Product Manager-Decision Science

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

Strong Full Stack Engineer profiles

Mandatory (Experience 1) – Must have 1+ years of hands-on full stack engineering experience (avoid frontend-heavy only profiles, backend heavy will work)

Mandatory (Experience 2) – Must have strong backend engineering experience using Python, including designing and owning APIs, services, and data models in production environments

Mandatory (Experience 3) – Must have strong frontend development experience using React (or equivalent), including component architecture, state management, and building production-grade user interfaces

Mandatory (Experience 4) – Must have end-to-end ownership experience, building and shipping features across the full stack (UI + API + database) without clear handoff boundaries

Mandatory (Experience 5) – Must have strong web fundamentals, including understanding of browser rendering, performance optimization, and accessibility best practices

Mandatory (Experience 6) – Must be able to demonstrate solving complex problems on both frontend and backend, clearly articulating trade-offs, decisions, and outcomes

Mandatory (Experience 7) – Must have solid experience with databases (SQL/NoSQL), including schema design, query optimization, and handling performance bottlenecks

Mandatory (Company) - Top Product Companies, (preferred early-stage startups with Seed to Series C/D with fast-paced shipping culture)

Mandatory (Education) - Tier-1 institutes (IITs, BITS, IIITs), Can be skipped if from Top notch product companies

Strong sales executive profile

Mandatory (Experience 1): Must have 3+ years of hands-on B2B SaaS sales experience, preferably selling subscription-based products or platforms

Mandatory (Experience 2): Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure

Mandatory (Experience 3): Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.

Mandatory (Experience 4): Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders

Mandatory (Experience 5): Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.

Mandatory Experience (6): Prior experience working in the Rewards, Loyalty, or Incentives space.

Mandatory (Company): B2B SaaS Product companies

Language Requirement: Tamil language proficiency is mandatory.

Mandatory(Exclusion) : Profiles with Only EdTech background will not be considered.Preferred (Consultative Selling): Strong listening skills with the ability to understand client business challenges and position SaaS solutions accordingly.

Company Name - Bhanzu formerly (Exploring Infinities).

Website - https://www.bhanzu.com/

Location - HSR Layout, Bangalore

Workdays: 6-days

Key Responsibilities:

• Candidate Sourcing: Assist in sourcing candidates through various channels, such as online job boards, social media platforms, and professional networks.
• Resume Screening: Review resumes and applications to identify qualified candidates and maintain an organized candidate pipeline.
• Interview Coordination: Schedule and coordinate interviews between candidates and hiring managers, ensuring a smooth and efficient process.
• Candidate Communication: Maintain regular communication with candidates, providing updates on the status of their applications and answering any questions they may have.
• Applicant Tracking: Update and maintain the applicant tracking system (ATS) with accurate and up-to-date candidate information.
• Recruitment Advertising: Support the creation and posting of job advertisements on various online platforms and monitor their effectiveness.
• Employer Branding: Contribute to employer branding initiatives by creating content for social media platforms and assisting in the organization of recruitment events.
• Reference Checks: Conduct reference checks for selected candidates to gather additional insights and validate qualifications.
• Data Analysis: Assist in analyzing and reporting recruitment metrics to track the effectiveness of sourcing strategies and hiring processes.
• Administrative Support: Provide administrative support to the Talent Acquisition team, such as organizing files, maintaining documentation, and preparing reports.

Requirements:

• Recent graduate in Human Resources, Business Administration, or a related field.
• Strong interest in talent acquisition and recruitment.
• Excellent verbal and written communication skills.
• Highly organized with strong attention to detail.
• Proficient in using Microsoft Office Suite (Word, Excel, PowerPoint).
• Familiarity with applicant tracking systems (ATS) is a plus.
• Ability to handle sensitive and confidential information with professionalism and integrity.
• Self-motivated and able to work independently as well as collaboratively in a team environment.
• Strong time management skills and ability to prioritize tasks effectively.
• Flexible and adaptable, with the ability to thrive in a fast-paced and changing work environment.
• A working device 

🚀 Job Opportunity: Sales & Operations Executive 📢

We are looking for a proactive Sales & Operations Executive to drive business growth through sales, vendor management, inventory control, event coordination, and school partnerships. If you have strong negotiation skills, sales expertise, and experience handling tenders and logistics.💼

🔹 Key Responsibilities:

🔸 Sales & Business Development:

• Identify & engage potential clients (schools & educational institutions) 🎯
• Develop and implement sales strategies to boost revenue 📈
• Maintain strong client relationships & ensure repeat business 🤝
• Follow up on leads & close deals 💰
• Perform cold calling to generate leads 📞

🔸 Vendor & Procurement Management:

• Source, negotiate, and manage vendors for book printing & procurement 📚
• Ensure cost-effective purchasing with quality & timely delivery⏳✅

🔸 Event & Fair Sales Management:

• Plan & execute book fairs, exhibitions, and educational events 🎪
• Oversee stall setup, visitor engagement, and sales operations🏷️
• Manage event logistics & promotional materials 📦

🔸 School & Field Sales Visits:

• Conduct school visits to build partnerships & promote offerings 🏫
• Present & demonstrate Bynaric Systems' products to educators 👩‍🏫

🔸 Inventory & Logistics Coordination:

• Maintain accurate inventory records 📊
• Coordinate logistics for timely deliveries 🚚

📊 Key Performance Indicators (KPIs):

✅ Sales Growth: Achieve revenue targets

✅ Client Acquisition: Increase school partnerships

✅ Event Success: Sales impact from fairs & exhibitions

✅ Tender Wins: Secure contracts

✅ Inventory Accuracy: Efficient stock management

✅ Customer Satisfaction: Positive client feedback

✅ Operational Efficiency: Timely execution of tasks

✨ Key Competencies Required:

✔️ Strong sales & negotiation skills

✔️ Excellent communication & relationship-building abilities

✔️ Event planning expertise

✔️ Inventory & logistics management knowledge

✔️ Understanding of tendering processes

✔️ Problem-solving mindset & adaptability for fieldwork

🌐 Company Websites:

Bynaric Systems: www.bynaric.com

SapienKid: www.sapienkid.com

📩 How to Apply:

Interested candidates can apply by sending their updated resumes to hr@bynaric(dot)in with the subject line: Sales & Operations Executive

Join us & be part of an exciting journey! 🌟

Who We Are Looking For 

A candidate that is willing to do client servicing and a support mechanism for Business Development along with overall assistance on event projects.

Responsibilities: 

• Shall be responsible for the coordination of campaigns where one would get to learn the entire process of pitching business to the clients and execution of the campaigns.
• Identify new business opportunities and potential clients through market research, networking, and other methods.
• Setting up meetings with the new clients.
• Preparing MOMs and brief documents.
• Brainstorming and preparation of presentations
• Will have to assist in preparing and delivering presentations, and proposals, negotiate and close deals to potential clients and partners.
• Should keep abreast of industry trends and best practices.

Skills: 

• Strong analytical and problem-solving skills, with the ability to think strategically.
• Excellent communication and interpersonal skills

Company URL: http://www.tribeww.in

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.