Time ] ProfileOverview: We are seeking a talented and passionate Content Writer tocreate well-researched, informative, and engaging content that strengthens ourbrand presence and establishes us as a thought leader in the financialindustry. The ideal candidate should possess a robust understanding offinancial concepts and the ability to communicate complex topics in a clear,concise, and approachable manner. Additionally, proficiency in leveragingLinkedIn marketing tools is also a key requirement. KeyResponsibilities: Develop high-quality, engaging, and informative content on finance-related topics, including personal finance, investing, market analysis, economics, financial products, and industry trends. Develop content tailored for different platforms, including blogs, website articles, newsletters, case studies, and LinkedIn posts, while maintaining a consistent brand voice. Edit, proofread, and update content to ensure itis free of errors and up to date with current industry trends. Utilize LinkedIns marketing tools to promote content and increase brand visibility. This includes managing LinkedIn Company Pages, creating Sponsored Content, and leveraging LinkedIn Ads for targeted outreach. Engage with LinkedIn Groups and identify emerging industry trends, integrating them into our content strategy. Use LinkedIn Analytics and LinkedIn Ads Manager to analyze the success of posts, sponsored content, and campaigns. Qualifications : Bachelors degree in English, Literature,Finance, Economics, or a related field. 0-2 years of experience in content writing,preferably in finance or a related domain. Certifications in marketing or contentdevelopment courses, along with relevant projects or internships, will beconsidered an added advantage. Strong understanding of key financial conceptsand industry terminology. Familiarity with LinkedIn s Premium features andmarketing tools. Strong research skills, attention to detail, andability to work independently to meet deadlines. Work from Office: Smart works, Tower B. Sector 42, Gurgaon.
Job description- Financial Analyst Job description Qualifications: CFA/CPA (Passed or pursuing), Post Graduation or Equivalent Experience: 1-4yrs. Job Description: Understanding of SEC documents. Building and maintaining financial models for credit and tear sheet review. Financial spreading for technical analysis and modelling. Collect information from company filings and other sources to maintain industry or sector databases. Running and delivering custom data requests. Analysis of quarterly earnings and writing earnings snapshot. Ready to work in competitive environment.
Job description Qualifications: CFA/CPA (Passed or pursuing), Post Graduation or Equivalent Experience: 1-4yrs. Job Description: Understanding of SEC documents. Building and maintaining financial models for credit and tear sheet review. Financial spreading for technical analysis and modelling. Collect information from company filings and other sources to maintain industry or sector databases. Running and delivering custom data requests. Analysis of quarterly earnings and writing earnings snapshot. Ready to work in competitive environment.
Job description- Financial Analyst Job description Qualifications: CFA/CPA (Passed or pursuing), Post Graduation or Equivalent Experience: 1-4yrs. Job Description: Understanding of SEC documents. Building and maintaining financial models for credit and tear sheet review. Financial spreading for technical analysis and modelling. Collect information from company filings and other sources to maintain industry or sector databases. Running and delivering custom data requests. Analysis of quarterly earnings and writing earnings snapshot. Ready to work in competitive environment.
Qualifications: CFA/CPA (Passed or pursuing), Post Graduation or EquivalentExperience; 3 yrs - 6 yrs Understanding of SEC documents. Building and maintaining financial models for credit and tear sheet review. Financial spreading for technical analysis and modelling. Collect information from company filings and other sources to maintain industry or sector databases. Analysis of quarterly earnings and writing earnings snapshot. Running and delivering custom data requests. Reviewing financial models to ensure the accuracy and integrity of data. Tracking ad hoc metrics such as credit facility information, bond offerings, equity issuances, etc. Ready to work in competitive environment.
Key responsibilities: - Leave Management Organizing team building and motivational activities Database tracking and management Assist with day-to-day operations of the HR and Admin. functions and duties Process documentation and prepare reports relating to personnel activities (staffing, recruitment, training, grievances, performance evaluations etc.) Employee Admin and payroll grievance management Employee master data management Full and final settlements Experience, relieving, joining, appraisal and other administrative letters Preparation of HR compliance documents Preparation of HR templates Preparation of HR policies and guidelines & ISO audit Coordinate communication with candidates and schedule interviews Conduct initial orientation to newly hired employees Skills and requirements: - Excellent communication and verbal skills. Problem solving capabilities Teamwork and collaboration. Learning mindset. Multitasking. Knowledge of Microsoft office, emails, meeting scheduling through calendar. Proactiveness & willing to continuously improve. Location: - Sector 42, Gurgaon Work from Office Qualifications: Postgraduate or equivalent preferred Interested candidates kindly mail their resume along with the below mentioned details at recruitment@decipherfinancials.co.in Date of Birth Total Work Experience No of Job changes Current CTC Expected CTC Current Job Location Notice Period
Senior Software Engineer (Full Stack – Next.js + FastAPI + AI Agents) Experience: 2+ years Location: Gurgaon (Onsite) Type: Full-Time Tech Stack: Next.js 14 · FastAPI · LangChain · PostgreSQL · Pandas · OpenAI About the Role We’re building the next-generation AI-driven financial intelligence platform -blending clean frontend design, high-performance backend systems, and autonomous AI agents that reason over financial documents. As a Senior Software Engineer (Full Stack) , you’ll take ownership across the stack -from architecting scalable APIs and building interactive dashboards to integrating advanced LLM agents using LangChain and OpenAI APIs. You’ll work on real-world data (SEC filings, financial statements, analytics pipelines) and bring agentic intelligence to life in production. Tech Stack Overview: Layer: Core Technologies Frontend: Next.js 14 (App Router), React 18, TypeScript, Tailwind CSS, shadcn/ui, React Query, Zustand, framer Motion Backend: FastAPI, Uvicorn, Gunicorn, Pandas, Pydantic, SQLAlchemy, PostgreSQL AI / Agentic Layer: LangChain, LlamaIndex, OpenAI / Anthropic APIs, Chroma / Weaviate Developer Tooling: Docker, Git (Bitbucket), Postman / Bruno, VS Code, JupyterLab What You’ll Build Full-Stack Web Apps: Build rich, performant web applications using Next.js 14 , TypeScript , and Tailwind . Integrate FastAPI endpoints for analytics, document uploads, and agent workflows. Agentic AI Workflows: Design and implement LangChain-based AI agents that can: Parse and summarize SEC filings (10-K, 10-Q) Extract and clean tabular data with Pandas Stream results live via WebSockets or SSE Backend APIs & Data Pipelines: Develop high-performance FastAPI endpoints using async I/O , SQLAlchemy ORM , and PostgreSQL . Orchestrate data transformation and ETL flows using Pandas and Openpyxl . LLM & RAG Integration: Integrate GPT-4 / Claude 3.5 models for financial analysis, text synthesis, and document retrieval using LlamaIndex or LangChain . Secure & Scalable Architecture: Implement JWT-based auth (or NextAuth), containerize with Docker, and deploy production-ready services behind Nginx. Key Responsibilities Architect and develop end-to-end product features across frontend, backend, and AI layers. Design and optimize ETL pipelines for financial data ingestion and transformation. Build modular, type-safe frontend components using shadcn/ui and TypeScript. Develop and maintain REST & WebSocket APIs for real-time streaming. Integrate AI models (OpenAI / Anthropic) via LangChain agents. Collaborate on database design, migrations, and ORM logic in PostgreSQL. Ensure clean, maintainable, and well-documented code following modern dev standards. Participate in code reviews, system design discussions, and deployment automation. Desired Skills & Expertise Frontend: Strong grasp of React , Next.js 13/14 , TypeScript , and React Query / Zustand Deep understanding of Tailwind CSS , shadcn/ui , and component-driven design Backend: Proficient in FastAPI , Pandas , SQLAlchemy , and PostgreSQL Solid knowledge of asynchronous Python , Pydantic , and REST API design AI Layer: Hands-on experience with LangChain , LlamaIndex , or RAG pipelines Familiarity with OpenAI / Anthropic SDKs and agentic workflows Bonus Points: Experience with Docker and cloud deployment (AWS/GCP) Familiarity with Vector Databases (Chroma, Weaviate, FAISS) Understanding of financial data , SEC filings, or quantitative analytics Background in LLM orchestration or AI tool-building 🎯 What Success Looks Like You ship production-grade features end-to-end -from frontend UI to backend APIs. You optimize agentic workflows that handle real-time document parsing and summarization. You write efficient, reusable code that’s both clean and elegant. You demonstrate ownership -solving complex data problems without constant oversight. You contribute to an ecosystem that merges engineering + data + intelligence seamlessly. 🌍 Why Join Us Build the first-of-its-kind AI financial research platform used by analysts, investors, and institutions. Work directly on real agentic AI systems (LangChain + FastAPI) Freedom to own architecture, make decisions, and ship impact.
