462 Quantitative Analysis Jobs

Role Overview: As an investment consultant at KKR's Private Asset Backed Finance business in Gurugram, you will play a crucial role in managing the trading performance of the global Private Credit & Private ABF books. Your responsibilities will include ongoing proactive performance monitoring, financial modeling, updating performance metrics, preparation of quarterly reviews, collaboration with various teams across KKR, and the opportunity to take ownership of portfolio monitoring and reporting on certain deals. This consultancy role will require you to work from KKRs office in Gurugram at least 4 days a week. Key Responsibilities: - Ongoing proactive performance monitoring of the structured credit / asset-backed Finance portfolio, including servicer & originator dialogue. - Financial modeling and sensitivity analysis. - Updating performance metrics in KKR portfolio systems. - Preparation of quarterly reviews and presentation to the Investment Committee. - Working with senior team members on re-financings, restructurings, and exit of positions in the portfolio. - Collaboration with other teams across KKR, including Investor Relations, Risk, and ESG in the creation of quarterly reporting, investor materials, and other ad-hoc requests. - Assisting with larger transaction Work-Out scenarios / Restructurings where applicable. - Opportunity to take ownership of the portfolio monitoring and reporting on certain deals. Qualifications Required: - Circa 2-4 years of relevant experience, ideally in an advisory / quantitative / ABS / Securitization / transaction services / leasing / restructuring / rating agency role. - Ability to learn quickly on the job and determination to upskill in new asset classes. - Experience working with ABS, structured finance, secured lending is useful. - Experience working with asset / NPL servicers is also useful. - Strong academic background. - Strong quantitative abilities - Power BI / Tableau / Python / SQL are useful (but not essential) skills. - Commercial awareness and an understanding of financial statements / modeling and structures. - Good report writing & presentation skills.,

Role Overview: The Risk Testing Group (RTG) at Goldman Sachs is a multidisciplinary group responsible for independent oversight of all financial and non-financial risks. As a Vice President in RTG, you will work on challenging projects to ensure holistic risk management practices. This role involves interactions with stakeholders across the firm and regulators globally, providing exposure to various financial products, risk management tools, quantification techniques, and a wide-ranging technology stack. Key Responsibilities: - Develop an understanding of the firm's risk management framework, models, methodology, techniques, and processes. - Conduct independent reviews of key regulatory and internal initiatives, and communicate results through formal reports. - Perform validation of the firm's qualitative models by verifying conceptual soundness, methodology, and implementation. - Develop and maintain effective stakeholder relationships, and present results to senior management committees and regulators. Qualifications Required: - Minimum of a bachelor's degree required; Masters in a quantitative discipline preferred. - Qualified Chartered Accountants (CAs) can also be considered. - CFA, FRM, or equivalent professional certifications preferred. Additional Details: Goldman Sachs, founded in 1869, is a leading global investment banking, securities, and investment management firm headquartered in New York. The company is committed to fostering diversity and inclusion within the workplace and beyond, providing opportunities for professional and personal growth. Goldman Sachs is dedicated to finding reasonable accommodations for candidates with special needs or disabilities during the recruiting process.,

