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Key Responsibilities
- Conduct desk research on regulatory, compliance, and risk-related topics across different countries.
- Collect, organize, and maintain information from multiple sources (government sites, reports, providers, etc.).
- Analyze and summarize findings into structured formats (Excel, Word, PPT).
- Support the team in preparing research notes, databases, and reports for ongoing projects.
- Contribute insights that will help product and business teams in decision-making.
Requirements
- MBA student (Tier 2/3 colleges) with interest in compliance, fintech, or research.
- Strong desk research and documentation skills.
- Attention to detail and ability to synthesize findings clearly.
- Self-motivated and able to work independently.
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About the Role
We are seeking an experienced Scrum Master with a proven track record of driving Agile transformation and delivering high-value technology solutions in the FinTech domain. The ideal candidate will be an expert in Agile frameworks, a servant-leader for cross- functional teams, and a strategic partner for product and business stakeholders. You will play a key role in facilitating digital product delivery, scaling Agile practices, and fostering a culture of continuous improvement across multiple squads in a fast-paced financial services environment.
Key Responsibilities
Act as a servant leader and coach for 2–3 Agile squads within the FinTech domain.
Partner with Product Owners and Business Analysts to ensure clear product vision, backlog refinement, and prioritization.
Facilitate all Scrum ceremonies (Daily Standups, Sprint Planning, Reviews, Retrospectives, PI Planning for SAFe if applicable).
Remove impediments to delivery, working with stakeholders across engineering, compliance, risk, and business teams.
Drive adoption of Agile at Scale frameworks (SAFe, LeSS, or Spotify model) across the fintech portfolio.
Ensure teams adhere to regulatory, compliance, and security standards critical to the financial industry.
Use data-driven metrics (velocity, burndown, cycle time, defect leakage) to optimize delivery performance.
Mentor junior Scrum Masters and contribute to the Agile Center of Excellence.
Foster a culture of transparency, collaboration, innovation, and continuous improvement.
Align delivery outcomes with business priorities in payments, digital banking, lending, trading, or wealth management.
Skills & Qualifications
8-10 years of professional experience, with at least 5 years as a Scrum Master in complex, regulated industries (FinTech, Banking, Payments, Insurance, Trading Platforms, etc.).
Strong expertise in Agile methodologies (Scrum, Kanban, SAFe, LeSS, Spotify model).
Proven ability to facilitate end-to-end delivery of large-scale digital financial products.
Excellent stakeholder management, with experience partnering with product, compliance, and technology leadership.
Strong knowledge of financial regulations, compliance, and risk frameworks (e.g., PCI- DSS, PSD2, SOX, KYC/AML).
Skilled in Agile tools (Jira, Confluence, Rally, Azure DevOps).
Exceptional facilitation, conflict resolution, and servant-leadership skills.
Strong analytical mindset with experience using Agile metrics for decision-making.
Certifications preferred: CSM, PSM II/III, SAFe Agilist, ICP-ACC, CSP-SM.
Why Join Us?
Opportunity to drive Agile transformation in a high-growth FinTech environment.
Work on cutting-edge financial technology solutions shaping the future of digital banking, payments, and investments.
Collaborative, innovative, and inclusive workplace culture.
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About the Role
A detail-oriented and strategic Business Support Executive to join our Southeast Asia Sales team. This role will play a key part in supporting the South East Asia end-to-end sales cycle — from pre-sales planning to post-sales reporting — by providing data-driven insights, process optimization, and operational support. You will act as the link between the sales team and cross-functional departments such as Finance, Compliance, and Product.
Key Responsibilities
Sales Support & Analysis
- Assist in preparing sales proposals and service agreements with accurate data.
- Coordinate with marketing team on sales support activities such as event preparation, marketing collaterals
- Coordinate with product team to ensure new product and feature releases are incorporated into sales materials
- Upkeep contacts, leads and deal details in CRM tool (Hubspot)
Operational Enablement
- Maintain and enhance sales presentation, templates, and process flows in consultation with the sales team.
- Manage inbound sales inquiries. Track meeting outcomes and ensure timely responses to prospect inquiries
- Coordinate with Finance, Compliance and Legal to ensure all commercial approvals are in place.
- Work with finance on billing, and follow-up on payments
Performance & Reporting
- Generate regular dashboards and reports for sales performance.
- Track the execution of key deals and flag bottlenecks or delays.
- Support regular business reviews and other strategic planning cycles.
