18 Portfolio Optimization Jobs

As a Performance Analyst within the Performance and Risk Analytics Team at J.P. Morgan, you will be responsible for providing an overview and analysis of portfolio performance to institutional clients, such as investment managers and superannuation funds. Your role will involve delivering performance reports, including attribution, contribution, risk analysis, and other value-added services to ensure outstanding customer experience. You will collaborate with offshore locations to ensure the accurate and timely preparation of reports, while maintaining client relationships through query management and regular interaction. Additionally, you will review and update client procedures to enhance the month-end process efficiency and control. Participation in ad-hoc projects and standardized functions will be required, along with effective collaboration with team members and other departments. Key responsibilities include the timely and accurate delivery of performance reports, understanding the performance methodology used in the Performance system, and participating in training and development activities to enhance team skill sets and client service delivery. You will be expected to promote a culture of empowerment and decision-making, maintain documentation compliance, and demonstrate technical knowledge of investment instruments and markets. The successful candidate will possess strong analytical skills, attention to detail, and the ability to work independently while maintaining a strategic approach. A background in relevant performance analysis is advantageous, along with the capability to identify and implement training solutions, manage client relationships, and support staff through effective leadership and management. Your role will play a crucial part in ensuring client satisfaction and contributing to the overall success of the Performance and Risk Analytics Team at J.P. Morgan.,

As a Senior Manager / AVP Investments (Real Estate) at our esteemed client, a leading Asia-focused real estate conglomerate, you will play a key role in the development of large-scale office parks, data centers, and logistics assets across India and the GCC region. Backed by a robust institutional ecosystem, our client is actively expanding their investment portfolio across core and emerging real estate asset classes. With a minimum of 10+ years of experience in the Indian real estate market, you will bring a solid real estate background, exceptional financial modeling capabilities, and a track record of executing complex transactions. Preference will be given to candidates with exposure to GCC markets and backgrounds in REITs, private equity funds, developers, investment advisory firms, or international property consultancies (IPCs). Your responsibilities will include leading end-to-end real estate investment transactions, from sourcing to deal closure, building advanced financial models for investment underwriting and business planning, developing and executing asset management plans, monitoring asset performance, preparing investment memos and presentations, identifying value creation opportunities, and ensuring smooth transaction execution and compliance by liaising with legal, finance, and external advisors. Prior experience with GCC market transactions and a strong understanding of local regulatory environments will be advantageous in this role. The compensation offered for this position is 55 LPA (Fixed) with a 25% variable component. Join us in this exciting opportunity to drive performance and strategic portfolio optimization in the real estate investment sector.,

You are a highly skilled Quantitative Developer / Algorithmic Developer with 3 to 7 years of experience, seeking to join a team focused on building advanced, production-grade crypto trading systems. Your role involves developing and optimizing algorithmic trading strategies, designing robust infrastructure, integrating with exchanges, and converting research ideas into actionable trading logic. You should excel at strategy development, high-performance Python programming, and system design, with a deep interest in cryptocurrency markets. Your key responsibilities will include designing, building, and deploying crypto trading strategies across spot, futures, and derivatives. You will translate strategy logic into efficient Python code, work on data ingestion and pattern recognition, integrate machine learning models, interface with exchange APIs, manage data storage, optimize for latency and robustness, and develop internal tools for monitoring and strategy deployment. To excel in this role, you must have strong hands-on programming experience in Python, solid understanding of algorithmic trading systems, proficiency in PostgreSQL, Redis, and FastAPI, familiarity with crypto exchange APIs, and quantitative strategy concepts. You should be detail-oriented, have prior experience with strategy development, and possess a deep curiosity about crypto markets. Preferred qualifications include experience in systematic trading, knowledge of pattern detection systems, exposure to machine learning models applied to financial data, and an understanding of portfolio optimization and risk modeling. If you are passionate about crypto markets and want to contribute to the next generation of intelligent trading systems, this role offers an exciting opportunity to collaborate with quant researchers, infra engineers, and traders in shaping the future of crypto trading.,

