GIST Advisory Pvt. Ltd. is looking for Product Manager to join our dynamic team and embark on a rewarding career journey Conducting market research and analysis to identify opportunities and understand customer needsDefining product vision, strategy, and roadmap, in alignment with company goalsCollaborating with cross-functional teams, such as engineering, design, and sales, to bring products to marketManaging the product lifecycle, from ideation to launch and post-launch evaluationMonitoring product performance and making data-driven decisions to drive growth and profitability Strong leadership and decision-making skills Excellent strategic and analytical skills Good communication and collaboration skills Strong technical knowledge and ability to understand complex product requirements Experience with product development processes and methodologies
Role Description: We are hiring a Senior Environmental Data Scientist to lead the technical development of nature and biodiversity data solutions. This is a high-impact individual contributor role for an environmental scientist first and foremost who is additionally an accomplished data scientist and programmer. Youll be responsible for transforming scientific research into scalable analytics, building robust environmental data products, and supporting product development through direct technical contribution. You will also play a soft leadership role supporting and mentoring junior data scientists, guiding generalists on environmental matters, and helping shape the long-term data science capacity of the Nature & Biodiversity team. This is a senior-level hire with a clear path to team leadership as our company grows. You will report to the Head of Nature & Biodiversity Products. Job Duties and Responsibilities: Lead Development of Data Solutions: Design and implement advanced data pipelines, metrics, and models that assess how businesses interface with nature. Apply Environmental Science at Scale: Translate robust environmental science into analytical workflows that can support business decisions and regulatory needs. Drive Methodological Rigor: Incorporate peer-reviewed methodologies and scientific best practices into product development; stay ahead of innovations in the field. Architect Scalable Data Solutions: Develop performant, production-ready code and collaborate with engineers to build tools for spatial, temporal, and exploratory analysis. Mentor and Guide: Support junior data scientists, serve as the go-to environmental expert across functions, and help build the teams overall environmental data science capacity. Engage with Frameworks: Apply knowledge of sustainability disclosure and risk frameworks (e.g. TNFD, ESRS, SBTN, SFDR) to develop solutions that meet evolving stakeholder needs. Collaborate and Communicate: Work cross-functionally with product, research, and engineering teams to translate scientific insight into real-world impact. Represent your work with external stakeholders as needed. Experience, Qualifications and Skills: Environmental Expertise: PhD (preferred) or Masters in environmental science, ecology, conservation, geosciences, or a closely related field. Experience: 5+ years applying data science to environmental or sustainability contexts; experience in a product-oriented or startup environment is a must. Programming & Engineering: Expert Python developer with strong engineering discipline (e.g., Git, unit testing, CI/CD); experience building high-quality analytical code. Geospatial & Remote Sensing: Advanced skills in spatial analysis, GIS tools, and remote sensing data workflows (e.g., raster/vector processing, spatial joins, indexing). Data Science & Machine Learning: Proficiency in statistical modelling, spatial ML, and fundamental AI/ML methods (e.g., scikit-learn, PyTorch, foundation models). Data Systems: Hands-on experience with relational and spatial databases (e.g., PostGIS), cloud data tools (e.g., Snowflake), and handling unstructured and structured data. Framework Fluency: Demonstrated ability to interpret and implement solutions aligned with environmental frameworks such as TNFD, ESRS, SFDR, and SBTN. Communication: Ability to explain complex ideas clearly to both technical and non-technical audiences; experience with data storytelling and visualization is a plus. Team Fit: Collaborative, proactive, impact-driven, and adaptable comfortable with the fast pace and opportunities of a growing startup. Preferred Qualifications: Deep experience with one or more particular nature-related domains, such as: biodiversity impact modeling; physical risk analysis; nature risk valuation. Experience contributing to or leading cross-disciplinary scientific or open-source projects. Work experience at corporate sustainability offices, financial institutions, regulatory bodies, or nature data providers.