Senior Software Engineer (Full Stack – Next.js + FastAPI + AI Agents) Experience: 2+ years Location: Gurgaon (Onsite) Type: Full-Time Tech Stack: Next.js 14 · FastAPI · LangChain · PostgreSQL · Pandas · OpenAI About the Role We’re building the next-generation AI-driven financial intelligence platform -blending clean frontend design, high-performance backend systems, and autonomous AI agents that reason over financial documents. As a Senior Software Engineer (Full Stack), you’ll take ownership across the stack -from architecting scalable APIs and building interactive dashboards to integrating advanced LLM agents using LangChain and OpenAI APIs. You’ll work on real-world data (SEC filings, financial statements, analytics pipelines) and bring agentic intelligence to life in production. Tech Stack Overview: Layer: Core Technologies Frontend: Next.js 14 (App Router), React 18, TypeScript, Tailwind CSS, shadcn/ui, React Query, Zustand, framer Motion Backend: FastAPI, Uvicorn, Gunicorn, Pandas, Pydantic, SQLAlchemy, PostgreSQL AI / Agentic Layer: LangChain, LlamaIndex, OpenAI / Anthropic APIs, Chroma / Weaviate Developer Tooling: Docker, Git (Bitbucket), Postman / Bruno, VS Code, JupyterLab What You’ll Build Full-Stack Web Apps: Build rich, performant web applications using Next.js 14, TypeScript, and Tailwind. Integrate FastAPI endpoints for analytics, document uploads, and agent workflows. Agentic AI Workflows: Design and implement LangChain-based AI agents that can: Parse and summarize SEC filings (10-K, 10-Q) Extract and clean tabular data with Pandas Stream results live via WebSockets or SSE Backend APIs & Data Pipelines: Develop high-performance FastAPI endpoints using async I/O, SQLAlchemy ORM, and PostgreSQL. Orchestrate data transformation and ETL flows using Pandas and Openpyxl. LLM & RAG Integration: Integrate GPT-4 / Claude 3.5 models for financial analysis, text synthesis, and document retrieval using LlamaIndex or LangChain. Secure & Scalable Architecture: Implement JWT-based auth (or NextAuth), containerize with Docker, and deploy production-ready services behind Nginx. Key Responsibilities Architect and develop end-to-end product features across frontend, backend, and AI layers. Design and optimize ETL pipelines for financial data ingestion and transformation. Build modular, type-safe frontend components using shadcn/ui and TypeScript. Develop and maintain REST & WebSocket APIs for real-time streaming. Integrate AI models (OpenAI / Anthropic) via LangChain agents. Collaborate on database design, migrations, and ORM logic in PostgreSQL. Ensure clean, maintainable, and well-documented code following modern dev standards. Participate in code reviews, system design discussions, and deployment automation. Desired Skills & Expertise Frontend: Strong grasp of React, Next.js 13/14, TypeScript, and React Query / Zustand Deep understanding of Tailwind CSS, shadcn/ui, and component-driven design Backend: Proficient in FastAPI, Pandas, SQLAlchemy, and PostgreSQL Solid knowledge of asynchronous Python, Pydantic, and REST API design AI Layer: Hands-on experience with LangChain, LlamaIndex, or RAG pipelines Familiarity with OpenAI / Anthropic SDKs and agentic workflows Bonus Points: Experience with Docker and cloud deployment (AWS/GCP) Familiarity with Vector Databases (Chroma, Weaviate, FAISS) Understanding of financial data, SEC filings, or quantitative analytics Background in LLM orchestration or AI tool-building 🎯 What Success Looks Like You ship production-grade features end-to-end -from frontend UI to backend APIs. You optimize agentic workflows that handle real-time document parsing and summarization. You write efficient, reusable code that’s both clean and elegant. You demonstrate ownership -solving complex data problems without constant oversight. You contribute to an ecosystem that merges engineering + data + intelligence seamlessly. 🌍 Why Join Us Build the first-of-its-kind AI financial research platform used by analysts, investors, and institutions. Work directly on real agentic AI systems (LangChain + FastAPI) Freedom to own architecture, make decisions, and ship impact.