As a member of Millenniums Global Risk Management Department, you will be part of a team responsible for identifying, measuring, monitoring, managing, and reporting on the risks associated with Millennium portfolios. Our Risk Management organization is tailored to the size, nature, and complexity of the firm's trading activities. We are currently seeking an inquisitive Risk Modeler to join us. In this role, you will play a crucial part in developing and maintaining the quantitative frameworks utilized by our portfolio managers and senior management teams. Your primary responsibilities will include developing and maintaining robust frameworks for factor modeling and risk measurements, with a strong focus on utilizing these models for portfolio optimization and risk and attribution analysis. Additionally, you will contribute to the creation and optimization of our quantitative framework by collaborating with technology, risk, portfolio, and business managers. You will also work closely with the Technology department to ensure the seamless transition of quantitative models into production environments, emphasizing accuracy and efficiency in day-to-day workflows. Furthermore, you will lead research into and implementation of various quantitative models, including factor models and complex risk assessments. To qualify for this role, you should have a degree in a quantitative major such as statistics, mathematics, or engineering. Professional experience of 1-4 years in a quantitative role within a financial organization or an advanced degree in a quantitative field is preferred. Strong programming skills are essential, with prior experience in Python (Polars and/or Pandas) or SQL. Proficiency in at least one compiled and statically typed language is advantageous, as is demonstrated programming ability on public repositories like GitHub. Previous experience in Equity Factor Risk modeling, quantitative models, and portfolio analytics is required. Familiarity with fundamental equity factor models such as MSCI/Barra, Axioma, or Bloomberg is highly desirable. Additionally, traits such as a sense of responsibility and integrity, intellectual curiosity, initiative, the ability to work independently, and effective ambiguity management are key for success in this role. If you are passionate about quantitative finance, portfolio management, and applied statistics, we encourage you to apply and be a part of our dynamic team.,

At Goldman Sachs, Engineers play a crucial role in making things possible. You will have the opportunity to connect people and capital with ideas, solve challenging engineering problems for clients, and contribute to building massively scalable software and systems. As part of our engineering teams, you will architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning in combination with financial engineering to turn data into actionable insights. The dynamic environment at Goldman Sachs requires innovative strategic thinking and immediate, real solutions. If you are someone who wants to explore the boundaries of digital possibilities, this is the place to start. Goldman Sachs Asset Management provides innovative investment solutions through a global, multi-product platform. As a top 10 global asset manager, we maintain a leadership position across asset classes and key market segments. Your success will be driven by collaborating with a global team of talented professionals to deliver innovative client solutions. As a Quantitative Strategist at Goldman Sachs, you will work closely with bankers, traders, and portfolio managers on complex financial and technical challenges. Your responsibilities will include developing quantitative analytics and signals using advanced statistical techniques, improving portfolio construction processes, and implementing fund management models. You will also be involved in building sustainable production systems, providing quantitative analytics to optimize investment structure, pricing, returns, and capital sourcing, and partnering globally to create quantitative modeling-based solutions. Basic qualifications for the role include a Bachelor's or Master's degree in a quantitative discipline, strong mathematical understanding, proficiency in coding solutions to quantitative problems, and experience in developing finance and statistics-based applications. Additionally, you should have strong written and oral communication skills, the ability to work in a team environment, and a passion for delivering technology solutions in a dynamic business environment. Goldman Sachs is committed to fostering diversity and inclusion within its workplace and beyond, providing opportunities for professional and personal growth. We offer benefits, wellness programs, personal finance offerings, and mindfulness programs to support our employees. If you are a candidate with special needs or disabilities, we are committed to finding reasonable accommodations during the recruiting process. Join us at Goldman Sachs, where we commit our resources to help clients, shareholders, and communities grow, and where every individual has opportunities to thrive both professionally and personally.,