As a Business Analytics Lead Analyst at Citigroup, you will be a strategic professional contributing to the directional strategy by staying abreast of developments in the field. You will serve as a recognized technical authority, providing advice related to technology or operations of the business. Your developed communication and diplomacy skills will be essential to guide, influence, and convince others, impacting the overall performance and effectiveness of the sub-function/job family. **Key Responsibilities:** - Gather operational data from various cross-functional stakeholders to examine past business performance - Identify data patterns & trends to provide insights for enhancing business decision-making in areas such as business planning, process improvement, and solution assessment - Recommend actions for future developments, strategic business opportunities, and operational policy enhancements - Conduct exploratory data analysis, confirmatory data analysis, and qualitative analysis - Translate data into consumer behavioral insights to drive targeting and segmentation strategies, and effectively communicate findings to business partners and senior leaders - Continuously improve processes and strategies by exploring and evaluating new data sources, tools, and capabilities - Collaborate with internal and external business partners to build, implement, track, and enhance decision strategies - Appropriately assess risk in business decisions, ensuring compliance with laws, rules, and regulations, and safeguarding Citigroup, its clients, and assets **Qualifications:** - 10+ years of experience - Experience as an Operations Research Analyst, Analytics Manager, Strategic Business Analyst, or similar position involving quantitative analytics in financial services - Proficiency in analyzing large datasets, applying mathematical, statistical, and quantitative analysis techniques for complex analyses and data mining **Education:** - Bachelor's/University degree; Master's degree preferred This job description offers a comprehensive overview of the role's responsibilities and qualifications. Other job-related duties may be assigned as needed. If you are a person with a disability and require a reasonable accommodation to use the search tools or apply for a career opportunity, review the Accessibility at Citi. For further details, refer to Citigroup's EEO Policy Statement and the Know Your Rights poster.,

As a Senior Associate in PwC's Private Equity Value Creation (PEVC) practice within the Advisory Acceleration Center, you will play a crucial role in shaping the M&A landscape for private equity and corporate clients. Your responsibilities will include: **Project Delivery** - Prior experience in product due diligence or IT due diligence and ops due diligence roles - Conducting quantitative and qualitative analyses of complex data, customer analysis, and internal analysis - Identifying and validating deals opportunities - Creating and managing client-ready deliverables **Client Engagement And Business Development** - Developing and maintaining strong relationships with team members and clients - Assisting in various aspects of client engagements for high-quality outcomes **Research And Analysis** - Conducting primary and secondary research specific to the TMT sector and private equity - Providing insights through data analysis **Innovation And Development** - Actively participating in new business development and pursuit activities - Contributing to practice enablement and business development - Implementing new tools and technologies for client solutions **Knowledge Management** - Staying updated on local and global business and economic issues in the TMT and private equity sectors - Keeping abreast of the latest M&A trends and industry-relevant skills **Other Areas** - Mentoring team members and providing guidance and feedback - Developing internal relationships to build trust and market the AC brand - Upholding the firm's code of ethics and business conduct **Desired Experience and Skills** - 5 to 7 years of industry experience in technology due diligence, IT due diligence, Ops due diligence, or related field - Prior industry experience in operations for TMT companies will be preferred - Advanced skills in Microsoft Excel, PowerPoint, and similar tools - Proficiency in data visualization tools such as Power BI **Soft Skills** - Strong analytical and problem-solving abilities - Effective written and verbal business communication skills - Ability to multi-task and manage time efficiently - Proactive behavior, strong work ethic, and professional demeanor **Educational Background** - MBA from premier B-Schools - Strong academic credentials, analytical abilities, and leadership skills Join PwC's Private Equity Value Creation team in Bangalore, India, to drive growth and create significant value for clients in the TMT Sector within the private equity landscape. Travel to client locations may be required based on project needs.,

Primary activities include but are not limited to the following: In collaboration with the Team Leader, the Specialists will manage all aspects of primary market research including: Framing business questions to support team strategy. Developing research/analysis plans. Drafting requests for proposals and articulation of the hypotheses to be tested. Selecting appropriate agency partners. Managing the research process to deliver an objective understanding of customers, competitors, products and market developments. Adhering to compliance requirements. Managing budgets and modifies plans/budgets as changing business needs warrant. Education Minimum Requirement: Undergraduate degree in related discipline required MBA or Masters degree in Business, Finance, Public Health, Policy, Pharmacy, Engineering, Mathematics, Statistics, Computer Science preferred Required Experience and Skills**: Minimum of 4+ years of experience in the pharmaceutical/biotech or management consulting industry. Well-developed analytical skills, strong problem-solving and demonstrated ability to think strategically and objectively. Can apply market research methods and models, is conversant with basic research techniques. Orientation toward collaboration/teamwork, ability to lead teams in execution of market research, interest in ongoing learning. Ability to work independently, communicate effectively and a strong desire to lead change. Preferred Experience and Skills: Knowledge of Pharmaceutical Industry Knowledge of the Healthcare Environment Experience in a large multi-national corporation