Cross-functional Collaboration
- Work closely with sales, product, compliance, and operations teams to support client onboarding and post-sale activities.
- Participate in sales strategy meetings and contribute to business process improvements.
Qualifications
- Bachelor’s degree in Business Administration, Marketing, or related field.
- Proven 3-5 years experience in sales support, business analysis, or a similar role.
- Proficiency with CRM systems (e.g. HubSpot).
- Strong written and verbal communication skills.
- Strong collaboration skills with internal and external stakeholders.
- Excellent organizational and multitasking abilities.
- High attention to detail and accuracy.
- Proficient in Microsoft Office Suite (Word, Excel, PowerPoint).
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Intern AI/ Data analyst/ Data scientist- JD
An AI Engineer Intern supports the development and implementation of AI models and systems, often working with experienced AI engineers and data scientists. Responsibilities include assisting in building, training, and fine-tuning AI models, developing and testing AI pipelines, integrating AI into applications, and maintaining data quality. Interns also participate in model evaluation, performance monitoring, and documentation.
Responsibilities
Core Responsibilities of Intern AI/ Data analyst/ Data scientist
- Collect, clean, and analyze data from diverse sources, including public and adverse media, to support risk and compliance related activities.
- Assist in identifying, aggregating, and maintaining global data sources for screening purposes.
- Conduct name screening against adverse media and other public datasets, and support the classification of results into categories such as financial crime, regulatory action, and reputational risk.
- Assist in building and testing AI/ML models for compliance applications.
- Create dashboards and reports to track KPIs, customer trends, and financial performance.
- Use tools like Python, SQL, and Excel to manipulate data and generate insights.
- Collaborate with product, engineering, and data science teams to support data-driven decisions.
- Document data processes, analysis workflows, and model performance metrics.
- Explore and experiment with emerging AI technologies.
Requirements
- 1+ year of experience analyzing , processing, and managing datasets to improve the quality of AI training models
- Proficient in Python (PyTorch, pandas, scikit-learn), SQL, MATLAB, and LaTeX; experienced in R, Java, and OpenAI Gym.
- Experience in applied mathematics, including numerical methods, PDEs, and statistical modeling, gained through coursework and projects.
- Experience in applying machine learning, reinforcement learning, and deep learning to solve real-world problems. Developed stock trading models using Python, OpenAI Gym, and natural language processing
Qualification
- Any Bachelors Degree
- Internship/Training Experience in AIML/Data Science from a Software Learning Institution
- Strong Inter personal communication skill
- Strong Technical knowledge
- Fintech experience is an additional advantage
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Job Description
We are looking for a passionate and skilled MEAN Stack Developer (Fresher) to join our technology team. You will work alongside experienced engineers to design, develop, and maintain scalable fintech applications using the MEAN (MongoDB, Nest js, Angular, Node.js, MySQL DB) stack.
Key Responsibilities
- Collaborate with cross-functional teams to define, design, and ship new features
- Develop and maintain responsive web applications using Angular
- Build RESTful APIs using Node.js and Nest js
- Integrate backend services with MySQL DB, MongoDB and third-party APIs
- Assist in bug fixing and improving application performance
- Stay up-to-date with the latest web technologies and trends in fintech
Required Skills:
- Basic understanding of MEAN Stack technologies:
- MongoDB
- MySQL DB
- Nest js
- Angular (preferably Angular 10+)
- Node.js
- Familiarity with JavaScript, HTML5, CSS3
- Knowledge of RESTful APIs and HTTP protocols
- Understanding of Git and version control systems
- Strong problem-solving and debugging skills
- Good communication and teamwork abilities
Preferred (Nice-to-Have)
- Internship or project experience in web development
- Exposure to Fintech applications or understanding of financial concepts
- Familiarity with Agile methodologies and DevOps practices
- Basic understanding of security practices in web applications
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Job Description
A MEAN/MERN Solution Architect with AI is a technical professional who designs and oversees the implementation of complex web applications using the MEAN technology stack (MongoDB, Express.js,Nest js, Angular, React and Node.js), acting as a bridge between business requirements and technical solutions by crafting scalable, secure, and efficient architectures tailored to specific project needs, while collaborating closely with development teams throughout the project lifecycle and experience in designing calable Python-based systems, microservices, and Generative AI solutions, leveraging expertise in AWS, Google Cloud, and AI/ML tools.
Responsibilities
- Requirements Gathering and Analysis:
Understand business needs, translate them into technical specifications, and identify appropriate MEAN components to address those needs.