Role and Responsibilities: Climate Risk Modelling & Scenario Analysis: Lead the development and application of advanced models for assessing physical (e.g., floods, heatwaves) and transition risks (e.g., policy shifts, low-carbon technologies) across sectors and asset classes, using tools like CLIMADA and aligned with NGFS, IPCC, and TCFD frameworks. Environmental & ESG Data Analytics: Design and implement methodologies to model environmental impacts (carbon, water, waste, biodiversity) using large-scale datasets, LCA databases, geospatial data, and remote sensing tools for cross-sectoral risk quantification. Financial Risk Integration: Collaborate with banks and financial institutions to embed climate and ESG risk indicators into credit rating models, stress testing frameworks, underwriting processes, and portfolio risk assessments to meet regulatory and disclosure expectations (e.g., CSRD, PCAF, EU Taxonomy). Research Leadership & Regulatory Alignment: Drive applied research and thought leadership through publications, IP development, and academic collaborations. Ensure climate analytics methodologies stay aligned with evolving standards and frameworks (e.g., ISSB, GFANZ, SBTN). Stakeholder Engagement & Communication: Present technical findings and strategic insights to clients, regulators, and internal teams. Contribute to multi-disciplinary innovation projects involving sustainability experts, data scientists, engineers, and product managers. Required Skills and Qualifications: Climate & Environmental Risk Expertise: Over 4 years of hands-on experience in climate/environmental risk analysis, with a strong focus on the financial sector including work with banks, asset managers, DFIs, or credit rating agencies. Demonstrated ability to apply or develop risk models tailored to regulatory frameworks such as Basel III/IV, TCFD, NGFS, and IFRS S2. Technical & Analytical Proficiency: Skilled in data science and statistical analysis using Python, R, MATLAB, and Excel. Experienced with climate datasets (e.g., CMIP6, ERA5, WorldClim), geospatial tools (QGIS, ArcGIS), and physical risk modelling frameworks like CLIMADA. Familiar with ESG standards and sustainability data integration. Financial Risk Knowledge: Solid understanding of credit and market risk principles, with the ability to overlay climate and environmental risks into traditional financial risk frameworks. Strong grasp of financial concepts, credit assessment, and stress testing methodologies. Research & Thought Leadership: Demonstrated thought leadership through publications, white papers, or industry contributions at the intersection of climate science, data analytics, and finance. Proven experience working in interdisciplinary teams spanning science, engineering, finance, and technology. Communication & Collaboration: Excellent verbal and written communication skills with a strong command of English. Effective at presenting complex findings to technical and non- technical audiences. Highly collaborative, detail-oriented, self-motivated, and capable of managing work both independently and in team settings. Qualification: Advanced degree (masters or PhD) in Environmental Science, Nature and Biodiversity related fields, Sustainability, or any related discipline.
[{"Salary":null , "Working_Model":null , "Remote_Job":false , "Posting_Title":"Senior Associate, Finance" , "Is_Locked":false , "City":"Mumbai" , "Job_Description":" Role Description: We are seeking a detail-oriented and analytical finance professional to join our team, specializing in Management Reporting, Analysis and financial modelling. The ideal candidate will play a critical role in financial data analysis, reporting, and supporting decision-making processes. Proficiency in advanced Excel, data visualization, and presentation skills is essential for success in this role. Job Duties and Responsibilities: Finance Transformation & Process Optimization Lead and project manage end-to-end delivery of key finance transformation initiatives across the group. Redesign and implement improvements to core finance processes to enhance automation, control, and scalability. Oversee and drive process improvements through template creations and training across: Month-end close Purchase ledger Order-to-cash Expense management Approval workflows Develop and maintain finance templates, forms, and SOPs. Design, structure and help create the investor data room to support audits, fundraising, and due diligence. Contribute to project-based financial initiatives with a focus on automation and operational efficiency. Standardize and roll out balance sheet reconciliation templates across the group. MIS Reporting & Analysis Design and roll out maintenance of monthly MIS dashboards to monitor financial performance, KPIs, and business metrics. Create the capabilities to analyze and present financial data, including P&L, budgets, forecasts, and variance reports. Project manage and roll out the timeliness of all management reports, dashboards, and presentations. Financial