web3 Social Media Manager

Job Summary:

The Head of Operation and Cross-Sell will be responsible for streamlining sales processes, managing client onboarding, ensuring compliance, handling financial reconciliations, deepening client relationships and supporting the sales team with strategy and execution. This role will bridge the gap between sales, operations, and marketing to drive efficiency and revenue growth.

Key Responsibilities:

1. Business & Sales Support:

·      Manage existing clients and onboard new clients.

·      Develop and execute client plans, including:

o  Financial plans

o  Investment strategies

o  Customized acquisition strategies

·      Support business expansion by identifying key partnerships and growth opportunities.

2. Sales Operations & Compliance:

·      Oversee sales workflows and processes for seamless execution.

·      Ensure compliance with regulatory requirements (AMFI, IRDAI, Licenses, KRA, etc.).

·      Support documentation and approvals for financial products and services.

3. Financial & Account Management:

·      Handle revenue tracking, invoicing, and collections.

·      Manage cash flow projections and reconciliations.

·      Follow up on pending payments and ensure financial compliance.

4. Partnerships & B2B Collaboration:

·      Identify and manage new tie-ups with partners.

·      Strengthen relationships with existing stakeholders.

·      Oversee documentation, agreements, and compliance for partnerships.

·      Develop B2B opportunities, including corporate tie-ups and financial wellness programs.

5. Deepening of Client Relationship

·      Interact with the existing clients to identify their investment mindset and offer customised solutions 

·      Strengthen relationships with existing clients

·      Cross-sell and up-sell investment products to the existing clients by understanding and identifying their needs

·      Responsible for the robust growth of AUM and Revenue from the existing client portfolio

6. Strategic Planning & Marketing Support:

·      Assist in the development of new products and services.

·      Support corporate strategy and marketing initiatives.

·      Collaborate with the marketing team on lead generation, branding, and sales campaigns.

Key Skills & Qualifications:

·      Master’s degree in Business, Finance, Marketing, or related field.

·      10-12 years of experience in sales operations, financial planning, or business development in the Mutual Fund / Wealth Management / Insurance industry

·      Strong analytical skills and ability to interpret financial data.

·      Experience in managing partnerships and compliance documentation.

·      Proficiency in CRM tools and sales analytics software.

·      Excellent communication, negotiation, and leadership skills.

Why Join Us?

·      Be part of a fast-growing, dynamic company with a collaborative work culture.

·      Exposure to strategic business development and sales operations.

·      Work with a collaborative team that values innovation and efficiency.

·      Opportunity to lead a critical function and shape the future of our sales operations.

·      Exposure to cutting-edge sales technology and processes.

If you are a strategic thinker with a passion for sales operations and a proven track record of success, we invite you to apply and be part of our team!

About Company:

The Organisation transform individuals and teams through holistic, heart-centric and engaging learning experiences that unleash their true potential and help organizations achieve business outcomes. We create customized, strong impact training programs that are conceptualized, designed and delivered by a core team of senior professionals.

Role & Responsibilities:

     ​

1.   Looking for someone who can think creatively about packaging marketing messages and is passionate about the brand. Experience in a marketing, communications or internal communications role with a marketing mindset is expected. The candidate will handle our communication portfolio, hence good problem solving, writing, administrative and PR skills are a must.
2.  Experienced into Lead Generation, Marketing, Advertising, Social Media Marketing, Digital Advertising, Database Generation,B2B Sales.
3. Plan, organize, and implement market survey to obtain data that provides insight to market trends and consumer requirements
4. Interpret data obtained from market research/survey to produce results useful in taking effective business decisions
5. Carry out demographic surveys to identify potential customers
6. Contact potential customers through emails, calls, and home visits to create product/service awareness
7. Employ knowledge of company goals in carrying out marketing operations
8. Establish good working relationships and rapport with clients to ensure continued patronage and minimal consumer attrition
9. Support marketing managers in the development of pricing strategies to set suitable prices for products.

Requirements

1.       Excellent written and oral communication skills and detail-oriented

2.       Very good planning & project management skills

3.       Experience in creating digital ads, video, and static across social media platforms such as LinkedIn, Facebook, YouTube, WhatsApp, e-mail, and display

4.       Capable of managing a team & work independently with external vendors

RESPONSIBILITIES:

 Requirement understanding and elicitation, analyze, data/workflows, contribute to product

project and Proof of concept (POC)

 Contribute to prepare design documents and effort estimations.