Who we are: Teesta Investment is a pioneering proprietary trading HFT startup trading and market-making global digital assets in India We lead the market for various financial instruments and digital currencies and operate with exceptional expertise, knowledge and global reach We are a firm that was founded on innovative, forward thinking and professional approaches to digital asset trading which reflects in our daily operations We leverage our extensive knowledge of all relevant market trends & developments from both technology and trading perspectives to help markets achieve price efficiencies, Your role: THIS IS A FULL TIME POSITION ON-SITE BASED OUT OF OUR KOLKATA OFFICE, This is a key position of our rapidly expanding research team where you'll be at the forefront of identifying, modeling, and developing successful trading strategies across both centralized and decentralized crypto exchanges Your analytical prowess will drive our mission to capitalize on trading opportunities, optimize performance, and mitigate risk in the ever-evolving cryptocurrency landscape and play a pivotal role in shaping the future of digital asset trading Your key responsibilities will include but are not limited to: Conducting comprehensive research to design high to low-frequency trading strategies tailored to cryptocurrency markets, Collaborating closely with our development team to implement and fine-tune trading strategies, ensuring optimal performance, Conducting rigorous backtesting and maintaining the ongoing performance of trading strategies, Developing sophisticated analytical tools to enhance strategy analysis and decision-making processes, Managing trading risk and ensuring the seamless operation and uptime of internal software and trade processes, Engaging with various OTC teams to execute trades and fulfill trading requirements, Monitoring auto trading strategies, swiftly addressing discrepancies, and reporting findings to senior management, Maintaining open communication with team leads for market updates, technical insights, and operational instructions, Our needs: A Master's or PhD in Applied Mathematics, Computer Science, Statistics, or related fields, with a Bachelor's Degree preferably within financial services or technology-related disciplines 3+ years of proven prior experience in quantitative analysis, trading, or market making within financial markets, Robust proficiency in programming languages such as Python, C++, Rust, Go, MATLAB, and R, with a focus on real-time data analysis, Extensive familiarity with Tick by Tick Data (TBT), market microstructures are preferred, In-depth knowledge of advanced mathematical and statistical concepts, applied in trading contexts, Strong proficiency in MS-Excel, coupled with exceptional numerical and analytical skills, Demonstrated ability to thrive in a competitive, fast-paced environment, Detail-oriented with a keen eye for identifying trading opportunities and mitigating risks, Ability to work independently, exercise sound judgment, and solve complex problems efficiently, Excellent verbal and written communication skills, with the ability to handle confidential information and sensitive situations with discretion, Perks offered: Access to In house snack bar and drinks Reimbursement for meals Fitness club/Gym memberships Sponsorship for higher education / academic endeavours Relocation benefits Health Insurance for candidate and their dependents Were looking for candidates who have a passion for pushing the boundaries of finance and technology and are keen to promote the cause of alternative assets and digital financial systems, In addition, you should be comfortable working in a fast growth environment, within a small agile team, with fast-evolving roles and responsibilities, variable workloads, tight deadlines, and a high degree of autonomy, Show more Show less

