Business Developer

Role Name: System Analyst/ Business Analyst

Experience: 6-10 years in the Banking Domain as a Banker / Digital Product management

Salary: up to 25 LPA

Location: Bangalore 

Preferred Skills / Experience

• Banking Domain experience – Retail Banking, Payments

• Business Analysis and Functional consulting

• Writing User Stories

• Agile Methodology

• Knowledge of JIRA, Confluence

• Good Communication skills – written and verbal

• Ability to identify detailed activities, plan them along with the PM

• Co-ordination between different stakeholders

• Be proactive, open and honest in communicating with management

• Ability to communicate effectively with the stakeholders – internal and external

• Ability to interact at various levels within the organization

• Ability to identify and mitigate risks and issues

• Perform User Story reviews of the product

• Contribute and review testing approach and strategy

• Provide functional direction to the team

• Innovate and bring in new and better features in the product

• Escalate to the management in case anything is behind schedule

• Be proactive, foresee risks and issues

1. Handle inbound & outbound leads generated through marketing campaigns and referrals.
2. Conduct project presentations, site visits, and property tours for prospective buyers.
3. Build and maintain strong client relationships through timely follow-ups and personalized communication.
4. Understand client requirements, provide property solutions, and address concerns to ensure smooth decision-making.
5. Collaborate with the marketing team to align sales strategies with campaigns and promotional activities.
6. Negotiate pricing, terms, and close deals in alignment with company policies and project guidelines.
7. Maintain accurate records of inquiries, leads, and conversions using CRM tools and reporting systems.
8. Stay updated on market trends, competitor offerings, and pricing strategies to strengthen sales pitch.
9. Achieve monthly/quarterly sales targets and contribute to overall business growth.

This position has multiple openings and suitable candidate shall be required to join by 1st Sept 2025 or at earliest.

Overview

The Business Development Executive is responsible for identifying and developing new business opportunities, maintaining relationships with potential and existing clients, and driving the sales process from lead generation to closing. This role involves a mix of direct customer interaction, strategic planning, and collaboration with senior sales staff to achieve company growth targets.

Key Responsibilities

Lead Generation & Outreach

·      Contact and develop relationships with potential customers through email marketing, cold calling, and LinkedIn outreach.

·      Execute email campaigns targeting prospects to generate leads and create business opportunities.

·      Mine data and extract information of C-level executives from various online sources and tools.

Sales Process Management

·      Follow up on leads and respond to sales inquiries from existing and potential customers as per guidelines.

·      Assist senior staff in generating and following up on leads.

·      Convince clients, schedule appointments, and manage the sales pipeline.

·      Track sales efforts and monitor results to ensure alignment with targets.

Customer Relationship Management

·      Liaise between customers and the company to provide up-to-date status on service, pricing, and new product releases.

·      Collect customer feedback and conduct market research to inform business strategy and product development.

·      Maintain CRM systems to manage lead generation, track interactions, and store customer information.

Market & Competitor Analysis

·      Stay informed about the latest products, market trends, and competitors to provide insights for business strategy.

·      Increase business opportunities through various routes to market.

Required Skills & Qualifications

·      Strong communication and interpersonal skills.

·      Proficient in email marketing, cold calling, and LinkedIn outreach.

·      Experience in data mining and CRM systems.

·      Ability to prepare detailed reports and commercial proposals.

·      Strong analytical and organizational skills.

·      Ability to work independently and as part of a team.

·      Understanding of market research and customer feedback processes.

Performance Metrics

·      Number of new leads generated.

·      Conversion rate of leads to appointments and sales.

·      Quality and timeliness of proposals and reports.

·      Customer satisfaction and feedback.

·      Sales targets and revenue growth.

• You will be participating in feature solutioning discussions and finalizing an approach aligned with requirements.
• Preparing HLD and LLD. Making reviews of design documents
• Exploring technology and hacking way through the specific problem to accomplish desired results.
• Owning a module and delivering it end to end.
• Working in a team and at times showing leadership by taking initiatives and guiding other
• You should have evaluated new technologies and introduced relevant as and when required.
• You should have built multiple systems ground up and maintained them working.
• You should have exposed to debugging client-side production setup under crisis.

We are seeking a highly skilled and motivated Data Scientist to join our team. You will be responsible for extracting insights from complex data sets, developing predictive models, and communicating findings to drive data-informed decision-making within the organization. The ideal candidate will have a strong background in statistics, machine learning, and data visualization, as well as excellent problem-solving and communication skills.

Responsibilities:

• Data Collection and Cleaning: Gather, clean, and preprocess data from various sources, ensuring data quality and integrity.
• Exploratory Data Analysis (EDA): Conduct EDA to understand data distributions, identify patterns, and uncover insights.
• Feature Engineering: Select, transform, and create relevant features to improve model performance.
• Model Development: Develop and implement machine learning models for prediction, classification, and other analytical tasks.
• Model Evaluation and Selection: Evaluate model performance using appropriate metrics and select the best model based on business requirements.
• Model Deployment and Monitoring: Deploy models into production and monitor their performance over time.

Be a part of the growth story of a rapidly growing organization in AI. We are seeking a passionate Machine Learning (ML) Engineer, with a strong background in developing and deploying state-of-the-art models on Cloud. You will participate in the complete cycle of building machine learning models from conceptualization of ideas, data preparation, feature selection, training, evaluation, and productionization.

On a typical day, you might build data pipelines, develop a new machine learning algorithm, train a new model or deploy the trained model on the cloud. You will have a high degree of autonomy, ownership, and influence over your work, machine learning organizations' evolution, and the direction of the company.

• Bachelor's degree in computer science/electrical engineering or equivalent practical experience
• 7+ years of Industry experience in Data Science, ML/AI projects. Experience in productionizing machine learning in the industry setting
• Strong grasp of statistical machine learning, linear algebra, deep learning, and computer vision
• 3+ years experience with one or more general-purpose programming languages including but not limited to: R, Python.
• Experience with PyTorch or TensorFlow or other ML Frameworks.
• Experience in using Cloud services such as AWS, GCP, Azure. Understand the principles of developing cloud-native application development

• Design and implement ML components, systems and tools to automate and enable our various AI industry solutions
• Apply research methodologies to identify the machine learning models to solve a business problem and deploy the model at scale.
• Own the ML pipeline from data collection, through the prototype development to production.
• Develop high-performance, scalable, and maintainable inference services that communicate with the rest of our tech stack