247 Quantitative Analysis Jobs - Page 8

Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. At Goldman Sachs, our Engineers don t just make things - we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build 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. Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking. Want to push the limit of digital possibilitiesStart here. Goldman Sachs Asset Wealth Management As one of the worlds leading asset managers, our mission is to help our clients achieve their investment goals. To best serve our clients diverse and evolving needs, we have built our business to be global, broad and deep across asset classes, geographies and solutions. Goldman Sachs Asset Wealth Management is one of the worlds leading asset management institutions. AWM delivers innovative investment solutions managing close to Two Trillion US Dollars on a global, multi-product platform. In addition to traditional products (e.g. Equities, Fixed Income) our product offering also includes Hedge Funds, Private Equity, Fund of Funds, Quantitative Strategies, Fundamental Equity and a Multi-Asset Pension Solutions Business. Software is engineered in a fast-paced, dynamic environment, adapting to market and customer needs to deliver robust solutions in an ever-changing business environment. AM Data Engineering builds on top of cutting edge in-house and cloud platforms complimented with a strong focus on leveraging open source solutions. Business Overview The External Investing Group ( XIG ) provides investors with investment and advisory solutions across leading private equity funds, hedge fund managers, real estate managers, public equity strategies, and fixed income strategies. XIG manages globally diversified programs, targeted sector-specific strategies, customized portfolios, and a range of advisory services. Our investors access opportunities through new fund commitments, fund-of-fund investments, strategic partnerships, secondary-market investments, co-investments, and seed-capital investments. With over 350 professionals across 11 offices around the world, XIG provides manager diligence, portfolio construction, risk management, and liquidity solutions to investors, drawing on Goldman Sachs market insights and risk management expertise. We extend these global capabilities to the world s leading sovereign wealth funds, pension plans, governments, financial institutions, endowments, foundations, and family offices, for which we invest or advise on over $300 billion of alternative investments, public equity strategies, and fixed income strategies. What We Do Within Asset Management, Strategists (also known as Strats ) play important roles in research, valuation, portfolio construction, and risk management analytics. A Strategist will apply quantitative and analytical methods to come up with solutions that are accurate, robust, and scalable. Strats are innovators and problem-solvers, building novel and creative solutions for manager selection, portfolio construction, and risk management. You will develop advanced computational models, architectures, and applications to meet the challenges of a rapidly growing and evolving business. Strats collaborate across the business to develop solutions. These daily interactions with other team members across geographies demand an ability to communicate clearly about complex financial, business, and mathematical concepts. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Basic Qualifications Outstanding background in a quantitative discipline, with excellent analytical, quantitative, and problem-solving skills, and demonstrated abilities in research and data visualization Programming expertise in a scripting language (e.g. Python, R, Matlab) Strong general and technical communication skills, with an ability to effectively articulate complex financial and mathematical concepts Creativity and problem-solving skills Ability to work independently and in a team environment 3+ years of applicable experience

Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. At Goldman Sachs, our Engineers don t just make things - we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build 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. Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking. Want to push the limit of digital possibilitiesStart here. Goldman Sachs Asset Wealth Management As one of the worlds leading asset managers, our mission is to help our clients achieve their investment goals. To best serve our clients diverse and evolving needs, we have built our business to be global, broad and deep across asset classes, geographies and solutions. Goldman Sachs Asset Wealth Management is one of the worlds leading asset management institutions. AWM delivers innovative investment solutions managing close to Two Trillion US Dollars on a global, multi-product platform. In addition to traditional products (e.g. Equities, Fixed Income) our product offering also includes Hedge Funds, Private Equity, Fund of Funds, Quantitative Strategies, Fundamental Equity and a Multi-Asset Pension Solutions Business. Software is engineered in a fast-paced, dynamic environment, adapting to market and customer needs to deliver robust solutions in an ever-changing business environment. AM Data Engineering builds on top of cutting edge in-house and cloud platforms complimented with a strong focus on leveraging open source solutions. Business Overview The External Investing Group ( XIG ) provides investors with investment and advisory solutions across leading private equity funds, hedge fund managers, real estate managers, public equity strategies, and fixed income strategies. XIG manages globally diversified programs, targeted sector-specific strategies, customized portfolios, and a range of advisory services. Our investors access opportunities through new fund commitments, fund-of-fund investments, strategic partnerships, secondary-market investments, co-investments, and seed-capital investments. With over 350 professionals across 11 offices around the world, XIG provides manager diligence, portfolio construction, risk management, and liquidity solutions to investors, drawing on Goldman Sachs market insights and risk management expertise. We extend these global capabilities to the world s leading sovereign wealth funds, pension plans, governments, financial institutions, endowments, foundations, and family offices, for which we invest or advise on over $300 billion of alternative investments, public equity strategies, and fixed income strategies. What We Do Within Asset Management, Strategists (also known as Strats ) play important roles in research, valuation, portfolio construction, and risk management analytics. A Strategist will apply quantitative and analytical methods to come up with solutions that are accurate, robust, and scalable. Strats are innovators and problem-solvers, building novel and creative solutions for manager selection, portfolio construction, and risk management. You will develop advanced computational models, architectures, and applications to meet the challenges of a rapidly growing and evolving business. Strats collaborate across the business to develop solutions. These daily interactions with other team members across geographies demand an ability to communicate clearly about complex financial, business, and mathematical concepts. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Basic Qualifications Outstanding background in a quantitative discipline, with excellent analytical, quantitative, and problem-solving skills, and demonstrated abilities in research and data visualization Programming expertise in a scripting language (e.g. Python, R, Matlab) Strong general and technical communication skills, with an ability to effectively articulate complex financial and mathematical concepts Creativity and problem-solving skills Ability to work independently and in a team environment 3+ years of applicable experience

Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. At Goldman Sachs, our Engineers don t just make things - we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build 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. Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking. Want to push the limit of digital possibilitiesStart here. Goldman Sachs Asset Wealth Management As one of the worlds leading asset managers, our mission is to help our clients achieve their investment goals. To best serve our clients diverse and evolving needs, we have built our business to be global, broad and deep across asset classes, geographies and solutions. Goldman Sachs Asset Wealth Management is one of the worlds leading asset management institutions. AWM delivers innovative investment solutions managing close to Two Trillion US Dollars on a global, multi-product platform. In addition to traditional products (e.g. Equities, Fixed Income) our product offering also includes Hedge Funds, Private Equity, Fund of Funds, Quantitative Strategies, Fundamental Equity and a Multi-Asset Pension Solutions Business. Software is engineered in a fast-paced, dynamic environment, adapting to market and customer needs to deliver robust solutions in an ever-changing business environment. AM Data Engineering builds on top of cutting edge in-house and cloud platforms complimented with a strong focus on leveraging open source solutions. Business Overview The External Investing Group ( XIG ) provides investors with investment and advisory solutions across leading private equity funds, hedge fund managers, real estate managers, public equity strategies, and fixed income strategies. XIG manages globally diversified programs, targeted sector-specific strategies, customized portfolios, and a range of advisory services. Our investors access opportunities through new fund commitments, fund-of-fund investments, strategic partnerships, secondary-market investments, co-investments, and seed-capital investments. With over 350 professionals across 11 offices around the world, XIG provides manager diligence, portfolio construction, risk management, and liquidity solutions to investors, drawing on Goldman Sachs market insights and risk management expertise. We extend these global capabilities to the world s leading sovereign wealth funds, pension plans, governments, financial institutions, endowments, foundations, and family offices, for which we invest or advise on over $300 billion of alternative investments, public equity strategies, and fixed income strategies. What We Do Within Asset Management, Strategists (also known as Strats ) play important roles in research, valuation, portfolio construction, and risk management analytics. A Strategist will apply quantitative and analytical methods to come up with solutions that are accurate, robust, and scalable. Strats are innovators and problem-solvers, building novel and creative solutions for manager selection, portfolio construction, and risk management. You will develop advanced computational models, architectures, and applications to meet the challenges of a rapidly growing and evolving business. Strats collaborate across the business to develop solutions. These daily interactions with other team members across geographies demand an ability to communicate clearly about complex financial, business, and mathematical concepts. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Basic Qualifications Outstanding background in a quantitative discipline, with excellent analytical, quantitative, and problem-solving skills, and demonstrated abilities in research and data visualization Programming expertise in a scripting language (e.g. Python, R, Matlab) Strong general and technical communication skills, with an ability to effectively articulate complex financial and mathematical concepts Creativity and problem-solving skills Ability to work independently and in a team environment 6+ years of applicable experience