About the Role We are looking for a Senior Backend Engineer who can design, build and optimize high performance backend systems in a modern, service oriented environment. The role involves architecting robust APIs, scalable data processing components and agentic AI workflows using frameworks like LangChain and LangGraph. You will work closely with cross functional teams to deliver reliable backend infrastructure that powers advanced automation and LLM driven features. Key Responsibilities • Design and develop scalable backend services using Python or Java • Build APIs and microservices that support agentic AI workflows • Architect and implement pipelines using LangChain, LangGraph or similar orchestration frameworks • Integrate LLM powered tools and automation into backend systems • Create reliable data ingestion and transformation components • Maintain clean, modular, well tested code with strong emphasis on reliability and performance • Work with cloud infrastructure, containerization and CI/CD pipelines for smooth deployments • Troubleshoot, debug and optimize services in production environments Required Skills and Experience • Strong programming experience in Python or Java • Solid understanding of backend architecture, REST APIs, asynchronous programming and distributed systems • Experience building production grade services using FastAPI, Flask, Spring or related frameworks • Hands on experience with LLM APIs and frameworks such as LangChain, LangGraph or agent based orchestration tools • Knowledge of data pipelines, ETL processes and workflow automation • Good understanding of relational and NoSQL databases • Experience with Docker, Kubernetes, AWS or GCP • Strong debugging, profiling and system optimization abilities Good to Have • Familiarity with SEC filings, especially 10K and 10Q • Experience with event driven systems or streaming technologies
About the Role We are looking for a Senior Backend Engineer who can design, build and optimize high performance backend systems in a modern, service oriented environment. The role involves architecting robust APIs, scalable data processing components and agentic AI workflows using frameworks like LangChain and LangGraph. You will work closely with cross functional teams to deliver reliable backend infrastructure that powers advanced automation and LLM driven features. Key Responsibilities Design and develop scalable backend services using Python or Java Build APIs and microservices that support agentic AI workflows Architect and implement pipelines using LangChain, LangGraph or similar orchestration frameworks Integrate LLM powered tools and automation into backend systems Create reliable data ingestion and transformation components Maintain clean, modular, well tested code with strong emphasis on reliability and performance Work with cloud infrastructure, containerization and CI/CD pipelines for smooth deployments Troubleshoot, debug and optimize services in production environments Required Skills and Experience Strong programming experience in Python or Java Solid understanding of backend architecture, REST APIs, asynchronous programming and distributed systems Experience building production grade services using FastAPI, Flask, Spring or related frameworks Hands on experience with LLM APIs and frameworks such as LangChain, LangGraph or agent based orchestration tools Knowledge of data pipelines, ETL processes and workflow automation Good understanding of relational and NoSQL databases Experience with Docker, Kubernetes, AWS or GCP Strong debugging, profiling and system optimization abilities Good to Have Familiarity with SEC filings, especially 10K and 10Q Experience with event driven systems or streaming technologies
Role Overview We are seeking a motivated Analyst who has strong financial acumen, a solid understanding of SEC filings, and an interest in financial modelling and research. The role demands analytical thinking, attention to detail, and the ability to work in a performance-driven and competitive environment. Key Responsibilities • Understanding and reviewing SEC documents and other regulatory filings. • Building and updating financial models for credit analysis and tear sheet preparation. • Performing financial spreading to support modelling and analytical work. • Collecting data from company filings and external sources to maintain accurate sector and industry datasets. • Executing and delivering customized data research requests as required. Decipher Financials Smart works, Tower -B, Sector 42 Gurugram, Haryana, 122002 • Analyzing quarterly earnings and preparing structured earnings summaries or snapshots. • Demonstrating readiness to work in a fast-paced, learning-focused environment. Skills & Qualifications • CFA or CPA (Passed or Pursuing) preferred. • Post-graduate in Finance, Accounting, Economics, or related field OR equivalent relevant experience. • Strong understanding of financial statements, ratios, and analytical frameworks. • Experience in Excel-based modelling and financial research (preferred but not mandatory for strong learners). • Strong communication skills, analytical reasoning, and time management abilities. • Ability to adapt to fast-paced workflow, accuracy expectations, and tight deadlines. What You Can Expect • Exposure to real global financial research work. • Learning-driven environment with performance-led growth. • Ownership-focused culture with meaningful responsibilities. • Competitive compensation aligned with performance.
Role Overview We are seeking a motivated Analyst who has strong financial acumen, a solid understanding of SEC filings, and an interest in financial modelling and research. The role demands analytical thinking, attention to detail, and the ability to work in a performance-driven and competitive environment. Key Responsibilities Understanding and reviewing SEC documents and other regulatory filings. Building and updating financial models for credit analysis and tear sheet preparation. Performing financial spreading to support modelling and analytical work. Collecting data from company filings and external sources to maintain accurate sector and industry datasets. Executing and delivering customized data research requests as required. Decipher Financials Smart works, Tower -B, Sector 42 Gurugram, Haryana, 122002 Analyzing quarterly earnings and preparing structured earnings summaries or snapshots. Demonstrating readiness to work in a fast-paced, learning-focused environment. Skills & Qualifications CFA or CPA (Passed or Pursuing) preferred. Post-graduate in Finance, Accounting, Economics, or related field OR equivalent relevant experience. Strong understanding of financial statements, ratios, and analytical frameworks. Experience in Excel-based modelling and financial research (preferred but not mandatory for strong learners). Strong communication skills, analytical reasoning, and time management abilities. Ability to adapt to fast-paced workflow, accuracy expectations, and tight deadlines. What You Can Expect Exposure to real global financial research work. Learning-driven environment with performance-led growth. Ownership-focused culture with meaningful responsibilities. Competitive compensation aligned with performance.