- Architecture Design:
Create detailed technical architectures for MEAN applications, including database schema design (MySQL,MongoDB), API endpoints (Nest.js), frontend structure (Angular), and system integration patterns.
- Technology Selection:
Evaluate and recommend suitable libraries, frameworks, and tools within the MEAN stack to optimize performance and scalability.
- Proof-of-Concept Development:
Build prototypes to demonstrate the feasibility of proposed solutions and validate technical approaches.
- Development Guidance:
Provide technical leadership to development teams, ensuring adherence to architectural guidelines and best practices.
- Performance Optimization:
Analyze application performance, identify bottlenecks, and implement optimizations to ensure scalability and responsiveness.
- Security Architecture:
Design robust security measures to protect sensitive data, including authentication, authorization, and data encryption.
- Collaboration with Stakeholders:
Effectively communicate technical concepts to non-technical stakeholders, gathering feedback and managing expectations.
- Cloud Integration:
Design solutions that leverage cloud platforms like AWS or GCP for deployment and scaling.
- Architect and implement scalable cloud-based data warehouses and end-to-end
data pipelines using Google Cloud.
- Developed and applied AI/ML models for forecasting (ARIMA), data classification (logistic regression), anomaly detection (autoencoder, LSTM, SVM), and risk identification (Logistic Regression, Random Forest).
- Integrate Generative AI (Vertex AI) for summarization, narrative generation, conversational AI (RAG chatbot), multi-point agentic AI workflows, knowledge mining, reasoning and insight generation, and prompt engineering.
- Implement MLOps practices for model versioning, automated retraining, and performance monitoring.
Required Skills
- Proficient in MEAN Stack:
Deep understanding of MySQL, MongoDB, Nest js, Angular , and Node.js, including their core concepts and best practices.
- Frontend Development:
Expertise in JavaScript, HTML, CSS, and modern frontend frameworks like Angular or React.
- Backend Development:
Experience with RESTful API design, data modeling, and asynchronous programming concepts.
- System Architecture:
Ability to design scalable, distributed systems considering performance, reliability, and maintainability.
- Cloud Computing:
Familiarity with cloud platforms and their services for deployment and management.
- Communication Skills:
Excellent written and verbal communication skills to effectively collaborate with cross-functional teams.
- Machine Learning & AI:
BigQuery ML (ARIMA, Logistic Regression), Scikit-learn (SVM, Random Forest, Isolation Forest, One-Class SVM), LSTM, DistilBERT, Hugging Face Transformers, Retrieval-Augmented Generation (RAG), Chain-of-Thought Reasoning, Prompt Engineering, Knowledge Mining, Reasoning and Insight Generation (RIG)
Key Differentiators
- Experience with Microservices Architecture:
Understanding how to design and implement microservices using the MEAN stack for modularity and scalability with Gen AI.
- DevOps Practices:
Knowledge of CI/CD pipelines, containerization technologies (Docker), and infrastructure automation.
- Security Expertise:
Deep understanding of security best practices for web applications, including OWASP guidelines.
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Job Description: (Angular Front end Developer)
We are looking for a skilled and experienced Angular Frontend Developer to join our growing team. As a Frontend Developer, you will be responsible for designing, developing, and maintaining web applications using Angular framework. You will work closely with our backend developers, UX/UI designers, and other stakeholders to deliver engaging and user-friendly software solutions that meet our business needs.
Responsibilities
- Develop responsive web applications using Angular framework and related technologies.
- Collaborate with UX/UI designers to implement user interfaces that are intuitive, visually appealing, and accessible.
- Integrate frontend components with backend services using RESTful APIs or other communication protocols.
- Implement state management solutions such as NgRx or RxJS to manage application state efficiently.
- Write clean, maintainable, and reusable code following best practices and coding standards.
- Optimize application performance by identifying and addressing frontend performance bottlenecks.
- Conduct code reviews to ensure code quality, maintainability, and adherence to coding standards.
- Write unit tests and end-to-end tests to ensure the reliability and functionality of the frontend codebase.
- Collaborate with backend developers to define API contracts and ensure seamless integration between frontend and backend systems.
- Stay up-to-date with the latest trends and best practices in frontend development and contribute to continuously improving our development processes.
Skills/Qualification/Experience requirement
Angular 2-3 years of experience. Ability to develop web interfaces with Angular & CSS framework.
Should be aware of responsive framework like Bootstrap.