As an Analyst in Strategy and M&A Consulting, you will be part of the front-end upstream Strategy and M&A Global Consulting service line. Your responsibilities will include: - Working closely with a global team of consultants and Fortune 100 clients to understand their vision and help them devise inorganic and growth strategies. - Gaining exposure to work with global clients in various industries such as Automotive, TMT, Industrials, Manufacturing, Financial Services, Private Equity, and more. - Synthesizing key takeaways by structuring ambiguous problems, consolidating information sources, analyzing complex qualitative and quantitative data, presenting interpretations to the project team, and providing recommendations to global clientele. - Devising corporate/business unit, M&A, and market entry strategies, conducting commercial due diligence, business wargaming, and screening M&A targets. - Communicating effectively with senior leadership and clients by actively participating in firm-building initiatives. Key Qualifications: - Keen interest in building a career in Strategy and M&A Consulting. - Excellent analytical and presentation skills, with fluency in PowerPoint and Excel. Ability to conduct thorough market research using platforms like S&P CapIQ, IBISWorld, Merger Markets, Bloomberg, and others. - Ability to break down and solve ambiguous problems through quantitative thinking and analysis. - Enterprising and collaborative professional with the ability to work effectively in a team. - Exposure to international client geographies like North America, Western Europe, Asia-Pacific, and Japan will be considered favorably. - Preferably 1-2 years of prior work experience in strategy houses, Big 4, boutique consulting, corporate strategy, or corporate development. - Bachelor's degree from premier institutes globally or in India. Other competencies required: - Sound understanding of business strategy, finance, and cross-industry exposure. - Ability to interact confidently and independently handle CEOs, CXOs, and client executives. - Exemplary communication (verbal and written) and presentation skills. - Strategic mindset, hustler, fast learner, and go-getter attitude.,

As a Senior Associate of Investment Data and Reporting at Oaktree, your role will involve overseeing the curation of deal data throughout the investment life cycle, focusing on credit instruments and markets. Your responsibilities will include: - Data Validation and Exception Management: - Partnering with investment professionals to streamline deal monitoring templates and disseminate initial deal data and amendments. - Adhering to and enhancing controls frameworks for data sets related to portfolio companies, transactions, and holdings. - Validating and enriching quantitative and qualitative deal-data throughout the investment life cycle. - Centrally managing entity mastering for private companies. - Technology-enabled Reporting: - Creating and maintaining reporting views in data lakes. - Utilizing Python, SQL, and data visualization tools to manage and manipulate large data sets. - Supporting the implementation of process changes, automated reports, and technology systems. - Partnership & Innovation: - Collaborating with organizational partners to ensure robust data production. - Partnering with citizen developer teams on technology-enabled reporting activities. - Identifying opportunities for creating superior data solutions and building efficiencies. Your qualifications should include: - 7+ years of relevant technical experience in data lake/data warehouse technologies. - Solid knowledge of alternative investments and relevant reporting/dashboard outputs. - Strong technical skills with data warehousing and integration technologies. - Experience building dashboards and data visualizations. - Expertise in software development languages/frameworks like Python, Scala/Spark. - Familiarity with cloud-based data services and platforms. In addition to technical expertise, personal attributes such as being a self-starter, strong interpersonal skills, problem-solving abilities, attention to detail, and passion for improving systems and processes are essential for success in this role. A Bachelor's degree in Engineering, Computer Science, Finance, Information Systems, or related areas is required. Oaktree is committed to fostering an environment that is collaborative, inclusive, and values diversity of thought. Training, career development opportunities, and philanthropic initiatives are integral to the company culture. Please note the Equal Opportunity Employment Policy, and for positions based in Los Angeles, Oaktree will consider qualified applicants with a criminal history in accordance with the law.,