Managing portfolios in line with client guidelines, internal investment policies, and regulatory constraints. Develop investment judgment and expertise, with expectation of being able to perform key portfolio management responsibilities within a few months after joining. Trading across asset classes (equities, fixed income, currencies, alternatives) and instruments (futures, forwards, ETFs, options, swaps, funds). Working closely with senior PMs to execute strategic and dynamic investment ideas with consistency and scale, including determining optimal instruments to trade based on client-specific, regulatory and market- related considerations. Be a part of Portfolio Management team and contribute to monitoring, evaluating, and managing risks and opportunities of the underlying investments. Creating investment and portfolio construction frameworks across asset classes, enhancing expertise in terms of investment alternatives. Managing portfolio risk across various investment vehicles and product desks, including exposure, currency and cash management, investment manager/vehicle oversight. Structuring trades across asset classes to manage the portfolio in line with hedging and flow considerations, in collaboration with AWM s trading desk. Managing derivative-based overlay strategies to enhance risk management profile of overall portfolios and/or capture market risk premia. Reviewing new portfolio design and investment strategies for investor suitability, with specific focus on our ability to effectively manage and implement such strategies. Providing PMR s review on new portfolio activities, investment proposals, trading and risk management processes. Participating and at times serving as a project lead in complex portfolio events, including onboarding of new client mandates, fund launches and portfolio restructurings, requiring coordination across multiple internal investment teams throughout the firm, as well as external managers and trading counterparties. Leading small to medium-sized projects aimed at enhancing trading and risk management processes, infrastructure and analytics to further empower the team s oversight over portfolio management activities and mitigate trading risks. Basic Qualifications: Masters Degree or equivalent preferred 1-3 years of investment management experience, with successful track record of employing qualities and functional abilities referenced above Experience in working within a dynamic, global team; demonstrated leadership potential Advanced degree or CFA designation preferred Quantitative analysis and skillset Detail-oriented and organized with the ability to manage multiple tasks in a fast-paced environment A self-starter able to work independently and thrive in a team environment Consistently positive attitude and eagerness to work in a team-centric environment Intelligent, creative, with good problem-solving abilities Risk management and control orientation Excellent project management skills Excellent writing and communication skills Strong interest in the financial markets, good investment awareness, intermediate or advanced knowledge of asset allocation principles and of factor investing approaches Ability to communicate investment strategies and rationales to audiences of varying levels of sophistication Proficient in Excel and PowerPoint; Bloomberg, Reuters or financial data systems knowledge preferred.

Requirements Undergraduate or graduate degree in quantitative fields, including but not limited to computer science, mathematics, engineering Familiar with commonly used quantitative techniques, including but not limited to statistics, linear algebra, numerical analysis, calculus Solid understanding of financial market. Working experience with a wide range of asset classes financial instruments is strongly preferred 5+ year of experience in finance sector (buyside business a big plus) Experience in building software in a production environment. Solid working knowledge of programming languages, data structures and algorithms Prior experience using open-source tools and frameworks is not required but nice to have. Must be willing to learn new technologies and have a passion of using technologies to solve real life problems Leadership skill and managerial experience is highly valued

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 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

What We Do Within Asset Management, Strategists (also known as Strats ) play important roles in research, valuation, portfolio construction, and risk management analytics. A Strategist will apply quantitative and analytical methods to come up with solutions that are accurate, robust, and scalable. Strats are innovators and problem-solvers, building novel and creative solutions for manager selection, portfolio construction, and risk management. You will develop advanced computational models, architectures, and applications to meet the challenges of a rapidly growing and evolving business. Strats collaborate across the business to develop solutions. These daily interactions with other team members across geographies demand an ability to communicate clearly about complex financial, business, and mathematical concepts. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Basic Qualifications Outstanding background in a quantitative discipline, with excellent analytical, quantitative, and problem-solving skills, and demonstrated abilities in research and data visualization Programming expertise in a scripting language (e.g. Python, R, Matlab) Strong general and technical communication skills, with an ability to effectively articulate complex financial and mathematical concepts Creativity and problem-solving skills Ability to work independently and in a team environment 1+ years of applicable experience

Strong academic in a relevant field - Mathematics, Engineering, Computer Science or Physics, including a quantitative understanding of statistics and probability Strong programming skills in a modern programming language (C++, Python, Java or equivalent language) and familiarity with object-oriented design principles Ability to work as part of a global team and deliver results quickly Previous practical experience in solving mathematical / statistical / machine learning problems or data engineering and relevant infrastructure buildout Comfortable working on multiple projects, demonstrating initiative and showing commercial impact Preferred Qualifications Strong written and verbal communication skills Knowledge of financial markets, in particular, understanding of equities and equities financing products, and financial mathematics is a plus Successful track record of building scalable systems with clearly defined SLAs in a financial setting. Entrepreneurial spirit

What We Do Within Asset Management, Strategists (also known as Strats ) play important roles in research, valuation, portfolio construction, and risk management analytics. A Strategist will apply quantitative and analytical methods to come up with solutions that are accurate, robust, and scalable. Strats are innovators and problem-solvers, building novel and creative solutions for manager selection, portfolio construction, and risk management. You will develop advanced computational models, architectures, and applications to meet the challenges of a rapidly growing and evolving business. Strats collaborate across the business to develop solutions. These daily interactions with other team members across geographies demand an ability to communicate clearly about complex financial, business, and mathematical concepts. We look for creative collaborators who evolve, adapt to change, and thrive in a fast-paced global environment. Basic Qualifications Outstanding background in a quantitative discipline, with excellent analytical, quantitative, and problem-solving skills, and demonstrated abilities in research and data visualization Programming expertise in a scripting language (e.g. Python, R, Matlab) Strong general and technical communication skills, with an ability to effectively articulate complex financial and mathematical concepts Creativity and problem-solving skills Ability to work independently and in a team environment 2+ years of applicable experience

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.

Key Responsibilities: Develop, design and build scalable and modular software components for quantitative analysis and financial modeling and investment analytics for risk models, and high-volume complex data processing pipelines. Ensure quality & performance of research data pipeline and curated new premium content using different approaches Conduct research on additional content / data which can add value to models and or investment processes Perform & implement complex quantitative calculations with high accuracy and performance Collaborate with modelers, content experts to develop content expertise and implement optimized and performant solutions Apply statistical methods to real-world financial data & climate data to derive business insights Optimize algorithms for time-series data analysis and financial computations Skills & Qualifications: Bachelor or master s level education in Computer Science, Engineering, or a related discipline Minimum 3+ years of experience in Python-based full scale production software development and design Formidable analytical, problem-solving, and production troubleshooting skills Understanding of climate/ESG vendors, climate datasets, and standards A passion for providing fundamental software solutions for highly available, performant full stack applications with a Student of Technology attitude Passion to work in a team-environment, multitasking, and effective communication skills Knowledge of software development methodologies (analysis, design, development, testing) and basic understanding of Agile / Scrum methodology and practices Ability and willingness to learn fast, multi-task, self-motivate and pick up new things easily Ability to work independently and efficiently in a fast-paced and team-oriented environment Good to Have Understanding of Agile work environments, including knowledge of GIT, CI/CD. Knowledge of investment process, climate risk particularly transition risk & decarbonization analytics. Exposure to curate unstructured data using NLP / Gen AI /LLM CFA/FRM preferred

You'll work in partnership with the first line of defense and businesses in applying effective risk management, and anticipating and assessing the potential impacts of risk across By liaising closely with a range of stakeholders, you'll have an opportunity to raise your profile across the organization You'll play a key role in delivering risk management initiatives that support the effective application of theoperational risk framework and conduct risk obligations, with an opportunity to improve theunderstandingand effective management of risk across. Developing and supporting the interrogation and analysis of relevant management information, supporting effective risk management on the part of your stakeholders Building and maintaining trusted working partnerships across a,to inform and gather intelligence on emerging and future risks and controls Responsible for the analysis of risk reporting and metrics used to inform decision making Supporting and regularly engaging with relevant stakeholders including second and third line of defense, and risk teams Deliver, evidence & continually improve a high level of assurance in the pricing methodologies and levels The skills you'll need: To be successful in this role, you'll demonstrate knowledge of how a large financial services organizationoperates and bring experience of working in a first or second line of defense risk role. A clear track record of achievement and delivery in applying risk and control management in an operational and strategic context Knowledge of risk assessment and scenario analysis methodologies Knowledge of operational risk management Excellent communication skills both written and verbal and the ability to influence at all levels Strong proficiency in MS-Excel and a demonstrable mathematical understanding of linear and Interest rate derivatives, Bonds and Repos, Forwards, Spot FX.

Join us as a Head of Quant Analytics and Quant Development India, Director In this highly visible role, you ll oversee both the Quant Analytics and Quant Development teams The work you do will be crucial in advancing the quantitative analytics framework and delivering innovative solutions, focussed on the core analytics library (SAF) and the Python-based platform (SoDA) You ll enjoy considerable stakeholder engagement, working across multiple business areas to ensure the effective application of quantitative solutions across various domains Were offering the role at director level What youll do As a Quantitative Development Director, you ll be responsible for leading specialist teams, fostering a culture of collaboration, innovation, and excellence while effectively managing team performance. You ll be developing and implementing quantitative solutions that support the trading business and supporting functions. In doing so, you ll ensure alignment with business objectives and regulatory requirements. Collaborating closely with cross-functional stakeholders including Front Office Trading, Risk Management, and Technology teams, you ll ensure the effective application of quantitative solutions. You ll also: Spearhead the development of solutions within SAF and SoDA, ensuring seamless integration with business needs Collaborate with key stakeholders to define project requirements, timelines, and deliverables, ensuring alignment with business goals and prioritising high-impact initiatives Own and guide the technical roadmap for quantitative initiatives, remaining informed of emerging mathematical techniques and technologies applicable to the finance domain Ensure optimal performance and stability of the quantitative models and systems developed by the team, adhering to best practices in model governance and lifecycle management Liaise with Trading, Market Risk, and Counterparty Risk departments to identify analytics needs and ensure the successful application of quantitative techniques in practical scenarios The skills youll need We re looking for someone with a thorough understanding of mathematical modelling, exceptional programming skills, and the ability to translate complex quantitative concepts into actionable insights. Along with proficiency in programming languages such as C++ and Python, you ll have experience with quantitative libraries and frameworks. Familiarity with cloud computing environments such as Google Cloud Platform would be beneficial. You ll also demonstrate: Domain knowledge with an in-depth understanding of investment banking, market risk, and credit risk Familiarity with xVA methodologies and regulatory frameworks Exceptional capabilities in quantitative analysis and development, coupled with a proven track record of applying these skills in a financial context Strong leadership skills and experience managing diverse teams, navigating complex project environments, and driving successful outcomes through effective communication and interpersonal skills Hours 45 Job Posting Closing Date: 16/06/2025

Required Abilities: Problem Sensitivity The ability to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing there is a problem. Oral Comprehension The ability to listen to and understand information and ideas presented through spoken words and sentences. Oral Expression The ability to communicate information and ideas in speaking so others will understand. Speech Clarity The ability to speak clearly so others can understand you. Written Comprehension The ability to read and understand information and ideas presented in writing. Required Work Experience : Regional Director Degree : Bachelor of Management Studies - BMS | Bachelor of Arts - BA | Bachelor of Business Administration - BBA | Master of Business Administration - MBA Required Knowledge : English Language Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar. Mathematics Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications. Customer and Personal Service Knowledge of principles and processes for providing customer and personal services. This includes customer needs assessment, meeting quality standards for services, and evaluation of customer satisfaction. Personnel and Human Resources Knowledge of principles and procedures for personnel recruitment, selection, training, compensation and benefits, labor relations and negotiation, and personnel information systems. Administration and Management Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources. Required Skills : Plan Administration, Regional Development, Sales And Operations Planning, Territory Development Primary Responsibility : Maintain an individual membership within the organization Provide constructive feedback and personal views on time and when appropriate. Guide the overall direction of the appropriate region.

Develop deep knowledge Structured Products (RMBS, CMBS, CLO) & Vichara's platform scope out improvements, mitigate risk, troubleshooting. Create/Monitor Daily Monitoring Dashboards on Power BI and in SQL. Required Candidate profile 3+ years of work exp in investment systems and fixed income asset class & analytics and experience working with loan systems (e.g. WSO, Virtus, iLevel) and or Broadridge Sentry OMS & Geneva

Description Job Description Position : Revenue Operations Analyst Reports To : Revenue Operations Senior Manager Location : Hyderabad , India Position Summary The Revenue Operations Analyst is responsible for driving sales process effectiveness and productivity . This role will support the structure and integrity of the revenue teams data, including Customer data, annual recurring revenue (ARR), and prospecting target books for account executives. The Revenue Operations Analyst will also support the direct sales team by creating reports , business cases, and ad hoc analyses . The successful candidate will have a n entrepreneurial and self-starter mentality with a data driven approach to analyzing business challenges and results. Essential Duties & Responsibilities Develop and maintain reporting and dashboards to track sales performance and productivity Establish effective analysis of sales force trends and performance in an effort to identify greater efficiencies and better manage and understand process bottlenecks and inconsistencies throughout the entire sales lifecycle Assist with various initiatives to drive new business, renew and grow current customer base O versee the data structure and data integrity of critical information including C ustomer data, annual recurring revenue (ARR), and prospecting target books of business. Perform weekly audits of direct sales team documentation in the CRM to ensure full compliance with documentation expectations and reporting output provided to leadership is accurate Coordinate revenue forecasting to ensure high levels of quality, accuracy and consistency Assist with maintaining the functional areas of data management, forecasting, contacts, leads, opportunities, dashboards and reports, and ensuring data integrity throughout our CRM system Build business cases to evaluate new business and client retention models Assess client and sales trends, feedback, and market movement; consolidate into recommendations for the executive team Create sales presentations, business cases, and analyses for direct sales custom tailored to specific new business and renewal opportunities Perform quantitative analysis, including building and organization large databases; synthesize findings and summarize a broad range of data inputs into frameworks that enable clear communication of data and insights Develop presentations and models for various growth-related scenarios such as sales productivity improvements, customer pricing, channel growth, alternative pricing and contract structures , etc. Develop reporting and analysis of sales and marketing results and strategies to recommend changes to optimize performance Assist the Revenue Operations Senior Manager with growth initiatives to increase the sales pipeline, build the prospect database and achieve revenue goals Characteristics: Excellent analytical and organization skills Exceptional attention to detail Excellent written and oral communication skills, including presentations Excellent proficiency with Microsoft Office Suite (Excel, PowerPoint and Word) Proficiency with PowerBI Demonstrates the ability to identify and solve problems quickly, decisively, and independently Ability to multi-task and prioritize workload in a fast-paced environment Professional mannerisms and appearance Education & Experience Bachelor s degree with a focus in business (preferred) 5 + years of experience in sales operations or similar analytical-based role supporting top line growth Hiring Policy This job description reflects the present requirements of the position. As duties and responsibilities change and develop, the job description will be reviewed and subject to amendment. Reveal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Reveal does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Reveal considers candidates with existing visas, but does not sponsor new visa applications.

3 - 6 years of experience performing quantitative analysis in the financial services industry preferred but not required. Skilled "hands-on" user of SAS, R, MATLAB, SQL, and/or other statistically programming language required.

Roles & Responsibilities Displays structured problem-solving skills and applies the appropriate tools and techniques to solve open-ended problems, creating productized analytics solutions or frameworks independently. Understands business and product problems and devises deep, data-backed solutions. Conducts root cause analysis and deep dive analysis of specific product issues. Runs and maintains the reporting system, presenting actionable insights in weekly forums. Builds templates and dashboards in Excel or on internal platforms for operational and management reporting. Extracts data as requested by the business team for ad hoc analysis. Demonstrates strong business analysis and understanding to contextualize insights. Evaluates metrics to track as per business goals and explores other metrics for a deeper understanding of product performance. Mentors data analysts on day-to-day analysis tasks and upskilling opportunities. Works efficiently in a fast-moving environment, managing multiple projects with varying complexity and detail. Proficient in Python to automate reporting tasks, streamline processes, and improve operational efficiency. Desired Skills and Experience: 1-2 years working with large data sets and conducting quantitative analysis. Some understanding of Statistics and prior experience of building statistical models (e.g. hypothesis testing, product experimentation, A/B Testing, regressions). Excellent knowledge SQL and intermediate knowledge of data manipulation language such as R / Python Previous experience with working on ecommerce funnels, retention Ability to think through product and business metrics to assess product features Knowledge of business modelling and basic knowledge of financial metrics, would be a bonus Quick learner and ability to work in dynamic work environment Team player and comfortable interacting with people from multiple disciplines Established expertise in designing new dashboards, identifying the right metrics, layout; displays proficiency in building dashboards on Power BI using best practices and intuitive Qualifications Bachelors in engineering, Computer Science, Economics, Statistics, or related discipline from a reputed institute

Program Manager 15 + years of Experience Bangalore Role: Lead Cross-Functional Teams : Oversee and coordinate AI/ML projects, ensuring they align with business objectives and are delivered on time and within budget. Develop Program Plans : Create and manage comprehensive program plans, including budgets, timelines, and resource allocation. Stakeholder Management : Collaborate with stakeholders, including data scientists, engineers, business analysts, and executives, to define project goals and scope. Performance Tracking : Monitor program progress, track performance metrics, and address potential roadblocks. Innovation and Strategy : Drive innovation by staying updated with the latest AI/ML trends and integrating them into the program strategy. Mandatory Skillsets 15 years of extensive experience in program management, adept at leading diverse teams and managing complex projects. Technical Expertise : Deep understanding of AI/ML technologies, including machine learning algorithms, tools (e.g., TensorFlow, PyTorch), and frameworks. Program Management : Proven experience in managing large-scale AI/ML projects, with strong skills in project planning, execution, and delivery. Leadership : Strong leadership skills with the ability to lead cross-functional teams and manage multiple projects simultaneously. Communication : Excellent communication skills to effectively convey technical concepts to non-technical stakeholders and executives. Analytical Skills : Proficiency in quantitative analysis, cost-effectiveness assessment techniques, and data quality metrics for AI products. Experience : Approximately 15 years of experience in program management, with a significant portion in AI/ML projects. Good to Have Skillsets Cloud Computing : Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their AI/ML services. Business Acumen : Understanding of business processes and the ability to align AI/ML projects with business goals. Program Manager 15 + years of Experience Bangalore Role: Lead Cross-Functional Teams : Oversee and coordinate AI/ML projects, ensuring they align with business objectives and are delivered on time and within budget. Develop Program Plans : Create and manage comprehensive program plans, including budgets, timelines, and resource allocation. Stakeholder Management : Collaborate with stakeholders, including data scientists, engineers, business analysts, and executives, to define project goals and scope. Performance Tracking : Monitor program progress, track performance metrics, and address potential roadblocks. Innovation and Strategy : Drive innovation by staying updated with the latest AI/ML trends and integrating them into the program strategy. Mandatory Skillsets 15 years of extensive experience in program management, adept at leading diverse teams and managing complex projects. Technical Expertise : Deep understanding of AI/ML technologies, including machine learning algorithms, tools (e.g., TensorFlow, PyTorch), and frameworks. Program Management : Proven experience in managing large-scale AI/ML projects, with strong skills in project planning, execution, and delivery. Leadership : Strong leadership skills with the ability to lead cross-functional teams and manage multiple projects simultaneously. Communication : Excellent communication skills to effectively convey technical concepts to non-technical stakeholders and executives. Analytical Skills : Proficiency in quantitative analysis, cost-effectiveness assessment techniques, and data quality metrics for AI products. Experience : Approximately 15 years of experience in program management, with a significant portion in AI/ML projects. Good to Have Skillsets Cloud Computing : Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their AI/ML services. Business Acumen : Understanding of business processes and the ability to align AI/ML projects with business goals.

Through the Amazon Marketplace, Amazon provides individuals or enterprises the opportunity to sell their goods on the Amazon platform. Worldwide, more than a million sellers use this Marketplace and thereby contribute to the success of Amazon Are you interested in innovating to deliver an excellent level of service to Amazon s Selling Partners? At Amazon International Seller Services, our mission is to make Sellers successful on Amazon. The seller growth function devises programs to recruit new Sellers and improve existing Seller performance by driving them to adopt to relevant Amazon products and services. We provide necessary support to new Sellers starting from their launch on Amazon to removing blockers and setting them up for success by leveraging various programs and tools. This is a unique opportunity to combine sales experience with marketing automation and product development. You will be helping new Sellers interested in selling on Amazon from all Product Categories by proposing various programs that meet Sellers needs (e.g., Fulfillment by Amazon, Sponsored Product ads, Brand Registry, Seller Powered Coupon, and Deals). In this role, you will be expected to think analytically, and solve problems in a fast-paced, dynamic environment and balance multiple and often conflicting priorities. You will communicate with peers doing a similar role as well as cross functionally. The ability to manage a valuable prospect list is vital; candidates must be comfortable prospecting, cold-calling, and negotiating via phone. Recruiting Sellers and supporting them in their onboarding journey and managing Seller relationship by championing their needs at Amazon. Teach Sellers how to be more successful on Amazon through education on available tools, policies, and relevant growth opportunities leveraging related Amazon programs and products. Managing and driving the growth of the Sellers business by driving adoption of programs that accelerate their revenue such as Fulfillment by Amazon, Sponsored Product ads, Seller Powered Coupon, and Deals Managing key improvement initiatives and projects: driving efficiencies through tools and processes, simplifying SOPs, improving Seller educational content, and identifying blockers in registration, while working with the relevant internal team members global partners. Manage prioritization and trade-offs across Seller experience, performance, and operational load. Use metrics to identify growth drivers or problems, and act on improvement opportunities. 3+ years of professional experience with sales/marketing/account management background A track record of achieving targets Comfort with metrics and quantitative analysis, and ability to turn analysis into actionable plans; expertise in excel The ability to work independently while using centralized resources, policies and procedures. The ability to work in a fast paced environment and deal with ambiguity Bachelor s degree Experience working closely with international teams Experience identifying opportunities for improvement and simplifying and improving existing processes Familiarity with Email marketing or project management experience Understanding of SQL and data warehousing concepts Has managed a team of minimum 2 members

Responsibilities: * Conduct quantitative research using advanced techniques * Analyze data with high accuracy and speed * Collaborate on HFT strategies within the team * Present findings through clear reports

The Role Assist with the preparation and review of US and non-US reporting and compliance requirements Prepare the US international components of the company s ASC 740 calculations and related issues for financial statement reporting Prepare the international aspects of the US consolidated tax return including, but not limited to calculation/review of Forms 1118, 5471, 8858, and 8832; earnings and profits calculations; income sourcing/expense apportionment calculations; Subpart F and GILTI calculations; foreign tax credit calculations and applicable statements/elections Participate and assist with tax planning and special projects, including the assessment, recommendation and implementation of foreign tax planning strategies, mergers, acquisitions, reorganizations, liquidations, etc., through modelling and quantitative analysis Participate and assist with tax department technology initiatives including implementation of tax provision software, enhancements to Oracle, HFM and other technology platforms Draft responses to IDR s related to Federal and international tax audits Support and monitor legislative activities and the impact on the Company Qualifications The Requirements A minimum of 3 years of experience in corporate tax; CPA (or non-US equivalent), post-graduate degree in tax, and Big 4 experience strongly preferred Strong background in US international tax and transfer pricing concepts, including Subpart F, investment in US property, and permanent establishments Strong proficiency using Microsoft Office applications Experience using Oracle, Hyperion, HFM, ONESOURCE Income Tax/Tax Provision preferred Experience preparing Country by Country Reporting and familiarity with OECD Pillar II, preferred but not essential Ability to conduct research using various sources including BNA and effectively communicate results in the form of discussion, presentation or technical memorandum Highly organized with the ability to manage multiple priorities at one time and meet tight deadlines Self-motivated with the ability to work alone and as part of a project team Flexibility to support global projects across multiple time zones Solid written and verbal communication skills, with the ability to effectively navigate through a large matrix organization

Overview of the role As a member of the Enterprise Insights team at Target in India, you will expand efforts to help shape the ideal guest (consumer) experience and drive business and communication strategies and activations. This role supports the Category Insights team, which focuses on understanding consumer behaviors, attitudes, needs, and motivations across Target s core businesses. You will play a key role in bridging the gap between business and guests through research by collaborating with multiple stakeholders including merchandisers, marketers, category managers, and creative teams. You will be responsible for designing and executing guest or consumer research to support key initiatives. You will be the primary contact for internal partners and will identify the appropriate research method, data source and vendor/supplier to execute work. Target leverages both qualitative and quantitative techniques and various secondary and proprietary sources of data to conduct research studies. As an advocate for the guest, you ll be expected to frame findings into compelling insights and stories to establish guest understanding and empathy on the team and drive effective changes. Your work will have to include actionable recommendations for teams to then run with and achieve desired business goals for the organization. As a Sr. Marketing Researcher of Category Insights, you will report to the Sr. Manager, Insights and have responsibility for a Merchandise Pyramid. Responsibilities Identify best method or mix of methods for the research plan, timeline and resourcing. Work closely with cross-functional teams to identify and develop research plan based on analysis of knowledge gaps, project goals and risks. Conduct consumer research and report findings. Perform thorough qualitative/quantitative analysis to create meaningful insights and actionable recommendations. Work on an iterative approach through close alignment with business teams to influence impact of the project. Skills: Ability to operate using a range of quantitative survey methods and techniques, qualitative methods/techniques, ethnographic and anthropological research, statistical testing within quantitative methods, sampling, and data analysis and synthesis across methods Solve business problems with a consumer- centered approach. Strong grasp of quantitative data analysis and statistics from a business perspective, including generating and distilling reports from syndicated and secondary sources Conducting field research (both quantitative and qualitative), including preparing survey design/ discussion guides etc. Strong collaboration to effectively influence a diverse set of stakeholders. Communicate complex concepts clearly and persuasively across different audiences and varying levels of the organization. Manage ambiguity, work autonomously, meet deadlines and multi-task in an agile environment. Preferred Background Four-year degree or equivalent experience Retail/E-Commerce Experience Minimum of 5 years of Consumer Insights experience Significant experience with different methods of quantitative, qualitative, syndicated and first-party insight tools Experience analyzing syndicated and secondary data sources, as well as macro trend analysis

Job Information Job Opening ID ZR_2004_JOB Date Opened 18/07/2023 Industry Technology Job Type Work Experience 4-6 years Job Title Data Analyst City Chennai Province Tamil Nadu Country India Postal Code 600034 Number of Positions 2 3 - 6 years of experience performing quantitative analysis in the financial services industry preferred but not required. Skilled "hands-on" user of SAS, R, MATLAB, SQL, and/or other statistically programming language required. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Title: Senior Manager Business Analytics Location: Hybrid, India Company: Miko About Miko: Miko is an advanced consumer robotics company dedicated to transforming the way young learners engage with technology. Our AI-powered robots use playful, conversational learning to educate, entertain, and inspire kids aged 5 and above. With a presence in 140+ countries, including the US, UK, UAE, and India, Miko is shaping the future of interactive learning. To know more about Miko, log onto our website Role Overview: We are looking for a Senior Manager Business Analyst to drive data-driven decision-making across business and product functions. The ideal candidate will be responsible for defining key business metrics, developing reporting frameworks, identifying process inefficiencies, and providing strategic recommendations based on complex data analysis. This role demands strong analytical expertise, business acumen, and a problem-solving mindset to translate raw data into actionable insights that influence company strategy. Key Responsibilities: 1. Data Modeling & Dashboard Development Design and implement data models, reporting infrastructure, and dashboards to support business decision-making. Develop automated reports and visualizations using Power BI, Tableau, or Google Data Studio. Conduct deep-dive analysis on business performance, trends, and key drivers. 2. Business Process Optimization & Decision Support Identify inefficiencies in business processes and drive the adoption of data-driven solutions. Partner with product and business teams to provide insights that optimize operational performance and enhance user experience. Influence new business opportunities and strategies based on internal and external data analysis. 3. Advanced Analytics & Problem-Solving Execute quantitative analysis to identify trends, anomalies, and growth opportunities. Develop statistical models and predictive analytics to improve forecasting and strategic planning. Provide actionable insights that drive user engagement, revenue growth, and operational efficiency. 4. Stakeholder Collaboration & Data-Driven Culture Work closely with cross-functional teams to enable a data-driven approach in decision- making. Present analytical findings to senior leadership, translating complex data into clear business recommendations. Establish best practices for data accuracy, collection, and governance. What You Bring: Required Qualifications & Skills: 5+ years of experience in business analytics, data science, or a similar analytical role. Bachelors degree in Engineering, Computer Science, Mathematics, Statistics, or a related discipline. Expertise in SQL, Excel (Pivot tables, VLOOKUP, HLOOKUP, graphs), and data visualization tools (Power BI, Tableau, QlikView, Google Data Studio, etc.). Strong knowledge of analytics platforms like Mixpanel, Google Analytics, and Clevertap. Experience handling large, multi-dimensional datasets and executing complex data analysis. Ability to synthesize data, identify patterns, and present insights in a compelling manner. Strong critical thinking, problem-solving, and business process optimization skills. Ability to multitask in a fast-paced environment and work on diverse business requirements. Preferred Qualifications: Understanding of statistical tools and machine learning techniques. Prior experience in a consumer tech, robotics, or AI-driven company.