You will be an integral part of our global markets team as a U.S. Treasury Trader, where your primary responsibility will be trading U.S. securities such as Treasury Bills, Notes, and Bonds across various maturity spectrums. Your role will demand a high level of accuracy, speed, and market insight to drive profitability while effectively managing risk within set limits. Your core responsibilities will include executing and managing trades in U.S. Treasuries while closely monitoring market liquidity, interest rate movements, and macroeconomic data. You will be expected to analyze and interpret economic indicators, yield curves, and monetary policy impacts to formulate trading strategies. Additionally, you will be required to develop quantitative models for pricing, risk assessment, and portfolio optimization. Collaboration with risk, compliance, and research teams will be essential to ensure regulatory alignment and trade integrity. Monitoring P&L, exposure, and maintaining disciplined position management will also fall under your purview. Your active participation in continuous market learning and strategic discussions with senior leadership will be highly valued. The ideal candidate for this role will hold a Masters degree in Mathematics from IIT with a consistent academic record of excellence (minimum 90% across all academic years). You should possess a strong understanding of fixed income markets, bond pricing, and duration/convexity risk. Proficiency in tools such as Bloomberg, advanced Excel, and programming languages like Python, R, or similar will be necessary. Being highly analytical, detail-oriented, and composed under time-sensitive conditions are key attributes we are looking for. Ethical conduct, accountability, and alignment with our culture of precision and performance are imperative. This position is tailored for individuals who not only meet high intellectual and technical standards but also bring a strategic mindset and ethical trading philosophy to the table. If you are ready to contribute your exceptional talent to a best-in-class trading desk within a global financial environment, we welcome your application.,

MSCI Services is seeking an experienced Analytics Client Service Specialist to join our Client Coverage organization in Mumbai. The MSCI Global Client Service team comprises experienced financial professionals who provide first-tier support to our global clients. In this role, you will be responsible for responding to a wide variety of methodology, usage, interpretational, and technical questions on both analytical and benchmark products. Client contact is primarily via telephone and email. You will work closely with Senior Client Service Members, Sales, and consultants to develop and maintain client relationships. Responsibilities: Provide premium service to assigned accounts. Answer detailed client inquiries about MSCI products and methodology . These queries may be related to: Market Risk (VaR, Stress testing, Back testing, Risk Attribution etc.) Liquidity Risk Credit Risk Portfolio Optimization Performance Attribution Participate in developing client relationships through proactive follow-up on issues raised. Maintain relationships by ensuring relevant product and model information is shared with clients. Lead regular calls with important accounts to cover outstanding issues and provide updates. Contribute to producing service reviews and service plans that support client renewal initiatives. Execute onboarding and training of clients. Provide 100% ownership (to resolution) of support issues from important accounts within the assigned segment. Provide full ownership of account servicing to become a subject matter expert on analytics products and services. Champion process changes to improve Client Experience and Efficiency. Qualifications: Excellent English written and oral communication skills ; ability to articulate complex concepts and methodologies to clients and senior management is a must. Client-facing skills an ability to quickly gain the client's trust; Client-Oriented demonstrate ownership for the client's issue, be seen as the Client's champion within MSCI. Execution well organized, asks questions, raises potential problems early. Problem-solving skills ; Technology proficient : Numerical analysis using Microsoft Excel. A self-starter and highly motivated, with the ability to work individually and within a team, and the ability to work in a fast-paced environment with constant interruptions. Candidate must be able to keep track of multiple issues without leaving issues unresolved. A numerate Bachelor's degree in Finance, Engineering, Mathematics, Statistics, Economics, or a related field ; CFA, FRM is a plus.

Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary : As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accentures platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | AccentureQualification Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