Job Purpose This position is open with Bajaj Finance ltd. Duties and Responsibilities Responsible for all Data Management, Analysis & Reporting for Loans & Cards. Regular data extraction/working on SQL to pull large set of data and share the inputs from the same with key stakeholders for reporting/analysis Preparation of Adhoc MIS and reports with utmost care and share same with internal stakeholders Define data requirements, run analysis and report/discuss results. Identify tools, data sources, develop project parameters and liaison with all concerned stakeholders to obtain data required and enable realistic project planning and execution. Responsible for developing data pipeline and data engineering components to support strategic initiatives and ongoing business processes. Strong Knowledge of SQL with analytical skills Having good hold with Advanced Excel, Word, and PowerPoint. Quantitative analysis within financial sector (retail preferred) Strong problem solving, quantitative, analytical and interpersonal abilities Data analysis and experiments, A/B testing, anomaly and pattern discovery on large structured and unstructured datasets and Big data Required Qualifications and Experience Responsible for all Data Management, Analysis & Reporting for Loans & Cards. Regular data extraction/working on SQL to pull large set of data and share the inputs from the same with key stakeholders for reporting/analysis Preparation of Adhoc MIS and reports with utmost care and share same with internal stakeholders Define data requirements, run analysis and report/discuss results. Identify tools, data sources, develop project parameters and liaison with all concerned stakeholders to obtain data required and enable realistic project planning and execution. Responsible for developing data pipeline and data engineering components to support strategic initiatives and ongoing business processes. Strong Knowledge of SQL with analytical skills Having good hold with Advanced Excel, Word, and PowerPoint. Quantitative analysis within financial sector (retail preferred) Strong problem solving, quantitative, analytical and interpersonal abilities Data analysis and experiments, A/B testing, anomaly and pattern discovery on large structured and unstructured datasets and Big data

Job Purpose This position is open with Bajaj Finance ltd. Duties and Responsibilities Responsible for all Data Management, Analysis & Reporting for Loans & Cards. Regular data extraction/working on SQL to pull large set of data and share the inputs from the same with key stakeholders for reporting/analysis Preparation of Adhoc MIS and reports with utmost care and share same with internal stakeholders Define data requirements, run analysis and report/discuss results. Identify tools, data sources, develop project parameters and liaison with all concerned stakeholders to obtain data required and enable realistic project planning and execution. Responsible for developing data pipeline and data engineering components to support strategic initiatives and ongoing business processes. Strong Knowledge of SQL with analytical skills Having good hold with Advanced Excel, Word, and PowerPoint. Quantitative analysis within financial sector (retail preferred) Strong problem solving, quantitative, analytical and interpersonal abilities Data analysis and experiments, A/B testing, anomaly and pattern discovery on large structured and unstructured datasets and Big data Required Qualifications and Experience Responsible for all Data Management, Analysis & Reporting for Loans & Cards. Regular data extraction/working on SQL to pull large set of data and share the inputs from the same with key stakeholders for reporting/analysis Preparation of Adhoc MIS and reports with utmost care and share same with internal stakeholders Define data requirements, run analysis and report/discuss results. Identify tools, data sources, develop project parameters and liaison with all concerned stakeholders to obtain data required and enable realistic project planning and execution. Responsible for developing data pipeline and data engineering components to support strategic initiatives and ongoing business processes. Strong Knowledge of SQL with analytical skills Having good hold with Advanced Excel, Word, and PowerPoint. Quantitative analysis within financial sector (retail preferred) Strong problem solving, quantitative, analytical and interpersonal abilities Data analysis and experiments, A/B testing, anomaly and pattern discovery on large structured and unstructured datasets and Big data

Job Purpose This position is open with Bajaj Finance ltd. Duties and Responsibilities Responsible for all Data Management, Analysis & Reporting for Loans & Cards. Regular data extraction/working on SQL to pull large set of data and share the inputs from the same with key stakeholders for reporting/analysis Preparation of Adhoc MIS and reports with utmost care and share same with internal stakeholders Define data requirements, run analysis and report/discuss results. Identify tools, data sources, develop project parameters and liaison with all concerned stakeholders to obtain data required and enable realistic project planning and execution. Responsible for developing data pipeline and data engineering components to support strategic initiatives and ongoing business processes. Strong Knowledge of SQL with analytical skills Having good hold with Advanced Excel, Word, and PowerPoint. Quantitative analysis within financial sector (retail preferred) Strong problem solving, quantitative, analytical and interpersonal abilities Data analysis and experiments, A/B testing, anomaly and pattern discovery on large structured and unstructured datasets and Big data Required Qualifications and Experience Responsible for all Data Management, Analysis & Reporting for Loans & Cards. Regular data extraction/working on SQL to pull large set of data and share the inputs from the same with key stakeholders for reporting/analysis Preparation of Adhoc MIS and reports with utmost care and share same with internal stakeholders Define data requirements, run analysis and report/discuss results. Identify tools, data sources, develop project parameters and liaison with all concerned stakeholders to obtain data required and enable realistic project planning and execution. Responsible for developing data pipeline and data engineering components to support strategic initiatives and ongoing business processes. Strong Knowledge of SQL with analytical skills Having good hold with Advanced Excel, Word, and PowerPoint. Quantitative analysis within financial sector (retail preferred) Strong problem solving, quantitative, analytical and interpersonal abilities Data analysis and experiments, A/B testing, anomaly and pattern discovery on large structured and unstructured datasets and Big data

