Marketing Manager

About the Company:-

Our Client is a leading mid‐market investment bank with strong practices around M&A, PE, Capital Markets, Institutional Equities, Wealth Management, Insurance Broking, and Portfolio Management Services.

Job description:-

• General Insurance Domain Knowledge

• Increase reach and market share by adding new clients in the desired segment to the Organization’s Portfolio

• Achieve financial targets articulated in the strategic plans of the Organization in terms of the brokerage earned through

✓ Conversion of new clients

✓ Retention of existing clients

✓ Support of specialist vertical budgets

• Create potential databases from insurers and other sources

• Insurance Data Management

• GAP Analysis / Tender Bidding

• Client Management & Visits on a periodical basis

• Market Research on Large Accounts and Strategy Planning

• Updating self on Product Knowledge to ensure the right offerings to the Client

Location:- Mumbai

Qualification:-

• Graduation / MBA / Post-Graduation

• Insurance-related qualifications would be added advantage

Prior Experience: 6 - 10 years of experience in Corporate Sales

Technical Skills:

• Ability to handle diverse types of Clients / Large Corporates within India

Technical Analyst

Find the JD of Technical Analyst - Stock Market

Min Exp: 2 Years

Shift; 8 Am to 5 PM (Monday to Saturday)

Location- Delhi

Requirement:

1-Trading experience has to be in stocks and indices (NIFTY and BANK NIFTY)- cash segment and FNO on the National Stock Exchange.

2-Experience not less than 5-6 years hard core from day 1 in technical and options trading.

3-Education not less than Graduation in finance field- BBA/MBA.

4-Should know the NSE stock/INDEX.

5-Should know the Options and Derivatives market concept.

6-Should know the charting /Indicator/RSI/Bollinger Band & others of the stock market.

Interpret data, analyze results using statistical techniques and provide ongoing reports

Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

Acquire data from primary or secondary data sources and maintain databases/data systems

Identify, analyze, and interpret trends or patterns in complex data sets

Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

Work with management to prioritize business and information needs

Locate and define new process improvement opportunities

Profile Description:

The job holder will manage the day-to-day planning and operations of your team. This includes making sure that each of your Teammates delivers on their Service Level Agreement (SLA) and achieves their Key Performance Indicators (KPIs). As a Team Leader, you are in charge of managing the team and making sure everyone adheres to their schedules. You must be organized and be able to handle responsibility.

Key Responsibilities:

Project / Process:

1. Drive team to achieve process SLAs / metrics – productivity and quality targets within the established timelines.
2. Ensure individual SLAs are met on processing transactions (if applicable).
3. Ensure process guidelines are followed and met as documented.
4. Review process audit findings and take corrective action to prevent negative results.
5. Conduct Quality checks & periodical review of process adherence.
6. Maintain operations rigor around daily huddles, knowledge management Cross training etc.
7. Provide updates and submit reports related to own area of work.

Team Managements:

1. Provide work direction and guidance to team members:
2. ensure accuracy of the work of team members, their ability to operate under deadlines and to work on multiple tasks
3. Allocate work and tasks to the team.
4. Conduct team building activities to enhance motivation.
5. Conduct knowledge transfer sessions for new joiners in the team.
6. Identify training needs of team members and provide coaching support to them.
7. Report to the manager on performance, status and any escalations.
8. Manage attrition and absenteeism.
9. Developing and implementing a timeline to achieve targets.
10. Contributing to the growth of the company through a successful team.
11. Creating a pleasant working environment that inspires the team.

Blue9 Technologies looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment.

As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.

If you’re also familiar with Agile methodologies, we’d like to meet you.

Responsibilities

1. Work with development teams and product managers to ideate software solutions
2. Design client-side and server-side architecture
3. Build the front-end of applications through appealing visual design
4. Develop and manage well-functioning databases and applications
5. Write effective APIs
6. Test software to ensure responsiveness and efficiency
7. Troubleshoot, debug and upgrade software
8. Create security and data protection settings
9. Build features and applications with a mobile responsive design
10. Write technical documentation
11. Work with data scientists and analysts to improve software

Requirements

1. Proven experience as a Full Stack Developer or similar role
2. Experience developing desktop and mobile applications
3. Familiarity with common stacks (.net & PHP)
4. Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
5. Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
6. Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache), and UI/UX design
7. Excellent communication and teamwork skills
8. Great attention to detail
9. Organizational skills
10. An analytical mind

• Developing telemetry software to connect Junos devices to the cloud
• Fast prototyping and laying the SW foundation for product solutions
• Moving prototype solutions to a production cloud multitenant SaaS solution
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Build analytics tools that utilize the data pipeline to provide significant insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics specialists to strive for greater functionality in our data systems.

Qualification and Desired Experiences

• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• 5+ years experiences building data pipelines for data science-driven solutions
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Good team worker with excellent interpersonal skills written, verbal and presentation
• Create and maintain optimal data pipeline architecture,
• Assemble large, sophisticated data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search
• Previous work in a start-up environment
• 3+ years experiences building data pipelines for data science-driven solutions
• Master in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
• We are looking for a candidate with 9+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning model
• Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Proven understanding of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and interpersonal skills.
• Experience supporting and working with multi-functional teams in a multidimensional environment.