Regional Manager- Sales

Must-Have Skills

• Minimum 3 years of experience in Data Engineering / Analytics Engineering / Fintech Data roles
• Must have worked on SMS Parsing, intelligent platform, converting RAW customer SMS data into structured actionable financial signals and enabling downstream usage of SMS derived variables
• Must have established a continuous learning cycle to expand parser coverage
• Experience in Lending / NBFC / Fintech domain
• Experience working with Bureau, SMS, Device, or Banking data
• Strong Python and SQL (production level)
• Experience handling unstructured data (SMS, logs, JSON, APIs)
• Experience building data pipelines, schedulers, and cron jobs
• Strong database design and data modelling skills
• Ability to work in a startup environment with high ownership
• Familiarity with modern platforms like AWS, Snowflake, Google BigQuery, Redshift

Good to Have

• Experience in STPL, especially less than 25K ticket size
• Experience with streaming (Kafka/Kinesis) and orchestration (Airflow or Step Functions)
• Experience with feature stores and risk analytics datasets
• Knowledge of regex, NLP basics for SMS parsing
• Experience supporting real-time decision engines/underwriting systems

Role Summary

This role will be responsible for owning the end-to-end data-structuring layer across the organisation. The individual will transform large volumes of raw, unstructured, and semi-structured data (such as SMS, device, bureau, and app data) into clean, standardised, and analysis-ready datasets. These structured datasets will directly power risk analytics, fraud detection, marketing insights, collections strategy, and policy decisioning.

Key Objective of the Role

Ensure all raw lending data (SMS, Bureau, Device, AA, App logs) is captured, parsed, structured, and stored in a clean analytics-ready format inside databases (PostgreSQL, DynamoDB, AWS stack) so that the Risk and Data Science team can directly use it for feature creation, policy building, and portfolio monitoring.

Core Responsibilities

1. End-to-End Data Ownership

• Design, build, and maintain end-to-end data pipelines (batch + streaming) using AWS native services (Glue, Lambda, Step Functions, Kinesis, S3, Athena, Redshift, EMR/Spark, etc.): ingestion

→ parsing → structuring → storage

• Work closely with Tech, Product, and Data Science to define what data should be captured
• Maintain data documentation, data dictionaries, and schema governance
• Ensure data quality, consistency, and version control

1. Unstructured Data Processing (Highest Priority)

• Parse raw SMS dumps and categorise into salary, EMI, loan apps, collections, credits, debits, OTP, etc.
• Process device fingerprint, behavioural logs, and vendor data (FinBox, AA, Bureau APIs)
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• Convert JSON, logs, and raw API responses into structured feature tables
• Build regex/keyword-based parsers for financial SMS classification

1. Feature Implementation (From Risk & Data Science Team)

• Implement feature creation logic provided by Risk/Data Science team
• Translate business and policy logic into SQL/Python pipelines
• Create reusable feature layers for underwriting, fraud, collections, and monitoring
• Maintain a feature store for consistent model and policy usage

1. Lending Data Understanding (Domain-Specific Requirement)

• Work with Bureau data
• Structure SMS-derived financial variables (income, stress, EMI signals)
• Work with Account Aggregator and bank transaction datasets
• Understand fintech alternate data used in underwriting and fraud detection

1. Data Pipelines & Automation

• Build and maintain ETL/ELT pipelines using Python & SQL
• Create cron jobs for automated data ingestion and feature refresh
• Automate vendor data pulls (Bureau, SMS SDK, AA, device data)
• Ensure low-latency pipelines for real-time underwriting use cases

1. Database Structuring & Storage Architecture

• Structure clean datasets in PostgreSQL (analytics layer)
• Manage raw data storage in DynamoDB / S3 data lake
• Design normalized and denormalised tables for risk analytics
• Optimise database performance for large-scale query workloads

1. Dashboards & Readable Data Layer

• Create analytics-ready datasets, implement & write Metabase queries and convert into dashboards (Metabase / Power BI)
• Enable self-serve data access for Risk, Business, and Founders
• Support ad-hoc analysis requirements from leadership

1. Cross-Functional Collaboration (Very Important)

• The role requires close collaboration with data science, tech, product, and business teams to ensure reliable data pipelines, well-defined schemas, API integrations, logging architecture and high data quality, enabling faster and more accurate decision-making across lending workflows.

Tech Stack (Current Environment)

• AWS Services
• PostgreSQL (Primary analytics DB)
• DynamoDB (Raw/NoSQL storage)
• Python (Pandas, NumPy, ETL frameworks)
• Advanced SQL
• APIs, JSON, and Log Data Handling

We are looking for an AI Engineer (Computer Vision) to design and deploy intelligent video analytics solutions using CCTV feeds. The role focuses on analyzing real-time and recorded video to extract insights such as attention levels, engagement, movement patterns, posture, and overall group behavior. You will work closely with data scientists, backend teams, and product managers to build scalable, privacy-aware AI systems.

Key Responsibilities

• Develop and deploy computer vision models for CCTV-based video analytics
• Analyze gaze, posture, facial expressions, movement, and crowd behavior
• Build real-time and batch video processing pipelines
• Train, fine-tune, and optimize deep learning models for production
• Convert visual signals into actionable insights & dashboards
• Ensure privacy, security, and ethical AI compliance
• Improve model accuracy, latency, and scalability
• Collaborate with engineering teams for end-to-end deployment

Required Skills

• Strong experience in Computer Vision & Deep Learning
• Proficiency in Python
• Hands-on experience with OpenCV, TensorFlow, PyTorch
• Knowledge of CNNs, object detection, tracking, pose estimation
• Experience with video analytics & CCTV data
• Understanding of model optimization and deployment

Good to Have

• Experience with real-time video streaming (RTSP, CCTV feeds)
• Familiarity with edge AI or GPU optimization
• Exposure to education analytics or surveillance systems
• Knowledge of cloud deployment (AWS/GCP/Azure)

About the Role:

We’re looking for a curious and motivated NLP enthusiast to help us build and fine-tune Named Entity Recognition (NER) models tailored to our domain. In addition to NER, you’ll play an important role in developing ontologies that underpin our understanding of entities and relationships—so if you’ve used tools like Protégé or are excited to learn, this is your chance.

Responsibilities:

• Train and fine-tune NER models using frameworks like SpaCy, HuggingFace, or similar
• Preprocess text data and support annotation efforts using tools like Label Studio or Prodigy
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• Evaluating model performance and improving precision/recall
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• Adapting pre-trained models to domain-specific data
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• Develop and maintain domain ontologies using tools like Protégé
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• Refine ontology structure and concept hierarchy
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• Document experiments and share insights with the engineering team
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You Should Have:

• Familiarity with Python and NLP libraries (e.g. NLTK, SpaCy, Transformers)
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• Understanding of key NER concepts and evaluation metrics (precision, recall, F1-score)
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• Exposure to ontology development, semantic relationships, or ontology modeling (via coursework or internship)
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Experience working with text datasets, even academic ones like CoNLL or OntoNotes

Requirements

• 3.5+ years of experience in React JS and Redux
• Expert in React.j, ideally using TypeScript language extensions
• Good understanding of JavaScript Design Patterns
• Good experience writing front-end test cases
• HTML5, CSS3 and Responsive web design are mandatory
• Exposure to Scrum methodology and XP technical practices such as unit testing, pair programming, test-driven development, continuous integration or continuous delivery
• Self-motivated, fast learner, detail-oriented, team player and a sense of humour

Job Responsibilities:

• Contact potential or existing customers to inform them about the Housing Project
  (Contact Numbers will be provided by the company)
• Answer queries about the project and the company
• Find out customer requirements
• Persuade prospects for a site visit
• Enter and update customer information in the database

Requirements:

• Good knowledge of word, excel, and PowerPoint
• Excellent communication skills
• Convincing ability
  
  

• System engineering and implementation in Python and Golang.
• Working on performance issues using creative experiments and internally developed product features.
• Research, propose, and integrate relevant open-source projects based on product objectives.
• Write organized, efficient, and well documented Python/Golang code as an example for junior engineers.
• Participation in all levels of product definition, design, implementation, testing, and deployment.
• Must include the ability to discuss abstract system architectures from ideas through implementation and
• creatively apply domain experience to solve technical challenges.
• Mentoring software engineers, fostering an environment of trust and accountability.

• A strong sense of ownership, urgency, and drive. As an integral part of the development team, you will need the
• following skills to succeed.
• Strong Python skills to develop framework(s).
• Hands-on to design & develop re-usable framework components.
• Hands-On experience on developing framework, designing re-usable framework components.
• Experience in engineering practices such as code refactoring, design patterns, design driven
• development, Continuous Integration, building highly scalable applications, application security and functional programming.