 Develop AI/ML Models using best in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and clearly documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

REQUIREMENTS:

Required Skills

 Overall experience of 4 to 7 Years working on AI/ML framework development

 Good programming knowledge in Python is must.

 Good Knowledge of R and SAS is desired.

 Good hands on and working knowledge SQL, Data Model, CRISP-DM.

 Proficiency with Uni/multivariate statistics, algorithm design, and predictive AI/ML modelling.

 Strong knowledge of machine learning algorithms, linear regression, logistic regression, KNN,

Random Forest, Support Vector Machines and Natural Language Processing.

 Experience with NLP and deep neural networks using synthetic and artificial data.

 Involved in different phases of SDLC and have good working exposure on different SLDC’s like

Agile Methodologies.

      Experience in C#, OOps, Javascript, HTML

·       Should have delivered successful end-to-end development to deployment experience on Web applications and Api’sin last 1-5 years

·         Experience in SQL is a must

·         Should have 1-5 years experience in backend development

·         Experience in service-based development using technologies such as Web API and RESTful services. 

·         Proficient in writing clean, well-structured code with proper abstraction and reusability.

.         Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements.

Job Title: Power BI Developer(Onsite)

Location: Park Centra, Sec 30, Gurgaon

CTC:        8 LPA

Time:       1:00 PM - 10:00 PM

Must Have Skills: 

• Power BI Desktop Software
• Dax Queries
• Data modeling
• Row-level security
• Visualizations
• Data Transformations and filtering
• SSAS and SQL

Job description:

We are looking for a PBI Analytics Lead responsible for efficient Data Visualization/ DAX Queries and Data Modeling. The candidate will work on creating complex Power BI reports. He will be involved in creating complex M, Dax Queries and working on data modeling, Row-level security, Visualizations, Data Transformations, and filtering. He will be closely working with the client team to provide solutions and suggestions on Power BI.

Roles and Responsibilities:

• Accurate, intuitive, and aesthetic Visual Display of Quantitative Information: We generate data, information, and insights through our business, product, brand, research, and talent teams. You would assist in transforming this data into visualizations that represent easy-to-consume visual summaries, dashboards and storyboards. Every graph tells a story.
• Understanding Data: You would be performing and documenting data analysis, data validation, and data mapping/design. You would be mining large datasets to determine its characteristics and select appropriate visualizations.
• Project Owner: You would develop, maintain, and manage advanced reporting, analytics, dashboards and other BI solutions, and would be continuously reviewing and improving existing systems and collaborating with teams to integrate new systems. You would also contribute to the overall data analytics strategy by knowledge sharing and mentoring end users.
• Perform ongoing maintenance & production of Management dashboards, data flows, and automated reporting.
• Manage upstream and downstream impact of all changes on automated reporting/dashboards
• Independently apply problem-solving ability to identify meaningful insights to business
• Identify automation opportunities and work with a wide range of stakeholders to implement the same.
• The ability and self-confidence to work independently and increase the scope of the service line

Requirements: 

• 3+ years of work experience as an Analytics Lead / Senior Analyst / Sr. PBI Developer.
• Sound understanding and knowledge of PBI Visualization and Data Modeling with DAX queries
• Experience in leading and mentoring a small team.

What you will be doing:

As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -

• Dive into the data and identify patterns
• Development of end-to-end Credit models and credit policy for our existing credit products
• Leverage alternate data to develop best-in-class underwriting models
• Working on Big Data to develop risk analytical solutions
• Development of Fraud models and fraud rule engine
• Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
• Working on cutting-edge techniques e.g. machine learning and deep learning models

Example of projects done in past:

• Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
• Fraud model development, deployment and rules for EMEA region

Basic Requirements:

• 1-3 years of work experience as a Data scientist (in Credit domain)
• 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
• Strong problem solving and understand and execute complex analysis
• Experience in at least one of the languages - R/Python/SAS and SQL
• Experience in in Credit industry (Fintech/bank)
• Familiarity with the best practices of Data Science

Add-on Skills : 

• Experience in working with big data
• Solid coding practices
• Passion for building new tools/algorithms
• Experience in developing Machine Learning models