About the Role: OSTTRA India The Role: Professional Services Analysis The Team The OSTTRA Technology teamis composed of Capital Markets Technology professionals, who build,supportand protect the applications that operate our network. The technology landscapeincludeshigh-performance, high-volume applications as well as compute intensive applications,leveragingcontemporary microservices, cloud-based architectures The Impact: Together, we build, support, protect and manage high-performance, resilient platforms that process more than 100 million messages a day. Our services are vital to automated trade processing around the globe, managing peak volumes and working with our customers and regulators to ensure the efficient settlement of trades and effective operation of global capital markets Whats in it for you The Business Analyst [BA] will work with other teams and clients to agree the scope of any new business requirements and translate these requirements to a format that will be understood by the technical team for implementation. Initial focus will be on the legacy MarkitSERV TradeSTP product , this will expand to other products. This is an excellent opportunity to be part of a team based out of Gurgaon and to work with colleagues across multiple regions globally. Responsibilities Solution Design Account-abilities Escalate to the business strategy team and/or product team if any product or service enhancements may be required. Create any required message transformation specifications (In or outbound messages) Participate in gathering product enhancements requests from both clients and professional Services. Partner with Customer Success/Relationship Management team to gather any new client requirements for additional services or enhancements to existing services. Work with teams from legacy MarkitSERV, DealHub and Traiana to agree most appropriate solution for new message flows What Were Looking For: Domain Knowledge High level understanding of Financial Markets workflows Experience working with external customers Come with a desire to collaborate Able to handle multiple workstreams simultaneously Be adaptable to different scenarios The desire to develop your knowledge, skills, and abilities Familiar with services provided by Osttra advantage Technical Skills Proficient in Microsoft Office / Google Docs / Excel & Visio + Google Docs Understanding of XSLT Understanding of XML Understanding of FIX protocol Experience with Jira Experience with a PSA system, such as Kimble or Monday.com The Location: Gurgaon, India About Company Statement: OSTTRA is a market leader inderivatives post-trade processing, bringing innovation, expertise, processes and networks together to solve the post-trade challenges of global financial markets. OSTTRA operates cross-asset post-trade processing networks,providinga proven suite of Credit Risk, Trade Workflow and Optimisation services.Together these solutions streamline post-trade workflows, enabling firms to connect to counterparties and utilities, manage credit risk, reduce operationalrisk andoptimiseprocessingtodrive post-trade efficiencies. OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ yearsMarkitServ, Traiana, TriOptima and Reset. These businesses have an exemplary track record of developing and supporting critical market infrastructure and bring together an established community of market participants comprisingall trading relationships and paradigms, connectedusingpowerful integration and transformation capabilities. About OSTTRA Candidates should note that OSTTRAis an independentfirm, jointly owned by S&P Global and CME Group. As part of the joint venture, S&P Global providesrecruitmentservices to OSTTRA - however, successful candidates will be interviewed and directly employed by OSTTRA, joiningour global team of more than 1,200 posttrade experts. OSTTRA was formed in 2021 through the combination of four businesses that have been at the heart of post trade evolution and innovation for the last 20+ yearsMarkitServ, Traiana, TriOptima and Reset. OSTTRA is a joint venture, owned 50/50 by S&P Global and CME Group. With an outstanding track record of developing and supporting critical market infrastructure, our combined network connects thousands of market participants to streamline end to end workflows -from trade capture at the point of execution, through portfolio optimization, to clearing and settlement. Joining the OSTTRA team is a unique opportunity to help build a bold new business with an outstanding heritage in financial technology, playing a central role in supporting global financial markets.Learn more atwww.osttra.com. Whats In It For You Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), BSMGMT203 - Entry Professional (EEO Job Group)

Quantitative Strategists Quantitative strategists work in close collaboration with bankers, traders, and portfolio managers on complex financial and technical challenges. We work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as we'll as portfolio management platform. Responsibilities As a quantitative strategist your responsibilities will include Working with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and implement fund management models to track longer term portfolio performance Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment Provide quantitative analytics to optimize investment structure, pricing, returns and capital sourcing Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions Prioritize across competing problems, communicate with key stakeholders Basic Qualifications Bachelors / masters degree in a quantitative discipline with quantitative analytics/ research, financial modeling experience Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, regression analysis, and other numerical techniques Strong fundamentals in design and analysis of algorithms, data structures Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications and proficiency in at least one programming language such as Slang, Python, C, C++ Strong written, oral communication skills and ability to work in a team environment Ability to multi-task and prioritize work effectively Passion and self-motivation to deliver technology solutions in a dynamic business environment

Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary : As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accentures platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | AccentureQualification Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

Responsibilities: Project Oversight: Lead, manage, and coordinate engineering activities for medium and large-scale fertilizer, chemical, petrochemical, refinery projects, ensuring timely and cost-effective completion while adhering to industry standards and safety regulations. Team Leadership: Supervise and mentor a multidisciplinary team of engineers, ensuring high performance, technical excellence, and alignment with project objectives. Technical Expertise: Provide technical leadership across multiple engineering disciplines (mechanical, electrical, civil, instrumentation, etc.) and ensure that all technical specifications and design standards are met. Project Planning Execution: Develop and implement engineering project plans, schedules, and budgets. Oversee engineering design, procurement, construction, commissioning, and startup phases. Stakeholder Management: Collaborate with internal and external stakeholders, including project owners, contractors, suppliers, and regulatory authorities, to ensure smooth project execution and resolve any technical issues. Risk Management: Identify potential risks during the engineering design and execution phases, implement mitigation strategies, and proactively manage project risks. Quality Control: Ensure quality assurance and control standards are met throughout the project, managing project deliverables to the highest technical and safety standards. Regulatory Compliance: Ensure all engineering activities comply with local, national, and international standards, regulations, and safety protocols. Budget Cost Control: Oversee project budgets, ensuring cost efficiency and optimal resource allocation while maintaining scope, schedule, and safety standards. Continuous Improvement: Foster a culture of innovation and continuous improvement, providing insights on new technologies, methodologies, and best practices in the oil gas, chemical, and petrochemical industries.