Job Purpose This position is open with Bajaj Finance ltd. Duties and Responsibilities Responsible for all Data Management, Analysis & Reporting for Loans & Cards. Regular data extraction/working on SQL to pull large set of data and share the inputs from the same with key stakeholders for reporting/analysis Preparation of Adhoc MIS and reports with utmost care and share same with internal stakeholders Define data requirements, run analysis and report/discuss results. Identify tools, data sources, develop project parameters and liaison with all concerned stakeholders to obtain data required and enable realistic project planning and execution. Responsible for developing data pipeline and data engineering components to support strategic initiatives and ongoing business processes. Strong Knowledge of SQL with analytical skills Having good hold with Advanced Excel, Word, and PowerPoint. Quantitative analysis within financial sector (retail preferred) Strong problem solving, quantitative, analytical and interpersonal abilities Data analysis and experiments, A/B testing, anomaly and pattern discovery on large structured and unstructured datasets and Big data Required Qualifications and Experience Responsible for all Data Management, Analysis & Reporting for Loans & Cards. Regular data extraction/working on SQL to pull large set of data and share the inputs from the same with key stakeholders for reporting/analysis Preparation of Adhoc MIS and reports with utmost care and share same with internal stakeholders Define data requirements, run analysis and report/discuss results. Identify tools, data sources, develop project parameters and liaison with all concerned stakeholders to obtain data required and enable realistic project planning and execution. Responsible for developing data pipeline and data engineering components to support strategic initiatives and ongoing business processes. Strong Knowledge of SQL with analytical skills Having good hold with Advanced Excel, Word, and PowerPoint. Quantitative analysis within financial sector (retail preferred) Strong problem solving, quantitative, analytical and interpersonal abilities Data analysis and experiments, A/B testing, anomaly and pattern discovery on large structured and unstructured datasets and Big data

About the Role We are hiring a results-oriented Senior Machine Learning Engineer to join our growing team in Pune on a hybrid schedule. Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business. The ideal candidate will apply quantitative analysis, modeling, and data mining to help drive informed product decisions for PubMatic + get things done. What You'll Do Perform deep dive analysis to understand and optimize the key product KPIs. Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products. Conduct data analysis to make product recommendations and design A/B experiments. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. We'd Love for You to Have Five plus years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib. Experience with articulating product questions and using statistics to arrive at an answer. Experience with scripting in SQL - extracting large data sets and designing ETL flows. Work experience in an inter-disciplinary/cross-functional field. Deep interest and aptitude in data, metrics, analysis, and trends, and applied knowledge of measurement, statistics, and program evaluation. Distinctive problem-solving skills and impeccable business judgment. Capable of translating analysis results into business recommendations. Qualifications: Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities. Additional Information: Return to Office : PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more!. Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

