Diamond & Jewellery Marketing

🔹 Position : Scrum Master (Agile & SAFe)

📍 Location : Chennai (RMZ – Face-to-Face Interview Required)

💼 Experience : 2+ Years (Total & Relevant)

💰 Budget : Up to 8 LPA

📅 Joining : Immediate

Job Description :

We are looking for a motivated and experienced Scrum Master with hands-on experience in Agile and SAFe (Scaled Agile Framework) methodologies.

The ideal candidate will have strong facilitation skills, excellent communication, and a proactive mindset to drive Agile best practices across the team.

Mandatory Skills :

Agile, Scrum, SAFe (Scaled Agile Framework), Team Facilitation, Strong Communication Skills.

Key Responsibilities :

• Facilitate Agile ceremonies such as Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives.
• Guide and coach the team on Agile and SAFe principles, ensuring adherence to best practices.
• Act as a servant leader, removing impediments and helping the team remain focused and productive.
• Foster a culture of collaboration, continuous improvement, and high performance.
• Work closely with Product Owners, Developers, and other stakeholders to ensure delivery of high-quality products.

Mandatory Skills :

• Agile & Scrum Methodologies
• SAFe Framework
• Strong communication and team facilitation skills
• Proactive problem-solving attitude

Interview Mode :

• Face-to-Face only at RMZ, Chennai

Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)

Mandatory (Experience 1): Must have 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).

Mandatory (Experience 2): Must have 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.

Mandatory (Experience 3): Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.

Mandatory (Skills 1): Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.

Mandatory (Skills 2): Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.

Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.

Mandatory (Skills 4): Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.

Mandatory (Company): B2C product organizations (fintech, e-commerce, edtech, or consumer platforms) with large-scale user datasets and analytics maturity.

Mandatory (Note): Don’t want data analysts; looking for strategic behavioral insight leaders or research-driven analytics professionals focused on user behavior and product decision-making.

• Handle incoming customer calls professionally and efficiently.
• Make outbound calls to follow up on customer inquiries or resolve issues.
• Provide accurate information about products or services to customers.
• Resolve customer complaints and ensure customer satisfaction.
• Update customer information in the database during and after each call.
• Collaborate with other team members to address customer needs effectively.
• Meet or exceed individual and team performance targets.
• Follow communication scripts and guidelines to ensure consistency.
• Stay updated on product knowledge and industry trends.
• Escalate complex issues to the appropriate department or supervisor.
• Proven experience in a customer service or voice process role.
• Excellent verbal communication skills in English+ Hindi.
• Strong active listening and problem-solving abilities.
• Ability to multitask and work in a fast-paced environment.
• Basic computer skills.

Full-Stack Machine Learning Engineer

Role: Full-Time, Long-Term Required: Python Preferred: C++

OVERVIEW

We are seeking a versatile ML engineer to join as a core member of our technical team. This is a long-term position for someone who wants to build sophisticated production systems and grow with a small, focused team. You will work across the entire stack—from data ingestion and feature engineering through model training, validation, and deployment.

The ideal candidate combines strong software engineering fundamentals with deep ML expertise, particularly in time series forecasting and quantitative applications. You should be comfortable operating independently, making architectural decisions, and owning systems end-to-end.

CORE TECHNICAL REQUIREMENTS

Python (Required): Professional-level proficiency writing clean, production-grade code—not just notebooks. Deep understanding of NumPy, Pandas, and their performance characteristics. You know when to use vectorized operations, understand memory management for large datasets, and can profile and optimize bottlenecks. Experience with async programming and multiprocessing is valuable.

Machine Learning (Required): Hands-on experience building and deploying ML systems in production. This goes beyond training models—you understand the full lifecycle: data validation, feature engineering, model selection, hyperparameter optimization, validation strategies, monitoring, and maintenance.

Specific experience we value: gradient boosting frameworks (LightGBM, XGBoost, CatBoost), time series forecasting, probabilistic prediction and uncertainty quantification, feature selection and dimensionality reduction, cross-validation strategies for non-IID data, model calibration.