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Job Responsibility
- We are looking for a data scientist who will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver AI/ML based Enterprise Software Products.
- Develop solutions related to machine learning, natural language processing and deep learning & Generative AI to address business needs.
- Your primary focus will be in applying Language/Vision techniques, developing llm based applications and building high quality prediction systems.
- Analyze Data: Collaborate with cross-functional teams to understand data requirements and identify relevant data sources. Analyze and preprocess data to extract valuable insights and ensure data quality.
- Evaluation and Optimization: Evaluate model performance using appropriate metrics and iterate on solutions to enhance performance and accuracy. Continuously optimize algorithms and models to adapt to evolving business requirements.
- Documentation and Reporting: Document methodologies, findings, and outcomes in clear and concise reports. Communicate results effectively to technical and non-technical stakeholders.
Work experience background required
- Experience building software from the ground up in a corporate or startup environment.
Essential skillsets required:
- 5-15 years experience in software development
- Educational Background: Strong computer science and Math/Statistics
- Experience with Open Source LLM and Langchain Framework and designing efficient prompt for LLMs.
- Proven ability with NLP and text-based extraction techniques.
- Experience in Generative AI technologies, such as diffusion and/or language models.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Familiarity with cloud computing platforms such as GCP or AWS. Experience to deploy and monitor model in cloud environment.
- Experience with common data science toolkits, such as NumPy, Pandas etc
- Proficiency in using query languages such as SQL
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Experience working with large data sets along with data modeling, language development, and database technologies
- Knowledge in Machine Learning and Deep Learning frameworks (e.g., TensorFlow, Keras, Scikit-Learn, CNTK, or PyTorch), NLP, Recommender systems, personalization, Segmentation, microservices architecture and API development.
- Ability to adapt to a fast-paced, dynamic work environment and learn new technologies quickly.
- Excellent verbal and written communication skills
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Job description
As an AI and Machine Learning Engineer, you will be responsible for developing advanced generative AI models, fine-tuning pre-trained models, and working on data preprocessing. Collaboration with cross-functional teams is key, and expertise in graph neural networks is required. Experimentation with model architectures, adherence to ML engineering best practices, and utilization of tools like Model Garden and AWS SageMaker are essential. Staying current with AI research is vital for ongoing technology improvement and innovation.
Key Responsibilities
- Design, develop, and deploy advanced generative AI models using techniques such as BERT, Transformers architecture, and other deep learning methodologies.
- Utilize pre-trained models from libraries like Hugging Face to fine-tune and adapt models for specific tasks and domains.
- Work on data preprocessing, feature extraction, and engineering to prepare datasets for training and testing.
- Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to define project goals and requirements.
- Apply expertise in graph neural networks to develop, optimize, and implement graph-based models such as Variational Graph Autoencoders (VGAE).
- Experiment with various model architectures, hyperparameters, and techniques to improve model performance and achieve desired outcomes.
- Apply best practices in machine learning engineering, including model versioning, testing, and documentation.
- Utilize tools such as Model Garden and AWS SageMaker for model development and deployment.
- Stay up to date with the latest advancements in AI and machine learning research to continuously improve our technology stack.
Key Requirements
- Bachelors or masters degree in computer science, Engineering, or related field.
- 5-15 years of experience as a Machine Learning Engineer, with a focus on generative AI models and graph neural networks.
- Proficiency in working with deep learning frameworks such as TensorFlow or PyTorch.
- Strong experience with generative models such as BERT, GPT, and Transformers, and familiarity with Hugging Face models.
- Prior experience in deploying machine learning models using tools like Model Garden, AWS SageMaker, or similar.
- Hands-on experience with graph neural network models such as GraphSAGE, VGAE, or other relevant architectures.
- Solid understanding of machine learning principles, algorithms, and methodologies.
- Proficiency in programming languages such as Python, and experience with libraries like NumPy, Pandas, etc.
- Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Excellent communication skills and ability to explain complex concepts to non-technical stakeholders.
Preferred Qualification
- Publications, research, or contributions to the machine learning community.
- Familiarity with natural language processing (NLP) techniques and applications.
- Experience with distributed computing and model parallelism.
- Experience in the SaaS, inside sales, restaurant, hospitality, and food service industry.
- Knowledge of restaurant operations is always a plus but not necessary.
- Start-up experience (we love entrepreneurs!).
- Experience in working virtually and with a virtual team.
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Job Title
Job Description
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