About the Role We are hiring a results-oriented Principal Machine Learning Engineer to join our growing team in Pune on a hybrid schedule. Reporting to the Director of Machine Learning, you will partner with Product and Engineering teams to both solve problems and identify new opportunities for the business. The ideal candidate will apply quantitative analysis, modeling, and data mining to help drive informed product decisions for PubMatic + get things done. What You'll Do Perform deep dive analysis to understand and optimize the key product KPIs. Apply statistics, modeling, and machine learning to improve the efficiency of systems and relevance algorithms across our business application products. Conduct data analysis to make product recommendations and design A/B experiments. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations. We'd Love for You to Have Seven plus years of hands-on experience designing Machine Learning models to solve business problems with statistical packages, such as R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib. Proven ability to inspire, mentor, and develop team members to deliver value consistently. Experience with articulating product questions and using statistics to arrive at an answer. Experience with scripting in SQL - extracting large data sets and designing ETL flows. Work experience in an inter-disciplinary/cross-functional field. Deep interest and aptitude in data, metrics, analysis, and trends, and applied knowledge of measurement, statistics, and program evaluation. Distinctive problem-solving skills and impeccable business judgment. Capable of translating analysis results into business recommendations. Qualifications: Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from well-known Institutes / Universities. Additional Information: Return to Office : PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits: Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more! Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

You are ready to join a team that focuses on identifying the needs of call-center lines of businesses and optimizing service levels in real-time. The team values relationship-building, strategic thinking, and solution-oriented members, creating a highly-collaborative and inclusive environment. **Job Responsibilities:** - Enter and report schedule and exception activity, providing management with performance reports related to forecasting, scheduling, service level, and specialist performance. Utilize eWorkforce Management (eWFM), Real Time Adherence (RTA), and other software applications for duties. Monitor service level in real-time. - Identify the need to adjust off-phone time and employee movement to optimize service levels. Communicate changes to call center management and implement changes as required. - Plan and coordinate off-phone activities for specialist meetings, coaching, and department initiatives. - Maintain real-time schedules and conduct real-time analysis. - Facilitate daily status calls with the business. - Support the business with Tier 1 troubleshooting for business interruption and escalate as appropriate. **Required Qualifications, Capabilities, and Skills:** - 2+ years of experience in Workforce as a Real Time Analyst. - Advanced knowledge of Call Center Operations, Contact Center Metrics, and Workforce Planning practices. - Excellent written and oral communication skills. - Strong quantitative analysis, critical thinking, problem-solving, and innovation skills. - Highly detail-oriented with the ability to work on multiple projects/tasks simultaneously, manage time effectively, and prioritize tasks. - Flexibility with work schedule to meet business needs. - Comfortable working in a fluid business environment, adapting to changing job priorities, and collaborating with individuals at various levels internally and externally. Ability to work independently or in a group. - High proficiency in Microsoft Office products (Excel, Word, PowerPoint, etc.) **Preferred Qualifications, Capabilities, and Skills:** - Proficiency with eWFM scheduling software and/or WFO. - Experience with Automatic Call Distribution (ACD) and/or Call Management System (RTP/Pulse) systems and reports. - College degree or similar work experience preferred. - Preferred skills in VBA, Macro, Tableau & Alteryx.,