You should understand overfitting deeply—not just as a concept but as something you actively defend against through proper validation, regularization, and architectural choices.

Data Pipelines (Required): Design and implement robust pipelines handling real-world messiness: missing data, late arrivals, schema changes, upstream failures. You understand idempotency, exactly-once semantics, and backfill strategies. Experience with workflow orchestration (Airflow, Prefect, Dagster) expected. Comfortable with ETL/ELT patterns, incremental vs full recomputation, data quality monitoring, database design and query optimization (PostgreSQL preferred), time series data at scale.

C++ (Preferred): Experience valuable for performance-critical components. Writing efficient C++ and interfacing with Python (pybind11, Cython) is a significant advantage.

HIGHLY DESIRABLE: MULTI-AGENT ORCHESTRATION

We are building systems leveraging LLM-based automation. Experience with multi-agent frameworks highly desirable: LangChain, LangGraph, or similar agent frameworks; designing reliable AI pipelines with error handling and fallbacks; prompt engineering and output parsing; managing context and state across agent interactions. You do not need to be an expert, but genuine interest and hands-on experience will set you apart.

DOMAIN EXPERIENCE: FINANCIAL DATA AND CRYPTO

Preference for candidates with experience in quantitative finance, algorithmic trading, or fintech; cryptocurrency markets and their unique characteristics; financial time series data and forecasting systems; market microstructure, volatility, and regime dynamics. This helps you understand why reproducibility is non-negotiable, why validation must account for temporal structure, and why production reliability cannot be an afterthought.

ENGINEERING STANDARDS

Code Quality: Readable, maintainable code others can modify. Proper version control (meaningful commits, branches, code review). Testing where appropriate. Documentation: docstrings, READMEs, decision records.

Production Mindset: Think about failure modes before they happen. Build in observability: logging, metrics, alerting. Design for reproducibility—same inputs produce same outputs.

Systems Thinking: Consider component interactions, not just isolated behavior. Understand tradeoffs: speed vs accuracy, flexibility vs simplicity. Zoom between architecture and implementation.

WHAT WE ARE LOOKING FOR

Self-Direction: Given a problem and context, you break it down, identify the path forward, and execute. You ask questions when genuinely blocked, not when you could find the answer yourself.

Long-Term Orientation: You think in years, not months. You make decisions considering future maintainability.

Intellectual Honesty: You acknowledge uncertainty and distinguish between what you know versus guess. When something fails, you dig into why.

Communication: You explain complex concepts clearly and document your reasoning.

EDUCATION

University degree in a quantitative/technical field preferred: Computer Science, Mathematics, Statistics, Physics, Engineering. Equivalent demonstrated expertise through work also considered.

TO APPLY

Include: (1) CV/resume, (2) Brief description of a production ML system you built, (3) Links to relevant work if available, (4) Availability and timezone.

Job Title: Credit Risk Analyst

Company: FatakPay FinTech

Location: Mumbai, India

Salary Range: INR 8 - 15 Lakhs per annum

Job Description:

FatakPay, a leading player in the fintech sector, is seeking a dynamic and skilled Credit Risk Analyst to join our team in Mumbai. This position is tailored for professionals who are passionate about leveraging technology to enhance financial services. If you have a strong background in engineering and a keen eye for risk management, we invite you to be a part of our innovative journey.

Key Responsibilities:

• Conduct thorough risk assessments by analyzing borrowers' financial data, including financial statements, credit scores, and income details.
• Develop and refine predictive models using advanced statistical methods to forecast loan defaults and assess creditworthiness.
• Collaborate in the formulation and execution of credit policies and risk management strategies, ensuring compliance with regulatory standards.
• Monitor and analyze the performance of loan portfolios, identifying trends, risks, and opportunities for improvement.
• Stay updated with financial regulations and standards, ensuring all risk assessment processes are in compliance.
• Prepare comprehensive reports on credit risk analyses and present findings to senior management.
• Work closely with underwriting, finance, and sales teams to provide critical input influencing lending decisions.
• Analyze market trends and economic conditions, adjusting risk assessment models and strategies accordingly.
• Utilize cutting-edge financial technologies for more efficient and accurate data analysis.
• Engage in continual learning to stay abreast of new tools, techniques, and best practices in credit risk management.