• Knowledge of Cloud native would be an advantage.
• Understanding of Kubernetes from Architecture side and also understand the Standard API.
• Code contributed to CNCF or similar community will be plus.
•  Performance benchmarking of K8’s or any cloud will be added     advantage. 

• Deep understanding of technology and passionate about what you do.
• Background in designing high performant scalable software systems with strong focus to optimize
• hardware cost.
• Solid collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment.
• Strong commitment to get the most performance out of a system being worked on.
• Prior development of a large software project using service-oriented architecture operating with real time constraints.

• You will get a chance to work on cloud-native and hyper-scale products
• You will be working with industry leaders in cloud.
• You can expect a steep learning curve.
• You will get the experience of solving real time problems, eventually you become a problem solver.

• Competitive Salary
• Health Insurance
• Open Learning - 100% Reimbursement for online technical courses.
• Fast Growth - opportunities to grow quickly and surely
• Creative Freedom + Flat hierarchy
• Sponsorship to all those employees who represent company in events and meet ups.
• Flexible working hours
• 5 days week
• Hybrid Working model (Office and WFH)

• Candidates for this position can expect the hiring process as follows (subject to successful clearing of every round)
• Initial Resume screening call with our Recruiting team
• Next, candidates will be invited to solve coding exercises.
• Next, candidates will be invited for first technical interview
• Next, candidates will be invited for final technical interview
• Finally, candidates will be invited for Culture Plus interview with HR
• Candidates may be asked to interview with the Leadership team
• Successful candidates will subsequently be made an offer via email
• As always, the interviews and screening call will be conducted via a mix of telephonic and video call.

Education:
Bachelor’s/ Master’s degree in related field with 2+ years of experience in ERP product sales. .

Skills

• Excellent communication (verbal and written), time management skills, fast learner, self‐ motivated, and comfortable taking initiative and handling multiple projects simultaneously  
• Excellent customer approach, interpersonal and influencing skills
• Proficient and demonstrable experience in prospecting, qualifying, creating value-based demonstrations
• A sales person with a proven, successful background in sales of 2+ years of experience in ERP sales.

• Responsible for New Business Development via prospecting, qualifying, selling and closing software product sales in the Enterprise Division.
• Develop and implement strategy sales in the particular region to maximize growth opportunities, strengthen market share and maximum customer retention.
• Attracting new clients by innovating and overseeing the sales process for the business.
• Responsible for enhancing revenue, within existing and new clients, through continuous client engagement
• Set up meetings with potential clients and listen to their wishes and concerns, Improving sales strategy.
• Research and identify new market opportunities.
• Creates and conducts effective presentation and product demos
• Build & Strengthen market intelligence & sales analytics for identification of opportunities, effective client solutioning and deal conversion.
• Consistently meet and exceed sales targets
• Foster a collaborative environment within the organization.
• Identify trends and customer needs, building a short/medium/long-term sales pipeline in accordance with targets
• Prepare and deliver pitches to potential investors.
• Create and conduct proposal and presentation based on clients’ needs and closing of orders
• Be responsible for conduct webinar about our product.
• Provide timely weekly, monthly and quarterly sales reports
• Client Relationship management

Application Architect Role
Responsible for application design – end to end data flow
Design integration for all end points between 6 solution streams - APPD, SolarWinds, Thousand eyes, Nagios, Grafana &  Moogsoft
Participate and lead integration workshops with OCBC and 6 solution streams
Work with NTT Infra architect & with SME from each stream of the 6 solution streams to understand and compile the integrated data flow
Responsible to create the integrated Low Level Design doc
Good communication skills with English language
Offshore is ok

Kindly let us know if you are able to find an architect to onboard within 1 or 2 weeks.

• Write “clean”, well-designed code
• Produce detailed specifications
• Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
• Contribute in all phases of the development lifecycle
• Follow industry best practices
• Develop and deploy new features to facilitate related procedures and tools if necessary

• Proven software development experience in PHP
• Understanding of open source projects like Joomla, Drupal, Wikis, osCommerce, etc
• Demonstrable knowledge of web technologies including HTML, CSS, Javascript, AJAX etc
• Good knowledge of relational databases, version control tools and of developing web services