31 Risk Strategy Jobs

Job Title: Risk and Compliance Manager Management Level: Manager / Consultant Location: Gurgaon, Mumbai, Bangalore, Pune, Hyderabad Experience: 5–12 Years Education: MBA (Finance) from a Tier-1 B-school, or CA/CMA, CFA Certifications (Preferred): FRM, PRM, CFA About the Role Join a Top-Tier Strategy & Consulting Practice , where you will support global clients in building innovative, forward-looking risk management strategies as a Risk and Compliance Manager , where you will support global clients in building innovative, forward-looking risk management strategies. In this role, you will drive consulting projects, partner with deal teams, and help shape the future of risk and compliance across diverse sectors. Key Responsibilities Lead the design and delivery of risk strategy, transformation programs, business cases, and technology solutions in areas such as: Enterprise risk management Portfolio and liquidity risk Market and credit risk modeling Fraud and financial crime risk compliance Advise clients across geographies on risk maturity assessments and regulatory frameworks. Build and manage a pipeline of consulting engagements and business development opportunities. Author thought leadership and whitepapers on emerging risk trends. Collaborate closely with global teams to ensure consistent, high-quality delivery across markets. Contribute to practice development through mentorship, capability building, and knowledge sharing. Must-Have Skills Deep expertise in risk modeling , with hands-on experience in PD, LGD, EAD methodologies. Demonstrated experience in designing and executing credit, market, or liquidity risk frameworks. Proven ability to lead consulting projects or internal risk transformation programs. Strong business acumen with a consultative mindset. Excellent written, verbal, and presentation skills. Familiarity with risk technologies and platforms like Murex, Calypso, SAP HANA, PEGA, JIRA, Bloomberg, etc. Good-to-Have Skills Exposure to areas such as: Credit underwriting frameworks, collections, and counterparty risk FRTB, IBOR transition, stress testing, and capital calculations Risk register development, RCSA, KRI/KCI, fraud analytics Third-party risk consulting and operational risk management Knowledge of regulatory environments in key global markets Experience working with global clients in distributed delivery models Why Join Us Work with G2000 clients on strategic, high-impact projects Collaborate globally with leaders across strategy, tech, and industry Access world-class learning and development opportunities Champion responsible business , inclusion, and equality in everything you do Be part of a culture that supports growth, innovation, and purpose-driven work

About PhonePe Group PhonePe is India s leading digital payments company with 50 crore (500 Million) registered users and 3.7 crore (37 Million) merchants covering over 99% of the postal codes across India. On the back of its leadership in digital payments, PhonePe has expanded into financial services (Insurance, Mutual Funds, Stock Broking, and Lending) as well as adjacent tech-enabled businesses such as Pincode for hyperlocal shopping and Indus App Store which is India's first localized App Store. The PhonePe Group is a portfolio of businesses aligned with the company's vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services. Culture At PhonePe, we take extra care to make sure you give your best at work, Everyday! And creating the right environment for you is just one of the things we do. We empower people and trust them to do the right thing. Here, you own your work from start to finish, right from day one. Being enthusiastic about tech is a big part of being at PhonePe. If you like building technology that impacts millions, ideating with some of the best minds in the country and executing on your dreams with purpose and speed, join us! What to expect from this role We plan to expand our risk strategy team, and we are looking for experienced risk professionals who will work on building risk strategy for our lending business. They will work in a dynamic environment, and with cross-functional teams to help manage risk while continuously supporting the business to grow. They will be expected to work on: Build Risk strategies to manage Fraud and Credit Risk for Lending business Build best in class risk models Be able to clearly communicate results and recommendations to various stakeholders Manage the overall portfolio risk and predict ECL for the portfolio Evaluate alternate data sources to solidify the risk management Work with cross-functional teams to build the anomaly detection capabilities Collaborate with Product team to build the right product to manage risk Evaluate the effectiveness of the solutions and improve upon them in a continuous manner We expect them to have a mix of a strong technical background and to have a keen eye for business implications of their work The ideal candidate for this role should BTech/ BE from Tier-I & II colleges 1-2 years of experience in Risk Analytics preferably with FinTechs Experience in SQL, Python, MS Excel Preferably experience with Statistical modeling such as Logistic Regression, Decision Trees, Gradient Boosting models etc. Be agile and highly collaborative, communicate impressively Strong analytical acumen and problem solving Be skilled in building and managing business alliances Be highly data-driven and adept at balancing needs with business goals Thrive in a competitive and a result-oriented work environment PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog . Life at PhonePe PhonePe in the news