Qualifications:

• Minimum qualification: B.Tech or Engineering degree from a reputed institution.
• 2-4 years of experience in credit risk analysis, preferably in a fintech environment.
• Proficiency in data analysis, statistical modeling, and machine learning techniques.
• Strong analytical and problem-solving skills.
• Excellent communication skills, with the ability to present complex data insights clearly.
• A proactive approach to work in a fast-paced, technology-driven environment.
• Up-to-date knowledge of financial regulations and compliance standards.

We look forward to discovering how your expertise and innovative ideas can contribute to the growth and success of FatakPay. Join us in redefining the future of fintech!

Note: PLEASE READ BEFORE APPLYING

-You are currently working at Startups, VC or Tier 1 Consulting (McK, BCG, Bain, LEK, Parthenon, Kearney).

-Your current salary is within 18 LPA.

-You are ready to relocate to Bangalore.

About the role:

-Enable performance measurement and tracking of key metrics for the partnerships vertical.

-Own competition analysis and Identify new business trends in the ecosystem. Provide the business team with insights to work on new features, competitive advantage and technology intelligence.

-Work on consumer spending data emerging from card usage and provide use cases for the business team to pursue partners.

-Comparative analysis between vendors/partners and recommend choices to the business team.  

Requirements:

-1-5 years of experience in strategy, consulting roles or research roles.

-Data interpretation, presentation and comparative analysis are must haves.

-Excellent communication skills

-MBA/Management graduate from tier1 B-school  - IIM/ISB/IIT/BITS/NIT/DU Colleges

We are looking for a Java Application Developer with a minimum of 2 years of experience.

Must have experience in the Retail domain.

Java, Springboot, MVC, JSP, Postgres SQL and Oracle Skills are required.

AWS knowledge is a plus.

Should be willing to travel to the client's location whenever required.

We are looking for a hands-on Android Developer to join our mobile team. The apt applicant must have Android software development skills, a passion for delivering high-quality, rock-solid apps. Android programming works closely with other app development and technical teams.

• Translate designs and wireframes into high-quality code.
• Design, build and maintain high performance, reusable, and reliable Java and Kotlin code
• Ensure the best possible performance, quality, and responsiveness of the application.
• Identify and correct bottlenecks and fix bugs.
• Help maintain code quality, organization, and automatization.

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.

• Bachelor's degree or higher in Computer Science and minimum 4 years of Software Development experience- Knowledge of Mobile automation and experience on platforms such as espresso
• Knowledge of application profiling and performance monitoring tools such as Android profiler, AppDynamics, Dynatrace, etc.
• Excellent coding skills in an object-oriented language such as Java and Kotlin.
• Experience with offline storage, threading, and performance tuning
• Have published at least one original Android app.- Understanding of Google's Android design principles and interface guidelines- Strong knowledge of Android UI design principles, patterns, and best practices

You will be working with top-quality engineers who have built one of the best employee engagement SaaS platforms. You will be reporting to AVP Engineering and working closely with the Architect and other leads.

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality on content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore and Dublin. We have three products in our portfolio: Plum, Empuls and Compass. Xoxoday works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners or consumers for better business results.

We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. We however assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status

• To appoint Block Sales Manager in their respective Districts.
• To manage sales operations in assigned district to achieve revenue goals.
• To supervise sales team members on daily basis and provide guidance whenever needed.
• To identify skill gaps and conduct trainings to sales team.
• To work with team to implement new sales techniques to obtain profits.
• To assist in employee recruitment, promotion, retention and termination activities.
• To conduct employee performance evaluation and provide feedback for improvements.