Modeling & Data Management Build and manage integrated financial models for budgeting, forecasting, scenario analysis and variance analysis. Collect, organize, and validate financial and operational data from multiple systems. Ensure data integrity and resolve discrepancies effectively. Presentation & Visualization Prepare clear and compelling templates for presentations using PowerPoint for internal and external stakeholders. Visualize complex data for decision-making using charts, graphs, and dashboards. Collaboration & Stakeholder Management Work closely with finance, operations, and cross-functional teams to enhance data flow and reporting. Support audit processes, reconciliations, and other ad-hoc finance projects. Upskill and train team members to embed best practices and tools. Continuous Improvement Identify opportunities for streamlining reporting processes and automating manual tasks. Stay updated with financial reporting trends, tools, and best practices. Desired Professional Traits: Proactive and self-motivated with a strong sense of ownership. Natural problem-solver who can identify process gaps and drive implementation. Collaborative mindset with the ability to work cross-functionally. Clear communicator who can translate complex data into actionable insights. Adaptable, curious, and eager to adopt new tools and best practices. Requirements Required Skills and Experience: Masterdegree in Finance, Business Analytics, or a related field. Additional certification or coursework in Sustainability is a strong plus. Proven experience in financial reporting, MIS, and transformation in a scaling or tech environment of minimum 3 years. Advanced proficiency in Microsoft Excel (including pivot tables, formulas, charts, and scenario tools). Strong PowerPoint skills for presentation development. Familiarity with data visualization tools like Tableau , Power BI , or Google Data Studio is advantageous. Familiarity with accounting softwares like Tally, Bexio, Zoho Books, Xero . Excellent analytical, problem-solving, and data interpretation skills. Strong attention to detail and the ability to manage multiple priorities. " , "Work_Experience":null , "Job_Type":"Full time" , "Job_Opening_Name":"Senior Associate, Finance" , "Country":"India" , "id":"162989000001126006" , "Publish":true , "Date_Opened":"2025-07-03" , "Keep_on_Career_Site":false}]
[{"Salary":null , "Working_Model":null , "Remote_Job":false , "Posting_Title":"Climate Risk Specialist (SME Scenario Modelling & Stress Testing)" , "Is_Locked":false , "City":"Mumbai" , "Job_Description":" Job Duties and Responsibilities: 1. Framework Development & Integration Lead the design, enhancement, and implementation of climate risk management frameworks, integrating both physical and transition risks into bank-wide risk processes. Ensure frameworks align with Basel IV, IFRS 9, TCFD, NGFS, and other leading regulatory and industry standards. 2. Risk Identification, Assessment & Modeling Identify, assess, and quantify climate-related risks across credit, market, and operational risk domains. Develop and execute advanced climate scenario analyses and stress tests, leveraging both deterministic and stochastic approaches. Build and validate credit risk models (PD, LGD, EAD) and valuation models for both equity and debt portfolios, incorporating climate risk factors. Apply financial modeling techniques to assess the impact of climate scenarios on balance sheets, P&L, and capital adequacy. 3. Data Science & Analytical Tools Design and deploy sophisticated analytical tools using Python and other programming languages for data manipulation, modeling, and visualization. Integrate AI/ML techniques to enhance predictive accuracy and scenario analysis capabilities. 4. Regulatory Compliance & Stakeholder Engagement Serve as the in-house expert on climate-related financial regulations, ensuring full compliance with global and local requirements. Prepare regulatory submissions, respond to queries, and maintain proactive engagement with regulators. Collaborate with business units (credit, market risk, corporate banking) to embed climate risk into daily decision-making. 5. Reporting, Disclosure & Thought Leadership Oversee the preparation of high-quality internal and external climate risk reports and disclosures for senior management, boards, investors, and regulators. Communicate complex climate risk concepts in a clear, actionable manner to diverse stakeholders. Stay at the forefront of climate science, sustainable finance, and regulatory trends, driving continuous improvement and innovation. Requirements Experience, Qualifications and Skills: Experience: Minimum 8 years in climate risk, sustainability, or related roles within financial services or regulatory bodies. Education: o PhD or Masterdegree in Climate Science, Data Science, Environmental Science, Energy, or related field; OR o Masteror equivalent in Actuarial Science, Financial Engineering, Mathematics, or other quantitative disciplines. Technical Expertise: o Demonstrable experience