Business Development Manager

Are you a crypto trader who loves being on camera—or behind it? Do you have a knack for turning complex trading concepts into engaging, high-impact video content?

At Zest Network LLP, we’re building a content hub for crypto trading education—and we’re looking for a Video Content Creator who can inform, entertain, and grow with our global audience of native English speakers. If you live and breathe crypto and can confidently create YouTube-style videos that simplify trading for beginners and intermediate users, this might be the perfect role for you.

Key Responsibilities

1. Create Engaging Video Content - Research, script, film, and edit informative videos covering crypto trading strategies, indicators, platform reviews, and market insights.
2. Educate with Clarity- Break down complex trading concepts into easy-to-understand, engaging content for beginner to mid-level traders.
3. Review Crypto Platforms - Regularly analyze and explain the features, pros, and cons of various crypto trading exchanges and tools.
4. Stay Market-Savvy - Keep up with news, trends, and innovations in the crypto space to ensure your content remains timely and relevant.
5. Collaborate Across Teams - Coordinate with the content and marketing team to ensure your video content aligns with brand tone and strategy.
6. Foster Community Engagement - Respond to viewer comments, feedback, and questions to help build a loyal, learning-focused community.

Requirements

• Crypto Trading Experience: Minimum 1 year of hands-on experience with crypto trading.
• Video Creation Skills: Experience scripting, recording, and editing high-quality video content using tools like Adobe Premiere Pro, Final Cut Pro, or similar.
• Fluent English Speaking Skills: You must be comfortable presenting on camera with clear, fluent, and engaging English suitable for a native-speaking audience.
• Creative Thinking: Ability to turn technical or financial topics into fun, visual stories that resonate with a broad audience.
• Tech Setup Knowledge: Comfortable with basic camera/audio setups and editing workflows.
• Platform Know-How: Familiarity with YouTube content creation, optimization, and audience engagement best practices.
• Portfolio Preferred: Previous experience creating trading or finance-related video content is a strong plus.

Hustlers and fast learners with a creative mindset are welcome to apply—even if you're newer to the space but confident you can deliver.

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

About the role(s):

Software development and platform engineering has driven our success and growth of our platform & data businesses. We are now looking for more developers to join our team and help us build the best financial inclusion platform in the world. You'll be an integral part of product development team working collaboratively with cross functional team of business heads, product managers, credit risk experts, data scientists and technologists to iteratively design and build fintech products. You'll be constantly be challenged and you'll have the freedom to discover and advocate new technologies. 

Requirements:

We are looking for people who are truly full stack, and are as comfortable working on javascript front end as they are debugging database interactions, or improving their CloudFormation templates. While we are open to any degree and colleges, we are look for people who prides in being a coder and have demonstrable (3+ years) experience in software development. In particular we look for people who can:

• Code backend services, ideally using Node.js or Java, or other server side compiled language.
• Design and develop Rest API with integrations to lots of external systems. Experience of GraphQL is an advantage
• Develop modern and secure web front ends, ideally using React, Express and Redux.
• Interface with No-SQL/ MongoDB or SQL based data bases (PortgresSQL).
• Deploy their code into the cloud and support it there, ideally on AWS and GitHub. Experience with kubernetes and serverless is an advantage.
• Deliver in agile manner while coding cleanly, automating testing and clean coding, simple solutions, automated testing and continuous deployment.
• Takes ownership of a feature from the original idea through to live.

Attractive salary compensation including employee stock options, 10% time free to pursue own project, paid training and education support.

We truly practice flexible time with focus on output and core hours for team collaboration. While we are mostly working remotely at Fundfina and are open to applications across India, we will prefer that you are open to commuting to Mumbai or Bangalore or Delhi offices when required.

By submitting your application, you agree that Fundfina may collect your personal data for recruitment purposes. 

                                                       JD – Engineering Manager Role

Responsibilities:

• Designed, developed and deployed cloud-native applications (we use AWS)
• Working on or leading enterprise tech products and worked with enterprise customers
• Mentor & grow / Hire Engineering Managers to lead up these individual units.
• Work closely with Product Management, Business Development and Operations team and enable them by providing scalable and high quality technology solutions at a rapid pace.
• Set up the organisation & processes to enable timely delivery of projects with high quality.
• Set up best practices for development and champion their adoption.
• Well versed in Software Architecture and Design - You should be able to spot flaws in the existing architecture and design. You would help us refactor and re-architecture the code for easier and faster development.
• Oversee Architecture & design of technically robust, flexible and scalable solutions.
• Perform well in uncertainties and collaborate and work with unclear interfaces to other teams in our rapidly evolving organisations.
• Create clear career paths for team members and help them grow with regular & deep mentoring.
• Identify, define, and coordinate the training needs of the team.
• Perform regular performance evaluation and share and seek feedback on a regular basis
• Building and maintaining data capabilities at KredX while taking care of scaling, privacy and processing aspects.
• Ability to work with external partners and vendors to integrate with KredX product
• Write blogs and other technical papers to share the lessons with community both inside and outside the company and or participates in technical events to get new knowledge to the organisation while improving brand of engineering team at KredX
• Appropriately escalate any issues/concerns that require immediate attention from other affected parties
• Always be thinking about the engineering systems and business from different angles - fraud, downtimes, scale, business direction and more

Requirements:

• Experience in working with large scale unstructured data, and data science
• Deep Understanding of enterprise grade technologies.
• Deep understanding & expertise with highly transactional, large relational and complex systems.
• Strong leadership skills.
• Possess superb troubleshooting and problem analysis skills.
• Knowledgeable about new engineering paradigms and developments in software engineering