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Hiring for Multiple Roles 1. SAS, SQL, Marketing Analytics 2. SAS, SQL, Credit Risk Model 3. SAS, SQL Strategy Development 4. SAS, SQLCollection Strategy 5. SAS, SQL, MRM 6. SAS, SQL, Credit Risk Model

Role & responsibilities Analyze data and identify trends to develop effective debt management strategies Collaborate with cross-functional teams to implement strategies and monitor their effectiveness Conduct regular reviews of debt collection processes and make recommendations for improvement Monitor and analyze delinquency rates and develop action plans to reduce them Develop and maintain relationships with external agencies and vendors for debt collection Stay updated on industry trends and best practices in debt management and collections Prepare and present reports to senior management on debt management strategies and results Preferred candidate profile Minimum 5 years of experience in debt management or related field Strong understanding of debt collection processes and strategies Excellent analytical and problem-solving skills Ability to work independently and in a team environment Strong communication and interpersonal skills Proficient in Microsoft Office and data analysis tools

Salary: 20 to 35 LPA Exp: 3 to 10 years Location: Bangalore/Gurgaon/Pune Notice : immediate to 30 days..!! Role and Responsibilities: Credit Risk /Fraud Risk Strategy: Role Details: The role is expected to use analytical tools to identify opportunities to grow overall assets as well as manage risk. It involves managing risk management framework across customer lifecycle acquisition, portfolio management and collections, across retail lending products. Responsibilities : - Design, analyze, monitor credit risk strategies for different loan products such as personal loans, auto loans, etc. - Identify the opportunity areas for portfolio growth and pro-actively communicate with stakeholders - Collaborate across other risk functions (example technology, product, etc.) to implement the analytical decisions - Understand existing underwriting rules, strategies and replicate them in business rules using SAS/SQL - Design and analyze income, employment, fraud verification strategies - Develop, maintain and improve risk policies, strategies, processes and procedures within the assigned function - Utilize application, bank and bureau information to derive business insights - KPI generation, tracking of risk and delinquency metrics for portfolios using SQL/Tableau

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Location: PAN India Immediate joiner required Experienced in end to end capital or Impairment process management RWA calculation engine using Standardized approach (BASEL 1/2/3) for Credit Risk Asset classification for Retail and Wholesale Products, Collateral Adjustment, on balance/ off balance exposure calculation Migration RWA calculation from BASEL 3 to 3.1 using Standardized or AIRB approach Knowledge of Banking domain/ banking products like Retail, corporate, banks, SME, Sovereign Project management / stakeholder management Keywords : Standardized approach - BASEL 1/2/3 Capital Reporting (Standardized approach) RWA Calculation Credit Risk (RWA) capital management

Salary: 20 to 35 LPA Exp: 3 to 10 years Location: Bangalore/Gurgaon/Pune Notice : immediate to 30 days..!! Role and Responsibilities: Credit Risk /Fraud Risk Strategy: Role Details: The role is expected to use analytical tools to identify opportunities to grow overall assets as well as manage risk. It involves managing risk management framework across customer lifecycle acquisition, portfolio management and collections, across retail lending products. Responsibilities : - Design, analyze, monitor credit risk strategies for different loan products such as personal loans, auto loans, etc. - Identify the opportunity areas for portfolio growth and pro-actively communicate with stakeholders - Collaborate across other risk functions (example technology, product, etc.) to implement the analytical decisions - Understand existing underwriting rules, strategies and replicate them in business rules using SAS/SQL - Design and analyze income, employment, fraud verification strategies - Develop, maintain and improve risk policies, strategies, processes and procedures within the assigned function - Utilize application, bank and bureau information to derive business insights - KPI generation, tracking of risk and delinquency metrics for portfolios using SQL/Tableau

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Roles and Responsibilities Develop credit risk or fraud risk models using Python, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 5+ years of experience in Credit Risk Modelling/ Fraud Modeling or related field. Strong expertise in PD, LGD Model Development ,Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS/SQL; strong understanding of machine learning algorithms an added advantage.