in credit risk modeling, valuation modeling (equity and debt), and financial modeling in a banking or investment context. o Advanced proficiency in Python for data analysis, modeling, and visualization; experience with other analytical tools (e.g., R, MATLAB, SAS) is a plus. Certifications: o GARP (Global Association of Risk Professionals) certifications such as FRM (Financial Risk Manager) are highly desirable. Regulatory Knowledge: o Deep familiarity with Basel III/IV, TCFD, NGFS, and other climate risk regulatory frameworks. Analytical Skills: o Strong quantitative and analytical capabilities, with proven experience in scenario analysis and stress testing. Communication & Leadership: o Excellent written and verbal communication skills; able to convey complex technical concepts to non-technical audiences. o Demonstrated ability to lead cross-functional projects, influence stakeholders, and drive organizational change. Other Attributes: o Strong problem-solving skills, attention to detail, and ability to work both independently and collaboratively. ","Work_Experience":"5+ years","Job_Type":"Full time" , "Job_Opening_Name":"Climate Risk Specialist (SME Scenario Modelling & Stress Testing)" , "Country":"India" , "id":"162989000001126313" , "Publish":true , "Date_Opened":"2025-08-22" , "Keep_on_Career_Site":false}]
[{"Salary":null , "Working_Model":"Hybrid" , "Remote_Job":false , "Posting_Title":"Senior Associate, RIL (Climate Risk)" , "Is_Locked":false , "City":"Mumbai" , "Job_Description":" Role and Responsibilities: -Climate Risk Modelling & Scenario Analysis: Lead the development and application of advanced models for assessing physical (e.g., floods, heatwaves) and transition risks (e.g., policy shifts, low-carbon technologies) across sectors and asset classes, using tools like CLIMADA and aligned with NGFS, IPCC, and TCFD frameworks. -Environmental & ESG Data Analytics: Design and implement methodologies to model environmental impacts (carbon, water, waste, biodiversity) using large-scale datasets, LCA databases, geospatial data, and remote sensing tools for cross-sectoral risk quantification. -Financial Risk Integration: Collaborate with banks and financial institutions to embed climate and ESG risk indicators into credit rating models, stress testing frameworks, underwriting processes, and portfolio risk assessments to meet regulatory and disclosure expectations (e.g., CSRD, PCAF, EU Taxonomy). -Research Leadership & Regulatory Alignment: Drive applied research and thought leadership through publications, IP development, and academic collaborations. Ensure climate analytics methodologies stay aligned with evolving standards and frameworks (e.g., ISSB, GFANZ, SBTN). -Stakeholder Engagement & Communication: Present technical findings and strategic insights to clients, regulators, and internal teams. Contribute to multi-disciplinary innovation projects involving sustainability experts, data scientists, engineers, and product managers. Requirements Required Skills and Qualifications: -Climate & Environmental Risk Expertise: Over 4 years of hands-on experience in climate/environmental risk analysis, with a strong focus on the financial sector including work with banks, asset managers, DFIs, or credit rating agencies. Demonstrated ability to apply or develop risk models tailored to regulatory frameworks such as Basel III/IV, TCFD, NGFS, and IFRS S2. -Technical & Analytical Proficiency: Skilled in data science and statistical analysis using Python, R, MATLAB, and Excel. Experienced with climate datasets (e.g., CMIP6, ERA5, WorldClim), geospatial tools (QGIS, ArcGIS), and physical risk modelling frameworks like CLIMADA. Familiar with ESG standards and sustainability data integration. -Financial Risk Knowledge: Solid understanding of credit and market risk principles, with the ability to overlay climate and environmental risks into traditional financial risk frameworks. Strong grasp of financial concepts, credit assessment, and stress testing methodologies. -Research & Thought Leadership: Demonstrated thought leadership through publications, white papers, or industry contributions at the intersection of climate science, data analytics, and finance. Proven experience working in interdisciplinary teams spanning science, engineering, finance, and technology. -Communication & Collaboration: Excellent verbal and written communication skills with a strong command of English. Effective at presenting complex findings to technical and non-technical audiences. Highly collaborative, detail-oriented, self-motivated, and capable of managing work both independently and in team settings. -Qualification: Advanced degree (masteror PhD) in Environmental Science, Nature and Biodiversity related fields, Sustainability, or any related discipline. ","Work_Experience":"5+ years","Job_Type":"Full time" , "Job_Opening_Name":"Senior Associate, RIL (Climate Risk)" , "Country":"India" , "id":"162989000001226001" , "Publish":true , "Date_Opened":"2025-08-04" , "Keep_on_Career_Site":false}]