SEM Executive

Role Overview

We are looking for an experienced Commodity Trader responsible for executing trading strategies, managing commodity portfolios, and identifying profitable opportunities in global commodity markets. The role requires strong analytical skills, market understanding, and the ability to manage risk while maximizing returns.

Key Responsibilities

Trading & Market Execution

• Execute buy and sell orders for commodities such as metals, energy, agricultural products, or derivatives.
• Monitor market trends, pricing, and global supply-demand dynamics.

Market Analysis

• Conduct fundamental and technical analysis of commodity markets.
• Track geopolitical events, weather patterns, and economic indicators affecting commodity prices.

Portfolio & Risk Management

• Manage commodity trading portfolios and ensure adherence to risk management guidelines.
• Monitor exposure levels and hedge positions where necessary.

Strategy Development

• Develop and implement profitable trading strategies.
• Identify arbitrage opportunities across markets and exchanges.

Stakeholder Coordination

• Work closely with brokers, exchanges, logistics teams, and finance teams.
• Maintain relationships with suppliers, customers, and market participants.

Reporting

• Prepare daily trading reports, P&L analysis, and market outlook summaries.
• Provide insights to senior leadership on market opportunities and risks.

Ideal Candidate

Mandatory Requirements

• Experience: 5–10 years of experience in commodity trading or commodity markets.
• Market Knowledge: Strong understanding of commodity markets such as metals, energy, or agricultural commodities.
• Trading Platforms: Hands-on experience with trading platforms and financial instruments (futures, options, swaps).
• Analytical Skills: Strong quantitative and analytical skills for market forecasting.
• Risk Management: Experience managing exposure, hedging strategies, and volatility.

Preferred Qualifications

• Experience trading on major exchanges (MCX, LME, CME, ICE).
• Background in energy, metals, or agricultural commodities trading.
• Strong Excel, data analysis, or financial modeling skills.

Education

• Bachelor’s degree in Finance, Economics, Business, or related field
• MBA or CFA is a plus.

Skills

• Commodity market analysis
• Trading strategies
• Risk management
• Financial modeling
• Market research
• Negotiation and decision-making

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

Example Responsibilities:

• Build and optimize model serving infrastructure with a focus on inference latency and cost optimization
• Architect efficient inference pipelines that balance latency, throughput, and cost across various acceleration options
• Develop monitoring and observability solutions for ML systems
• Collaborate with ML Engineers to establish best practices for optimized model deployment
• Implement cost-efficient, enterprise-scale solutions
• Collaborate in a cross-functional, distributed team for continuous system improvement
• Work with MLEs, QA Engineers, and DevOps Engineers
• Evaluate and implement new technologies and tools
• Contribute to architectural decisions for distributed ML systems

Experience and Qualifications:

• 5+ years of experience in software engineering with Python
• Experience with ML frameworks, particularly PyTorch
• Experience optimizing ML models with hardware acceleration (AWS Neuron , ONNX, TensorRT)
• Experience with AWS ML services and hardware-accelerated instances (Sagemaker, Inferentia,Trainium)
• Proven experience building and operating AWS serverless architectures
• Deep understanding of event-driven processing patterns, SQS/SNS and serverless caching solutions
• Experience with containerization using Docker and orchestration tools
• Strong knowledge of RESTful API design and implementation
• Proficiency in writing good quality & secure code and be familiar with static code analysis tools
• Excellent analytical, conceptual and communication skills in spoken and written English
• Experience applying Computer Science fundamentals in algorithm design, problem solving, and complexity analysis

Great to have Experience and Qualifications:

• Experience with any of the following: model compilation and quantization, performance profiling and benchmarking ML inference systems
• Experience working in regulated industries with strict compliance requirements for cloud-native solutions

Job Summary: We are seeking a highly skilled and experienced Senior .NET Developer to join our dynamic development team. The ideal candidate will have a strong background in developing robust, scalable, and high-performance applications using the Microsoft .NET framework, coupled with significant expertise in SQL Server. You will be instrumental in designing, developing, and maintaining complex software solutions, collaborating with cross-functional teams, and mentoring junior developers.

Responsibilities:

• Design, develop, test, deploy, and maintain high-quality, scalable, and secure applications using C#, .NET/.NET Core, and related technologies.
• Lead the development of key modules and features, ensuring adherence to coding standards, best practices, and architectural guidelines.
• Collaborate with product owners, business analysts, and other stakeholders to understand requirements, translate them into technical specifications, and propose effective solutions.
• Develop and optimize complex SQL queries, stored procedures, functions, and database schemas for optimal performance and data integrity.
• Perform code reviews, provide constructive feedback, and ensure the quality and maintainability of the codebase.
• Troubleshoot, debug, and resolve software defects and production issues in a timely manner.
• Actively participate in the entire software development life cycle (SDLC), including requirements gathering, design, development, testing, deployment, and support.
• Mentor and guide junior developers, fostering their growth and ensuring best practices are followed.
• Stay up-to-date with emerging technologies and industry trends, evaluating and recommending new tools and practices to improve development efficiency and product quality.
• Contribute to the continuous improvement of development processes and methodologies.