Role Overview We are seeking a motivated Analyst who has strong financial acumen, a solid understanding of SEC filings, and an interest in financial modelling and research. The role demands analytical thinking, attention to detail, and the ability to work in a performance-driven and competitive environment. Key Responsibilities • Understanding and reviewing SEC documents and other regulatory filings. • Building and updating financial models for credit analysis and tear sheet preparation. • Performing financial spreading to support modelling and analytical work. • Collecting data from company filings and external sources to maintain accurate sector and industry datasets. • Executing and delivering customized data research requests as required. Decipher Financials Smart works, Tower -B, Sector 42 Gurugram, Haryana, 122002 • Analyzing quarterly earnings and preparing structured earnings summaries or snapshots. • Demonstrating readiness to work in a fast-paced, learning-focused environment. Skills & Qualifications • CFA or CPA (Passed or Pursuing) preferred. • Post-graduate in Finance, Accounting, Economics, or related field OR equivalent relevant experience. • Strong understanding of financial statements, ratios, and analytical frameworks. • Experience in Excel-based modelling and financial research (preferred but not mandatory for strong learners). • Strong communication skills, analytical reasoning, and time management abilities. • Ability to adapt to fast-paced workflow, accuracy expectations, and tight deadlines. What You Can Expect • Exposure to real global financial research work. • Learning-driven environment with performance-led growth. • Ownership-focused culture with meaningful responsibilities. • Competitive compensation aligned with performance.
About the Role We are looking for a Senior Backend Engineer who can design, build and optimize high performance backend systems in a modern, service oriented environment. The role involves architecting robust APIs, scalable data processing components and agentic AI workflows using frameworks like LangChain and LangGraph. You will work closely with cross functional teams to deliver reliable backend infrastructure that powers advanced automation and LLM driven features. Experience - 5-7 Years Key Responsibilities • Design and develop scalable backend services using Python or Java • Build APIs and microservices that support agentic AI workflows • Architect and implement pipelines using LangChain, LangGraph or similar orchestration frameworks • Integrate LLM powered tools and automation into backend systems • Create reliable data ingestion and transformation components • Maintain clean, modular, well tested code with strong emphasis on reliability and performance • Work with cloud infrastructure, containerization and CI/CD pipelines for smooth deployments • Troubleshoot, debug and optimize services in production environments Required Skills and Experience • Strong programming experience in Python or Java • Solid understanding of backend architecture, REST APIs, asynchronous programming and distributed systems • Experience building production grade services using FastAPI, Flask, Spring or related frameworks • Hands on experience with LLM APIs and frameworks such as LangChain, LangGraph or agent based orchestration tools • Knowledge of data pipelines, ETL processes and workflow automation • Good understanding of relational and NoSQL databases • Experience with Docker, Kubernetes, AWS or GCP • Strong debugging, profiling and system optimization abilities Good to Have • Familiarity with SEC filings, especially 10K and 10Q • Experience with event driven systems or streaming technologies
Role Overview We are seeking a motivated Analyst who has strong financial acumen, a solid understanding of SEC filings, and an interest in financial modelling and research. The role demands analytical thinking, attention to detail, and the ability to work in a performance-driven and competitive environment. Key Responsibilities • Understanding and reviewing SEC documents and other regulatory filings. • Building and updating financial models for credit analysis and tear sheet preparation. • Performing financial spreading to support modelling and analytical work. • Collecting data from company filings and external sources to maintain accurate sector and industry datasets. • Executing and delivering customized data research requests as required. Decipher Financials Smart works, Tower -B, Sector 42 Gurugram, Haryana, 122002 • Analyzing quarterly earnings and preparing structured earnings summaries or snapshots. • Demonstrating readiness to work in a fast-paced, learning-focused environment. Skills & Qualifications • CFA or CPA (Passed or Pursuing) preferred. • Post-graduate in Finance, Accounting, Economics, or related field OR equivalent relevant experience. • Strong understanding of financial statements, ratios, and analytical frameworks. • Experience in Excel-based modelling and financial research (preferred but not mandatory for strong learners). • Strong communication skills, analytical reasoning, and time management abilities. • Ability to adapt to fast-paced workflow, accuracy expectations, and tight deadlines. What You Can Expect • Exposure to real global financial research work. • Learning-driven environment with performance-led growth. • Ownership-focused culture with meaningful responsibilities. • Competitive compensation aligned with performance.