Field Operation Executive

Relationship Manager- Broking

Key Responsibilities:

·         Build and maintain strong relationships with Authorized Partners (APs).

·         Drive business growth and enhance partner revenue.

·         Provide training, mentoring, and activation support for business partners.

·         Ensure compliance with regulatory and procedural standards.

·         Promote stock broking products such as Smallcase, Stock SIP, MTF, Investments & Trading.

·         Engage, motivate, and develop business partnerships.

·         Deliver service excellence and meet key business KPIs.

Requirements:

·         Minimum 1 year of experience in broking/financial markets.

·         Strong communication & relationship management skills.

·         Good knowledge of financial markets & trading.

·         Comfortable working in a target-driven environment.

Job Description

We are seeking an experienced Trainer and Upskilling Lead to drive the design, development, and execution of both training and upskilling

programs across the organization. This executive role is responsible for conceptualizing training solutions, creating upskilling frameworks, mentoring trainers, and ensuring continuous development and alignment of these initiatives with organizational goals. The ideal candidate will have a proven track record in managing training and upskilling programs while collaborating with various teams to address technical needs.

Key Responsibilities:

1. Training and Upskilling Program Development and Planning

• Conceptualize and design both technical training and upskilling programs tailored to organizational objectives and individual employee growth
• Create frameworks that cater to both freshers and experienced professionals, ensuring knowledge transfer and skill enhancement across different technical domains
• Continuously update training and upskilling frameworks based on project needs, feedback from stakeholders, and evolving industry trends

2. Execution of Training and Upskilling Programs:

•  Oversee the execution of hands-on training sessions and upskilling initiatives, ensuring active engagement and effective learning
•  Lead or co-facilitate high-level training sessions and workshops to ensure quality and relevance
•  Implement customized upskilling paths for employees based on their current roles, growth trajectories, and future organizational needs

3. Trainer Development and Mentorship:

•  Mentor and guide a team of trainers, helping them to develop advanced skills in both training delivery and upskilling facilitation
•  Ensure junior trainers and lower-level facilitators are continuously developed and capable of executing training sessions effectively
•  Promote the continuous improvement of trainers by encouraging participation in professional development and certification programs

4. Performance Monitoring and Continuous Improvement:

•  Evaluate the success of both training and upskilling programs using participant feedback, post-training assessments, and predefined KPIs
•  Track the progress of participants in both training and upskilling initiatives, ensuring learning objectives are met and that employees are positioned for career growth
•  Regularly report on training and upskilling outcomes, including metrics related to trainer performance and employee development, providing  insights and improvement suggestions to senior management

5. Collaboration and Stakeholder Management:

•  Collaborate with department heads and project teams to identify training and upskilling needs, ensuring alignment with organizational goals   and project requirements
•  Engage stakeholders across the organization to align expectations for both training outcomes and upskilling pathways
•  Promote cross-departmental collaboration to create integrated training and upskilling solutions that benefit multiple areas of the organization

6. Innovation and Technology Integration:

•  Introduce innovative training and upskilling methodologies, such as e-learning, blended learning, gamification, and personalized learning paths
•  Stay updated with emerging technologies in education and training, ensuring the adoption of the latest tools and techniques to enhance both  training and upskilling programs

Requirements

• Bachelor or Master’s Degree in Computer Science or Mechanical Engineering
• A minimum of 3 years of teaching experience (preferred but not mandatory)
• Professors in colleges, trainers in private training institutions can apply
• People with good experience in programming and a passion for teaching can apply
• Good command on various teaching methods (preferred but not mandatory)
• Excellent in communication
• Good in planning, scheduling and execution of various training courses.

Nice to have:

• Knowledge of computer graphics, computer aided design (CAD) 
• Knowledge of Computational Technologies
• Good understanding of mathematics and geometry

Benefits

• Opportunity to work with a dynamic and innovative IT organization
• Collaborative and supportive work environment​
• Professional growth and development opportunities

Required Skills:

• 2+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

1. Sr. Data Engineer:

 Core Skills – Data Engineering, Big Data, Pyspark, Spark SQL and Python

Candidate with prior Palantir Cloud Foundry OR Clinical Trial Data Model background is preferred

Major accountabilities:

• Responsible for Data Engineering, Foundry Data Pipeline Creation, Foundry Analysis & Reporting, Slate Application development, re-usable code development & management and Integrating Internal or External System with Foundry for data ingestion with high quality.
• Have good understanding on Foundry Platform landscape and it’s capabilities
• Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Defines company data assets (data models), Pyspark, spark SQL, jobs to populate data models.
• Designs data integrations and data quality framework.
• Design & Implement integration with Internal, External Systems, F1 AWS platform using Foundry Data Connector or Magritte Agent
• Collaboration with data scientists, data analyst and technology teams to document and leverage their understanding of the Foundry integration with different data sources - Actively participate in agile work practices
• Coordinating with Quality Engineer to ensure the all quality controls, naming convention & best practices have been followed

Desired Candidate Profile :

• Strong data engineering background
• Experience with Clinical Data Model is preferred
• Experience in
• SQL Server ,Postgres, Cassandra, Hadoop, and Spark for distributed data storage and parallel computing
• Java and Groovy for our back-end applications and data integration tools
• Python for data processing and analysis
• Cloud infrastructure based on AWS EC2 and S3
• 7+ years IT experience, 2+ years’ experience in Palantir Foundry Platform, 4+ years’ experience in Big Data platform
• 5+ years of Python and Pyspark development experience
• Strong troubleshooting and problem solving skills
• BTech or master's degree in computer science or a related technical field
• Experience designing, building, and maintaining big data pipelines systems
• Hands-on experience on Palantir Foundry Platform and Foundry custom Apps development
• Able to design and implement data integration between Palantir Foundry and external Apps based on Foundry data connector framework
• Hands-on in programming languages primarily Python, R, Java, Unix shell scripts
• Hand-on experience in AWS / Azure cloud platform and stack
• Strong in API based architecture and concept, able to do quick PoC using API integration and development
• Knowledge of machine learning and AI
• Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.

 Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision