Operations Manager

Role-Sr. Engineer – Costing / Assistant Manager – Costing.

Working Days-6 Days (WFO)

Location-Pune (Chakan)

Job Description – Costing

Industry- Wiring Harness

Key Responsibilities

Costing Operations

• Ensure timely submission of quotations to customers.
• Handle copper amendments for all customers as required.
• Update prices in SAP as per the latest Purchase Order (PO).
• Ensure timely submission of supplementary invoices to all customers.
• Follow up with customers for pending POs.
• Take initiative in controlling and optimizing costs.

Strategic Planning

• Maintain strong relationships with clients to ensure smooth business operations, especially in costing-related matters

Client Servicing

• Manage customer service operations related to costing and ensure timely delivery.
• Resolve any costing-related issues efficiently.
• Deliver value-added costing presentations to customers.
• Monitor ongoing costing and manage price revisions/amendments as needed.

Skills & Job Requirements

• Strong leadership and interpersonal skills.
• Excellent communication and presentation abilities.
• Strategic thinking with a results-oriented mindset.
• Strong analytical and conceptual skills with attention to detail.
• Proactive approach with high energy levels.
• Good techno-commercial understanding.
• Strong capability in cost analysis.
• Understanding of customer and market dynamics.
• Creative and innovative thinking skills.
• Awareness of IATF and EMS standards.

Strong Software Engineering Profile

Mandatory (Experience 1): Must have 5+ years of experience using Python to design software solutions.

Mandatory (Skills 1): Strong working experience with Python (with Django framework experience) and Microservices architecture is a must.

Mandatory (Skills 2): Must have experience with event-driven architectures using Kafka

Mandatory (Skills 3): Must have Experience in DevOps practices and container orchestration using Kubernetes, along with cloud platforms like AWS, GCP, or Azure

Mandatory (Company): Product companies, Experience working in fintech, banking, or product companies is a plus.

Mandatory (Education): From IIT (Candidate should have done bachelor degree Btech or Dual degree Btech+Mtech or Intergrated Msc), From other premium institutes NIT, MNNIT, VITS, BITS (Candidates should have done B.E/B.Tech)

Preferred

Profile

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.

About 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.

Objective:

• To manage complete back-office operations related to insurance broking business.

• SAIBA (Insurance broking software) based transactions management.

• Business renewals and retention

Roles & Responsibilities:

• Entry / booking of new / renewal business.

• Tracking the proposal end to end from booking, issuance, endorsement, and brokerage recovery.

• Recon of broking account statements and raising of invoices with insurance companies and timely collection of commission

• Follow-up with insurance companies for brokerage recovery

• Rapport building with insurance companies.

• Follow-up with internal stakeholders for requirement closure

• Create reports and dashboards and publish to internal and external stakeholders and management on a timely basis.

• Follow-up with IT team for reporting and closure of systems bugs/ issues

• Reconciliation Management

• Data Management

Requirements:

• Graduation / Post Graduation. Insurance related qualification would be added advantage.

• 2 -3 years of relevant experience

• Strong proficiency on MS- Excel. Good working knowledge of MS Office – Word, PowerPoint, and Outlook

• Experience of working in the space of insurance broking operations

• Conversant to SAIBA software or any other insurance broking software

• Good cross functional coordination capabilities with internal stakeholders like Finance, compliance, internal audit etc.

• Excellent skills in Microsoft Excel

• Good communication skills

• Good hold on data and datacentric assignments

Roles & Responsibilities:

• Building smooth UIs and designing responsive screens across both mobile platforms.
• Leveraging native APIs for deep integrations with both platforms.
• Diagnosing and fixing bugs and performance bottlenecks.
• Reaching out to the open source communities to encourage and help implement mission - critical software fixes (React Native updates frequently and dependent libraries might break).
• Maintaining code and writing automated tests to ensure the product is of the highest quality. 

Skills Required:  

• Familiarity with native build tools, like XCode, Gradle
• Understanding of REST APIs and offline storage
• Experience with unit testing and integration testing
• Experience with Cl/CD and version control (i.e., GitHub) highly valued 
• Bachelor's degree in computer science, computer engineering, or similar
• Strong communication skills: you possess the ability to communicate complex problems in a simple and effective way
• Have worked in an agile and fast-paced environment (ideally at an e - commerce or logistics company)
• Ready to join the team immediately

• Work with developers to build out CI/CD pipelines, enable self-service build tools and reusable deployment jobs. Find, explore, and advocate for new technologies for enterprise use.
• Automate the provisioning of environments
• Promote new DevOps tools to simplify the build process and entire Continuous Delivery.
• Manage a Continuous Integration and Deployment environment.
• Coordinate and scale the evolving build and cloud deployment systems across all product development teams.
• Work independently, with, and across teams. Establishing smooth running. environments are paramount to your success, and happiness
• Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the[1]box thinking, teamwork, self-organization, and diversity.

Technical Skills

• Experience with AWS multi-region/multi-AZ deployed systems, auto-scaling of EC2 instances, CloudFormation, ELBs, VPCs, CloudWatch, SNS, SQS, S3, Route53, RDS, IAM roles, security groups, cloud watch
• Experience in Data Visualization and Monitoring tools such as Grafana and Kibana
• Experienced in Build and CI/CD/CT technologies like GitHub, Chef, Artifactory, Hudson/Jenkins
• Experience with log collection, filter creation, and analysis, builds, and performance monitoring/tuning of infrastructure.
• Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (have at least some configuration management tool through some version control).

Qualifications:

• B.E/ B.Tech/ M.C.A in Computer Science, Electronics and Communication Engineering, Electronics and Electrical Engineering.
• Minimum 60% in Graduation and Post-Graduation.
• Good verbal and written communication skills

Responsibilities:

• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
• Verifying data quality, and/or ensuring it via data cleaning.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.

• Manages day to day business of the operations department 
• Oversees operational processes while looking for improvement opportunities
• Anticipates & tracks operational risks and provides strategic solutions
• Works with sales teams to help set and meet daily and quarterly goals.
• Plays a significant role in long-term planning and implementing quality control processes.
• Works closely with COO on other special planning and departmental projects.
• Oversees and reports weekly, monthly, quarterly, and annual metrics.
• Collaborates with other back-office team members to ensure seamless business execution, reinforce positive morale, and uphold company values.
• Collaborates with transitions and onboarding team as needed.
  
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