**** CANDIDATES FROM TIER-1 INSITITUES(IIT, IIIT, NIT/BITS) ONLY MAY APPLY**** Role - Risk Analyst/Sr.Risk Analyst Location- Bengaluru Roles & Responsibilities: Conduct Portfolio Analysis and Monitor Portfolio delinquencies at a micro level, identification of segments, programs, locations, and profiles which are delinquent or working well. Helps to develop credit strategies across the customer lifecycle (acquisitions, management, fraud, collections, etc.) Identify trends by performing necessary analytics at various cuts for the Portfolio Provide analytical support to various internal reviews of the portfolio and help identify the opportunity to further increase the quality of the portfolio Work with Product team and engineering team to help implements the Risk strategies Work with Data science team to effectively provide inputs on the key model variables and optimise the cut off for various risk models Create a deep level understanding of the various data sources (Traditional as well as alternate) and optimum use of the same in underwriting Should have good understanding about various unsecured credit products Should be able to understand the business problems and helps convert them into the analytical solutions Required skills & Qualifications : Bachelor's degree in Computer Science, Engineering or related field from top tier (IIT/IIIT/NIT/BITS) 1-5 years of experience working in Data science/Risk Analytics/Risk Management with experience in building the models/Risk strategies or generating risk insights Proficiency in SQL and other analytical tools/scripting languages such as Python or R Deep understanding of statistical concepts including descriptive analysis, experimental design and measurement, Bayesian statistics, confidence intervals, Probability distributions Proficiency with statistical and data mining techniques Proficiency with machine learning techniques such as decision tree learning etc. Should have an experience working with both structured and unstructured data Fintech or Retail/ SME/LAP/Secured lending experience is preferred Interested, share your CVs on nahida.banu@neweraindia.com

Key highlights of the role are listed below (purely indicative and not limiting): Risk Strategy and Framework: Lead the establishment and continuous improvement of the company's risk appetite, tolerance levels, and key risk indicators (KRIs) aligned with business objectives. Identify and assess operational risks associated with technology, systems, processes, and people. Collaborate Cross-Functional Teams to implement cybersecurity risk management strategies and ensure data privacy and protection. Establish incident management and disaster recovery plans to handle operational disruptions. Credit Risk Management: Create a robust credit risk assessment and monitoring systems to assess customer creditworthiness and mitigate potential defaults or fraud risks. Lead portfolio performance and implement strategies to manage delinquency and charge-offs Risk Identification & Assessment: Lead risk identification, assessment, and measurement processes across all business units, ensuring the accurate identification of potential risks. Risk Mitigation & Control: Develop and implement strategies to mitigate identified risks, working with business leaders to ensure proper controls are in place Regulatory & Compliance Oversight: Ensure compliance with local and international regulations, including RBI guidelines, SEBI, and other relevant statutory bodies. Reporting & Communication: Provide regular risk reports to senior leadership, highlighting key risk exposures and mitigation strategies. Work cross-functionally to maintain governance and integrate risk management across departments. Crisis Management & Business Continuity: Lead the development and maintenance of a comprehensive business continuity and crisis management plan Team Leadership & Development: Build, lead, and mentor a high-performing risk management team, ensuring continuous development and effective collaboration Applicants should possess the following attributes: Strategic Thinking: Ability to anticipate risks and align risk management strategies with the organization's long-term objectives. Leadership: Strong leadership skills to manage a diverse team and influence cross-functional stakeholders in implementing risk frameworks. Analytical Expertise: High-level analytical capabilities to assess complex risk scenarios, conduct thorough analysis, and derive actionable insights. Regulatory Knowledge: Deep understanding of industry regulations and risk management best practices to ensure compliance and effective governance. Decision-Making: Strong, data-driven decision-making skills to manage crisis situations and recommend sound risk mitigation strategies

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Bangalore/Gurgaon/Pune Notice : immediate to 30 days..!! Role and Responsibilities: 3+ years exp in SQL, risk analytics, strategy Building, Credit risk, Financial risk, Portfolio risk tools Interact with the client to understand their requirements and communicate / brainstorm solutions. Strong knowledge in SQL queries & BI tools, Advance SQL Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems Participate in design of analysis and modeling approach with managers and modelers Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with clients data/ IT teams to resolve issues Use variety of analytical tools (SQL, Python, Tableau/Power BI) for insight generation & enabling the client with data driven decision making Reformulate highly technical information into concise, understandable terms for presentation