Required Skills and Experience:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Minimum of 4+ years of professional experience in software development with a strong focus on the Microsoft .NET ecosystem.
• Proficiency in C# and extensive experience with .NET Framework (4.x) and/or .NET Core/.NET 5+.
• Solid understanding and practical experience with ASP.NET MVC, Web API, 
• Strong SQL skills with proven experience in designing databases, writing complex queries, stored procedures, functions, and optimizing database performance in Microsoft SQL Server.
• Experience with front-end technologies such as HTML5, CSS3, JavaScript, jQuery, and at least one modern JavaScript framework (e.g., Angular, React, Vue.js) is a plus.
• Familiarity with ORM frameworks such as Entity Framework or Dapper.
• Experience with version control systems, particularly Git.
• Understanding of object-oriented programming (OOP) principles, design patterns, and software development best practices.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and interperson

📍Company: Versatile Commerce

 📍 Position: Data Scientists

 📍 Experience: 3-9 yrs

 📍 Location: Hyderabad (WFO)

 📅 Notice Period: 0- 15 Days

Position description:

• Architect and own the report automation framework using GCP’s Bigquery and any scripting language (R/Python)
• Work on the enhancement of existing and new analysis on Tableau 
• Work closely with the existing team and mentor them 
• Work on Ad-hoc analysis

Primary Responsibilities:

• Architect and own the report automation framework using GCP’s Bigquery and any scripting language (R/Python)

Reporting Team

• Reporting Designation: Data Science Analyst
• Reporting Department: Digital Analytics BI (2511)

Required Skills:

• Hands-on experience in relevant tools like SQL(expert), Excel, R/Python, Tableau/PowerBI
• Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required

Job Description :

- This role is responsible for Implementation, one of the most critical phases in a client's life cycle.

- We are looking for an experienced and driven Director, Implementation who is responsible for applying expert knowledge of implementation and large project processes while providing strategic direction to minimize time to first value for all customers.

- As the Director, Implementation, you will manage a growing team and develop processes and procedures for enterprise implementations.

Responsibilities :

- Take proactive ownership of regional implementation health.

- Create scalable processes and definitive scope around implementation services

- Implement systematic processes for tracking and reporting on the implementation status

- Maintain a highly skilled team of Implementation Managers and manage team allocation to maximize resources and output

- Direct the activities of the implementation team to meet client needs and create successful partnerships

- Lead team to complete process analysis, design/redesign of multiple workflows and processes to ensure that they are customer-focused, consistent, effective and efficient and in compliance with company standards

- Develops and manages all deliverables needed for effective implementation to include but not limited to: detailed project plan/timeline, action log, meeting notes, process/procedures and forms documentation, etc.

- Own execution of the roll-out within the allotted implementation timeframe

- Full ownership and accountability of customer satisfaction and on-time delivery throughout the Implementation phase

- Provide support to Account Executives & Sales Engineers during the Sales cycle

- Ability to speak knowledgeably on all technical integration options available within an implementation

- Facilitate hand-off from Sales to Implementation

- Connect regularly with all team members and provide strategic guidance, feedback on performance, and remediate as needed

- Monitor the progress of each account at a deeper level

- Ensure all metrics are accurate and up-to-date

- Advocate customer needs/issues cross-departmentally

- Understand and manage escalations efficiently and appropriately

- First point of contact for all inquiries on project status from executive leadership

- Recognize risks and puts remediation plans in place, interfaces directly with clients escalates to exec level when needed

- Partner with global teams on solutions, process enforcement, and overall regional health

Qualifications :

- 15-18 years of experience working with global enterprise customers in software implementation or Project Management type role at a SaaS company

- 7-10 years experience in a supervisory or managerial role; People leadership of direct and indirect reports

- Bachelor's degree;

- Previous experience as a Manager, Implementation for enterprise software

- Proven track record of successful implementation with enterprise clients

- Highly developed project management skills

- Ability to influence and guide clients through complex implementations

- Strong leadership skills; ability to lead a group of diverse individuals in a high-performance team

- Demonstrated presentation and client-facing skills

- Superior presentation skills; experience with presenting to C-level Executives

- Experience in client services/operational roles and ability to effectively counsel clients and internal business partners

- Analytical skills to determine root causes and develop solutions

- Understanding of sales, marketing, client relations roles, and their interdependence

- Demonstrated ability to adapt to a fast-paced and changing the technical environment

- Self-starter seeks out challenges

- Flexible

1. Vendor Management :: On-boarding & Payments
2. MIS Reporting & Presentation
3. Work closely with tech team, participating in the tech discussion regarding features feasibility as per technology
4. Work with teams like Customer Service, inside sales, Operations etc. to improve our customer retention, identify avenues for cross-selling/up-selling at a product level.
5. Product research, competitive analysis, positioning and packaging of the product 
6. Work closely with business, technology, operations, sales, marketing teams to gather the product requirements and build the final version and structure of the product vision. 
7. Define the product roadmap, release models and delivery the same. 
8. Responsible for sourcing, identifying and generation of new ideas, based on internal intelligence, user behavioral trends, market analysis and revenue maximization. 
9. Preparation of the product note/policies as per the guidelines and benchmarking the product features with the peers. 
10. Successful launch of the new product, versions, enhancements, in line with the cost, scope, quality and schedule