QA Automation Engineer

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Digital Marketing Manager (Trading Domain)

About Us

Tradelab Technologies is a leading FinTech and capital markets technology company, headquartered in India, which develops high-performance software solutions for stock brokers, trading platforms, and financial institutions. Founded in July 2012 and incubated by a special R&D cell at IIT Kharagpur, we are at the forefront of building the next generation of trading technology. Our product portfolio includes advanced trading terminals, order-management systems (OMS), risk-management systems (RMS), low-latency exchange platforms, multi-crypto wallet solutions, and KYC/Compliance systems. We are defined by our commitment to "low latency," "high performance," and "real-time" systems that power the industry.

Role

We are seeking a strategic and results-driven Digital Marketing Manager to lead our B2B marketing initiatives in the competitive FinTech and capital markets technology landscape. You will be responsible for developing and executing comprehensive digital

marketing strategies that drive brand awareness, lead generation, and customer engagement across institutional and enterprise client segments.

Key Responsibilities

● Develop and execute multi-channel digital marketing strategies targeting B2B audiences in the FinTech and capital markets ecosystem

● Manage end-to-end campaign planning, execution, and optimization across SEO, SEM, content marketing, email marketing, and social media platforms

● Create and oversee thought leadership content including whitepapers, case studies, and technical blogs that resonate with brokers, trading firms, and financial institutions

● Drive lead generation initiatives and optimize conversion funnels to support business development goals

● Manage marketing analytics and reporting, providing actionable insights to improve campaign performance and ROI

● Collaborate with product and sales teams to develop compelling product positioning and go-to-market strategies

● Oversee website management, ensuring optimal user experience and technical SEO performance

● Build and manage relationships with digital agencies, technology vendors, and industry partners

● Monitor industry trends, competitor activities, and emerging marketing technologies to maintain competitive advantage

Skills & Experience

● 5-6 years of proven experience in digital marketing, preferably in B2B technology or SaaS environments

● Prior experience in the FinTech or Capital Markets industry is mandatory

● Demonstrated expertise in SEO/SEM, content marketing, marketing automation, and performance analytics

● Strong understanding of B2B buyer journeys and enterprise sales cycles

● Proficiency with marketing tools such as Google Analytics, Google Ads, HubSpot, SEMrush, or similar platforms

● Excellent written and verbal communication skills with the ability to articulate complex technical concepts

● Data-driven mindset with strong analytical and problem-solving abilities

● Experience managing marketing budgets and optimizing spend across channels

● Bachelor's degree in Marketing, Business, or related field; MBA is a plus

Why Join Us?

Join a pioneering technology company that is revolutionizing the capital markets infrastructure.

At Tradelab, you'll have the opportunity to work on cutting-edge, high-performance trading technology that powers some of the most demanding real-time systems in the financial industry.Born from IIT Kharagpur's innovation ecosystem and backed by over a decade of domain expertise, we offer an environment where your contributions directly impact the future of trading technology. Be part of a high-growth FinTech journey where innovation meets execution.

Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. 

They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar etc.

• Designing DevOps strategies: Recommending strategies for migrating and consolidating DevOps tools, designing an Agile work management approach, and creating a secure development process
• Implementing DevOps development processes: Designing version control strategies, integrating source control, and managing build infrastructure
• Managing application configuration and secrets: Ensuring system and infrastructure availability, stability, scalability, and performance
• Automating processes: Overseeing code releases and deployments with an emphasis on continuous integration and delivery
• Collaborating with teams: Working with architect and developers to ensure smooth code integration and collaborating with development and operations teams to define pipelines.
• Documentation: Producing detailed Development Architecture design, setting up the DevOps tools and working together with the CI/CD specialist in integrating the automated CI and CD pipelines with those tools
• Ensuring security and compliance/DevSecOps: Managing code quality and security policies
• Troubleshooting issues: Investigating issues and responding to customer queries
• Core Skills: Azure DevOps engineer should have a deep understanding of container principles and hands-on experience with Docker. They should also be able to set-up and manage clusters using Azure Kubernetes Service (AKS). Additionally, understanding of API management, Azure Key-Vaults, ACR, networking concepts like virtual networks, subnets, NSG, route tables. Awareness of any one of the software like Apigee, Kong, or APIM in Azure is a must. Strong experience with IaC technologies like Terraform, ARM/ Bicep Templates, GitHub Pipelines, Sonar,
• Additional Skills: Self-starter and ability to execute tasks on time, Excellent communication skills, ability to come up with multiple solutions for problems, interact with client-side experts to resolve issues by providing correct pointers, excellent debugging skills, ability to breakdown tasks into smaller steps.

In this role, you will: 

As part of a team focused on the preserving the customer experience across the organization, this Analytic Consultant will be responsible for: 

• Understand business objectives and provide credible challenge to analysis requirements. 
• Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases. 
• Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve analysis accuracy. 
• Applying critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality analysis results. 
• Ensure adherence to data management/ data governance regulations and policies. 
• Performing and testing highly complex data analytics for customer remediation. 
• Designing analysis projects flow and documentation that is structured for consistency, easy to understand, and to be offered to multiple levels of reviewers, partners, and regulatory agents demonstrating research and analysis completed. 
• Investigate and ensure data integrity from multiple sources. 
• Ensure data recommended and used is the best “source of truth”. 
• Applies knowledge of business, customers, and products to synthesize data to 'form a story' and align information to contrast/compare to industry perspective. Data involved typically very large, structured or unstructured, and from multiple sources. 
• Must have a strong attention to detail and be able to meet high quality standards consistently. 
• Other duties as assigned by manager. 
• Willing to assist on high priority work outside of regular business hours or weekend as needed. 