We are looking for a Risk Analytics Specialist to drive data-driven decision-making across key business functions, including Collections, Credit, Business, and Risk Management . The role involves analyzing portfolio trends, developing predictive models, and generating insights on Key Performance Indicators (KPIs) to support senior management. The ideal candidate will identify portfolio trends at different levels (branch, state, sub-product) and take preemptive actions to improve policies. They will also create scorecards and segmentation models to enhance portfolio quality and business efficiency. Key Requirements: Industry Experience: NBFC/HFC sector Position: Risk Analytics Experience: 5+ years Location: Jui Nagar, Navi Mumbai Salary: Competitive and as per industry standards Technical Skills: Extensive experience in risk analytics , covering Collections, Credit, Business, and Risk Management Proficiency in Python, Advanced Excel, and Alteryx (preferred) Strong expertise in predictive modeling, statistical analysis, and data-driven decision-making Ability to analyze and monitor portfolio trends at multiple levels and suggest proactive strategies Exceptional analytical, problem-solving, presentation, and communication skills

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Bangalore/Gurgaon/Pune Notice : immediate to 30 days..!! Role and Responsibilities: 3+ years exp in SQL, risk analytics, strategy Building, Credit risk, Financial risk, Portfolio risk tools Interact with the client to understand their requirements and communicate / brainstorm solutions. Strong knowledge in SQL queries & BI tools, Advance SQL Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems Participate in design of analysis and modeling approach with managers and modelers Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with clients data/ IT teams to resolve issues Use variety of analytical tools (SQL, Python, Tableau/Power BI) for insight generation & enabling the client with data driven decision making Reformulate highly technical information into concise, understandable terms for presentation

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Roles and Responsibilities Develop credit risk models using SAS, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 2+ years of experience in Credit Risk Modelling/Analytics or related field. Strong expertise in Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS; strong understanding of machine learning algorithms an added advantage.

Salary: 20 to 35 LPA Exp: 3 to 8 years Location: Bangalore/Gurgaon/Pune Notice : immediate to 30 days..!! Role and Responsibilities: 3+ years exp in SQL, risk analytics, strategy Building, Credit risk, Financial risk, Portfolio risk tools Interact with the client to understand their requirements and communicate / brainstorm solutions. Strong knowledge in SQL queries & BI tools, Advance SQL Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems Participate in design of analysis and modeling approach with managers and modelers Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with clients data/ IT teams to resolve issues Use variety of analytical tools (SQL, Python, Tableau/Power BI) for insight generation & enabling the client with data driven decision making Reformulate highly technical information into concise, understandable terms for presentation

Role summary Senior Consultant –Sustainability Location: Gurugram/ Mumbai The recruit will be responsible for research and advisory services in the Sustainability domain. Candidates with strong experience of working with companies in the areas sustainability and climate change experience in reporting, building sustainability and climate risk strategy for corporates are preferred. Candidates with a background in consulting or with leading corporates would be suitable for the position. Job requirements The candidate should well versed with the ESG, Sustainability and Climate risk with demonstrated experience of working with clients in order to facilitate business decisions. Good understanding of ESG principles, climate risks, global reporting standards and key issues impacting sustainable finance, investment decision-making process and ESG governance frameworks. Experience in sustainability reporting standards such as GRI, CSRD, IFRS, BRSR, etc. Experience of working with Multilaterals such as world bank, IFC, GIZ, Kfw on aspects of climate change mitigation, adaptation and decarbonization. Experience of working on climate adaptation disaster and resilience projects Sustainability research and analysis of companies across multiple sectors on ESG indicators. Exposure to sectors like Power, Manufacturing, Oil & Gas, Auto, Metals and Mining etc, from and ESG/Sustainability perspective is desired Ability to create detailed reports across multiple sectors on ESG indicators and linking the same to operating and financial metrics Engage with regulators and partners for creating value and alignment with strategic goals. Ability to deliver high impact presentations to clients and internal committees Participation in seminars/conferences and writing articles etc. to showcase thought leadership Experience At least 3-5 years in Sustainability domain in consulting Qualification B. Tech and/or MBA Skills Ability to think out of the box and come out with innovative solutions/ideas Ability to structure and write high-quality reports Excellent oral communication and presentation skills Positive attitude and ability to work well with peers and reportees within tight deadlines Collaboration with other internal teams focused on ESG and sustainability