Manager (Commodity Trading, Risk Mgmt. & Optimisation Strategy)

Job Summary:
Mindsprint is a leading domainled technology transformation company. We believe that a deep, fundamental understanding of the business domain is our essential differentiator, and this ensures our solutions are built by experts who speak the language of the industry. Our consulting teams combine strong domain expertise with technology and datadriven transformation capabilities to solve complex business challenges for global enterprises. making us a home where business SMEs thrive alongside technology. We are seeking a highpotential professional to join our Business Transformation Services team in the Consulting practice which sits at the intersection of business operations, supply chain, and technology enablement.
This role is particularly focused on supporting clients in the agribusiness and agricultural commodities trading ecosystem, where operational depth and commodity domain knowledge are essential to enabling scalable transformation and business value creation.
The role will support strategic initiatives across the endtoend commodity trading lifecycle, with a focus on CTRM processes, operational optimization, digital transformation, and stakeholder alignment. We are specifically prioritizing Subject Matter Experts (SMEs) from the Agricommodity space, the ideal candidate combines strong business acumen with analytical problemsolving capabilities and has handson exposure to commodity trading operations, supply chain processes, or CTRMenabled transformation initiatives. This role offers the opportunity to work closely with trading, execution, logistics, finance, risk, and technology teams to drive scalable operational improvements across global trading workflows.

Job Description:
Support and drive transformation initiatives across the commodity trading and supply chain ecosystem, including CTRM process optimization and operational efficiency programs
Help commodity trading organizations set up and expand their trading and risk management activities across agri markets and agricultural commodity value chains.
Collaborate with trading, execution, logistics, contract management, risk, and finance teams from client side to analyze business processes and identify improvement opportunities
Conduct process assessments, stakeholder workshops, root cause analysis, and business impact evaluations for operational challenges
Translate business requirements into structured functional specifications and partner with technology teams for solution delivery
Frame highvalue quantitative problems across forecasting, optimization, quantitative risk, anomaly detection, and related decision workflows tied to economic or operational outcomes.
Develop integrated strategies that leverage data science to drive decisionmaking in investment, trading, and other deeply quantitative domains, aligning with our clients’ business objectives.
Utilize advanced analytics, machine learning, and predictive modelling to interpret market signals and forecast trends, providing clients with a competitive edge.
Drive process standardization, automation, reporting enhancement, and operational control improvements across trade lifecycle functions
Coordinate crossfunctional stakeholders across business operations, technology, and external partners/vendors where applicable
Contribute to change management, user adoption, and process governance initiatives during transformation programs

Profile Description:
The ideal candidate is an analytically strong and business oriented professional with exposure to commodity trading operations, supply chain processes, or consulting led transformation initiatives. The individual must demonstrate a "domain first" mindset, bridging operational business needs with technology enabled solutions.
The individual should demonstrate the ability to bridge operational business needs with technology enabled solutions and possess the potential to grow into a broader transformation or operational leadership role.
Candidates with a strong background and experience in Agribusiness, Agri trading operations, or Agri focused CTRM environments are highly preferred.

Required Qualifications:
MBA or equivalent postgraduate degree from a Tier1 or reputed business school preferred
3–5 years of relevant experience in one or more of the following areas:
Agri commodity trading operations / CTRM domain
Supply chain or operations consulting
Business transformation or process optimization
Strong analytical and structured problem solving skills, knowledge of how global agri markets work and grasp of agricultural commodity trends
Ability to work in cross functional and fast paced operational environments
Experience working with commodity trading lifecycle functions such as execution, logistics, contracts, settlements, inventory, pricing, or risk operations
Demonstrated experience in business analysis, process mapping, stakeholder management, or operational improvement initiatives
Demonstrated experience in research and data engineering, advanced data analytics, statistical modelling, machine learning, and/or AI / GenAI.

Preferred Qualifications:
Direct prior exposure to Agribusiness or agricultural commodities trading environments and familiarity with trade execution workflows, shipment operations, invoicing, settlements, and reporting processes
Exposure to digital transformation, process automation, or operational excellence initiatives
Knowledge of data analysis and reporting tools such as Power BI, SQL, Excel/VBA, Python/R, Gen AI and/or process visualization tools is an advantage

Required Interpersonal Skills & Competencies:
Problem Solving & Delivery
Structured analytical thinking
Root cause analysis and issue resolution
Process improvement orientation
Ability to manage ambiguity and evolving business priorities
Stakeholder Management
Strong communication and collaboration skills
Ability to engage effectively as a domain expert with business users, leadership teams, and technology stakeholders
Workshop facilitation and requirement gathering capabilities
Personal Attributes
Ownership mindset with strong execution orientation
Learning agility and adaptability
High attention to detail with operational discipline
Ability to work under tight timelines and operational dependencies