Summary: We are seeking a motivated and experienced individual to join the HCM Strategy team as a Vice President in Digital Strategy & Automation. The HCM Strategy team manages transformational initiatives enhancing our employee experience, driving quantifiable automation benefits, and promoting resiliency to serve our stakeholders within HCM and across the firm. Your role as a Vice President within this team requires a blend of strategic thinking, technical expertise, analytical abilities, and exceptional leadership qualities to drive business intelligence, automation, and AI initiatives across all functions of Human Capital Management. This role is pivotal in driving digital transformation and enhancing operational efficiency within Human Capital Management. The ideal candidate will have 5-7 years of experience in business intelligence, automation, data analytics, and AI. They will demonstrate a proven record to drive to impactful solutions and support organizational change through digital strategy and task automation. Responsibilities: Business Intelligence and Automation: Lead the development and deployment of business intelligence applications, ensuring alignment with strategic business objectives. Synthesize complex analysis results into actionable insights and recommendations, influencing strategic business decisions. Proactively identify, analyze, and resolve complex systems and algorithm performance trends or issues, developing mitigation strategies. AI and Data Science: Develop and implement AI-driven solutions to enhance business processes and decision-making. Utilize data science methodologies to analyze large datasets and generate predictive models. Collaborate with data scientists and engineers to integrate AI solutions into existing systems. Stay updated on emerging AI and data science trends and technologies, incorporating best practices. Project Management: Oversee project planning, execution, and reporting, ensuring adherence to the project lifecycle. Manage risks and dependencies proactively, ensuring successful adoption of automation products. Mentor and guide other solution experts and advisors, fostering a collaborative environment and promoting knowledge sharing. Innovation and Strategy: Champion the incubation of new low-code applications, identifying opportunities for innovation and driving adoption. Lead complex data analysis and exploratory data analysis initiatives, ensuring adherence to best practices. Collaborate strategically with Engineering to ensure automation solutions align with the firm's technology architecture strategy. Stakeholder Engagement: Lead and manage stakeholder engagements, identifying and cultivating new low-code opportunities. Actively seek out and evaluate information and opportunities from internal and external sources, incorporating best practices. Qualifications: Basic Qualifications: Bachelor's degree or equivalent in Science, Technology, Engineering, or Mathematics. 5-7 years of experience in business intelligence, automation, and data analytics. Proficiency in digital strategy, business intelligence, automation, and artificial intelligence methodologies. Relevant experience in Consumer, Financial, Social Media, Tech, or FinTech sectors. Strong problem-solving and analytical skills. Excellent written and verbal communication skills. Ability to work independently and as part of a team. Knowledge of data-related emerging trends and issues, including financial regulation. Preferred Qualifications: Solution Delivery Experience with implementing according to solution delivery frameworks such as Agile, Sig Sigma, Waterfall, etc. Able to contextualize analysis in Confluence, JIRA, MS applications etc Business Intelligence Working knowledge of analytics applications (i.e Alteryx, Tableau, Qlik, Power BI) Working knowledge of workflow applications (e.g. MS Power Platform, Appian, unqork, ServiceNow) Working knowledge of database tools (e.g. Mongo DB, Snowflake, Elastic, MS SQL) Artificial Intelligence Working knowledge of artificial intelligence programming languages (e.g. Python, R) Working knowledge of artificial intelligence computational packages (e.g. PyCharm, Scikit-Learn) Working knowledge of artificial intelligence platforms including robotics (e.g. Automation Anywhere, Anaconda, GitHub/Lab, Jupyter Hub, UiPath)