Essential Qualifications:  

• Around 5+ years in similar analytics roles 
• Bachelors, M.A./M.Sc. College Degree or Higher in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis. 
• Preferred programming knowledge SQL/SAS  
• Knowledge of PVSI, Non-Lending, Student Loans, Small Business and Personal Lines and Loans is a plus. 
• Strong experience with data integration, database structures and data warehouses. 
• Persuasive written and verbal communication skills. 

Desired Qualifications: 

• Certifications in Data Science, or BI Reporting tools. 
• Ability to prioritize work, meet deadlines, achieve goals and work under pressure in a dynamic and complex environment – Soft Skills. 
• Detail oriented, results driven, and has the ability to navigate in a quickly changing and high demand environment while balancing multiple priorities. 
• Ability to research and report on a variety of issues using problem solving skills. 
• Ability to act with integrity and a high level of professionalism with all levels of team members and management. 
• Ability to make timely and independent judgment decisions while working in a fast-paced and results-driven environment. 
• Ability to learn the business aspects quickly, multitask and prioritize between projects. 
• Exhibits appropriate sense of urgency in managing responsibilities. 
• Ability to accurately process high volumes of work within established deadlines. 
• Available to flex schedule periodically based on business need. 
• Demonstrate strong negotiation, communication & presentation skills. 
• Demonstrates a high degree of reliability, integrity and trustworthiness. 
• Takes ownership of assignments and helps drive assignments of the team. 
• Dedicated, enthusiastic, driven and performance-oriented; possesses a strong work ethic and good team player. 
• Be proactive and get engaged in organizational initiatives.

Primary Responsibilities:

• Principal Engineers  are responsible for driving Technology and Engineering Best Practices in their respective teams.
• They should demonstrate a high level of ownership and accountability for their product and software systems.
• They are expected to go above and beyond their role by contributing in tools, processes and practices which bring operational efficiency and are aligned with business goals.
• They are expected to actively participate in development along with team members and create systems and modules which represent a working model of engineering best practices.
• They are expected to participate in code reviews, design reviews, architecture discussions.
• They are responsible for the Engineering metrics/health of their systems including strong alerting and monitoring mechanisms.
• They are expected to lead the adoption of best practices around coding, designing, performance of systems in a team.

Experience or Skills Required:

• B.Tech or Advanced degree in Computer Science with 6-12 years of industry experience in product based companies.
• Proficiency with Basic libraries for machine learning such as scikit-learn and pandas
• Experience in building solutions based on Linear Regression, Logistic Regression, K Nearest neighbor, SVM, Random Forest, Decision Trees.
• Strong experience with at least one of programming languages: Python, Java, Vertx, Golang
• Strong experience in building Server side reusable components based on Microservices or Distributed Architecture.
• Solid coding skills with ability to lead teams in identifying clearing tech debts for large scale code base.
• Good understanding & experience in improving performance of scalable and real time responsive applications.
• Excellent Problem Solving skills and an aptitude to approach problems from first principles and build solutions for those.
• Must have excellent communication (verbal & written), interpersonal, leadership, and problem solving skills.
• Must be able to work independently and enjoy working at a fast paced start-up environment
• Excellent Mentoring skills. Be the technical mentor to your team.
• Must be comfortable working in fuzzy environments where boundaries are not clearly defined.

Job Description:

1. Developing the latest user-facing features using React.js.
2. Translate designs and wireframes into high-quality and responsive screens.
3. Building reusable components and front-end libraries for future use.
4. Learn and understand user interactions & Translate designs and wireframes
into high-quality code.
5. Optimizing components for maximum performance across a vast array of web-capable devices and browsers.
6. Creating servers and databases for functionality and coordinating with various
teams working on distinct layers.
7. As a MERN Stack Developer, you will be involved from conception to
completion with projects that are technologically sound and aesthetically
impressive.

Skill Requirements:

1. Full-stack experience designing and building scalable applications end-to-end.
2. Excellent JavaScript skills and strong proficiency in React.
3. Familiarity with the MERN stacks (Mongo DB, Express.JS, React.JS, and Node.JS)
and Working experience with React, Redux, ES6.
4. Experience building backend APIs using Node JS and Express JS.
5. Experience with NoSQL databases such as Mongo DB, mongoose, aggregation
framework, and Redis.
6. Experience with Web sockets and related frameworks (e.g. Socket.IO) and
Knowledge of JSON Web Token.
7. Experience using RESTful APIs and basic Authentication Mechanisms.
8. Create and Maintain Microservices & Ability Showcase past work via live web
pages and familiarity with code versioning tool Git

• 5+ years of experience in a Data Engineer role
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases such as Cassandra.
• Experience with AWS cloud services: EC2, EMR, Athena
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with unstructured datasets.
• Deep problem-solving skills to perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.