Quantitative strategists work in close collaboration with bankers, traders, and portfolio managers on complex financial and technical challenges. We work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as well as portfolio management platform. Responsibilities As a quantitative strategist your responsibilities will include Working with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and implement fund management models to track longer term portfolio performance Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment Provide quantitative analytics to optimize investment structure, pricing, returns and capital sourcing Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions Prioritize across competing problems, communicate with key stakeholders Basic Qualifications Bachelor's / master's degree in a quantitative discipline with quantitative analytics/ research, financial modeling experience Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, regression analysis, and other numerical techniques Strong fundamentals in design and analysis of algorithms, data structures Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications and proficiency in at least one programming language such as Slang, Python, C, C++ Strong written, oral communication skills and ability to work in a team environment Ability to multi-task and prioritize work effectively Passion and self-motivation to deliver technology solutions in a dynamic business environment goldmansachs.com/careers

Quantitative strategists work in close collaboration with bankers, traders, and portfolio managers on complex financial and technical challenges. We work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as well as portfolio management platform. Responsibilities As a quantitative strategist your responsibilities will include Working with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and implement fund management models to track longer term portfolio performance Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment Provide quantitative analytics to optimize investment structure, pricing, returns and capital sourcing Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions Prioritize across competing problems, communicate with key stakeholders Basic Qualifications Bachelor's / master's degree in a quantitative discipline with quantitative analytics/ research, financial modeling experience Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, regression analysis, and other numerical techniques Strong fundamentals in design and analysis of algorithms, data structures Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications and proficiency in at least one programming language such as Slang, Python, C, C++ Strong written, oral communication skills and ability to work in a team environment Ability to multi-task and prioritize work effectively Passion and self-motivation to deliver technology solutions in a dynamic business environment goldmansachs.com/careers

What We Do At Goldman Sachs, our Engineers don't just make things we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering, which is comprised of core and business-aligned teams, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities Start here. Asset Management Goldman Sachs Asset Management delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. We are a top 10 global asset manager with a leadership position across asset classes and key market segments. Our success is driven by a global team of talented professionals who collaborate to deliver innovative client solutions. Quantitative Strategists Quantitative strategists work in close collaboration with bankers, traders, and portfolio managers on complex financial and technical challenges. We work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as well as portfolio management platform. Responsibilities As a quantitative strategist your responsibilities will include Working with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and implement fund management models to track longer term portfolio performance Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment Provide quantitative analytics to optimize investment structure, pricing, returns and capital sourcing Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions Prioritize across competing problems, communicate with key stakeholders Basic Qualifications Bachelor's / master's degree in a quantitative discipline with quantitative analytics/ research, financial modeling experience Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, regression analysis, and other numerical techniques Strong fundamentals in design and analysis of algorithms, data structures Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications and proficiency in at least one programming language such as Slang, Python, C, C++ Strong written, oral communication skills and ability to work in a team environment Ability to multi-task and prioritize work effectively Passion and self-motivation to deliver technology solutions in a dynamic business environment goldmansachs.com/careers

We are seeking highly skilled and experienced Senior Investment Strategists / Lead Fund Advisors to lead the development and execution of innovative investment strategies. The ideal candidates will combine deep expertise in fund management with a strong understanding of AI/ML applications in finance to build scalable fintech solutions. Key Responsibilities: Lead the design, development, and execution of investment models and mutual fund recommendation strategies. Collaborate with AI and machine learning teams to integrate advanced analytics into investment decision-making. Ensure all investment strategies comply with relevant regulatory requirements (SEBI/AMFI). Provide expert advisory on portfolio optimization and risk management. Mentor junior team members and contribute to building a high-performance investment advisory team. Stay updated on market trends, regulatory changes, and emerging fintech innovations to maintain a competitive edge. Qualifications & Experience: CFA Charterholder OR CFP certification (mandatory). Advanced degree in Finance preferred. Minimum 5 years of relevant experience in investment strategy, fund management, or mutual fund advisory. Proven track record of managing portfolios and delivering data-driven investment solutions. Strong expertise in financial modeling, portfolio analytics, and quantitative analysis. Knowledge of AI/ML applications in finance is highly desirable. Deep understanding of regulatory compliance frameworks (SEBI/AMFI). Key Skills: Investment Strategy & Fund Management Mutual Fund Advisory Portfolio Optimization Financial Modeling & Analytics Regulatory Compliance (SEBI/AMFI) Collaboration with AI/ML Teams Data-Driven Decision Making

About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary :As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accenture's platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Qualifications Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)