As a Senior Associate of Investment Data and Reporting at Oaktree, you will play a crucial role in overseeing the curation of deal data throughout the investment life cycle, particularly focusing on credit instruments and markets. Your responsibilities will include: - Data Validation and Exception Management: - Partner with investment professionals to streamline deal monitoring templates and centralize dissemination of initial deal data and amendments to downstream constituents of the data. - Adhere to and enhance controls frameworks for the definition, ingestion, curation, calculation, review, and use of portfolio company, transaction, and holdings-related data sets. - Validate and enrich quantitative and qualitative deal-data throughout the investment life cycle, working closely with business partners to rectify any errors. - Centrally manage entity mastering for private companies together with Data Solutions and Technology teams. - Ensure accurate, complete, reliable, and investor-ready data is available for use across the reporting suite. - Build and maintain highest quality fixed income data in collaboration with data management, investment operations, and analytics teams. - Leverage software tools to streamline data capture for portfolio monitoring, loan administration, valuation, and reporting. - Technology-enabled Reporting: - Create and maintain reporting views in data lakes reflecting gold-source investment-related data sets. - Utilize Python, SQL, and data visualization tools to manage and manipulate large data sets and create standardized reports or dashboards. - Support the implementation of process changes, automated reports, and technology systems to generate standard and recurring reporting. - Leverage reporting and systems knowledge to gather and document implementation requirements. - Partnership & Innovation: - Collaborate with organizational partners to ensure robust data and the advancement of RR&A deliverables. - Partner with citizen developer teams on the strategic development and tactical execution of technology-enabled reporting activities. - Identify and capture opportunities to create superior data solutions and build efficiencies through process and technological improvements. Required Experience: - 5+ years of relevant technical experience in data lake/data warehouse technologies. - Solid knowledge of alternative investments and reporting/dashboard outputs. - Strong technical skills with data warehousing and integration technologies. - Experience in data modeling and building dashboards using Tableau, Power BI, or other platforms. - Expertise in software development using languages/frameworks such as Python, Scala/Spark. - Familiarity with cloud-based data services and platforms. - Track record of leading solution delivery of end-to-end data projects. - Familiarity with Agile project management methodology. - Availability to work during U.S. PST and India IST working hours. Personal Attributes: - A self-starter with the ability to operate independently and collaboratively. - Strong interpersonal and communication skills. - A natural problem solver with attention to detail. - Passion for improving systems and processes. - Strong integrity and professionalism. Education: - Bachelor's degree required. Engineering, Computer Science, Finance, Information Systems, or related areas of study preferred. Oaktree is committed to providing Equal Opportunity Employment. For positions based in Los Angeles, the firm will consider applicants with a criminal history in accordance with applicable laws.,

As a member of the team, you will be responsible for performing qualitative and quantitative analysis of raw materials, intermediates, and finished goods according to approved specifications, SOPs, and test methods. Your role will involve conducting testing using analytical instruments like HPLC and ensuring the accurate documentation of results in laboratory records. Key Responsibilities: - Perform qualitative and quantitative analysis of raw materials, intermediates, and finished goods - Conduct testing using analytical instruments such as HPLC - Prepare and standardize reagents, solutions, and reference standards for testing - Ensure accurate documentation of results in laboratory records Qualifications Required: - Degree in Chemistry, Biochemistry, or related field - Experience with analytical instruments like HPLC - Strong attention to detail and accuracy in documentation Please note that this is a full-time position with the requirement to work in person at the specified work location.,

As a Senior Sales Analytics Specialist at NTT DATA, you will be an advanced subject matter expert responsible for driving the success of sales operations through comprehensive data analysis, valuable insights, and strategic decision support. You will collaborate with cross-functional teams to provide data-driven support for business planning and strategic decision-making by leveraging a deep understanding of the business context. Key Responsibilities: - Accountable for driving tactical and strategic projects with cross-functional virtual teams to achieve specific business objectives. - Analyze complex business problems and issues using internal and external data to provide insights to decision-makers. - Create documented specifications for reports and analysis based on business needs and required or available data elements. - Define, develop, enhance, and track metrics and dashboard requirements to deliver results and provide insight and recommendations on trends. - Validate data using advanced data analysis and tools to ensure analytics are valid, meaningful, and provide actionable insights. - Provide strategic decision support to help the team answer strategic questions and make insightful data-driven business decisions. - Create relevant reports and present on trends to convey actionable insights to stakeholders. - Provide technical advice, consultation, and knowledge to others within the relevant teams. - Perform any other related tasks as required. To thrive in this role, you need to have: - Advanced understanding of advanced data analysis techniques and the ability to uncover strategic insights from data. - Advanced collaboration skills to work effectively with cross-functional teams and senior management. - Excellent communication and presentation skills to convey complex data findings in a clear and actionable manner to non-technical stakeholders. - Proficiency in data analysis tools including advanced Excel, PowerBI, and at least one relevant coding language (e.g., DAX, R, Python). - Understanding of Structured Query Language for managing and querying relational databases. - Knowledge of techniques for transforming and structuring data for analysis and ETL processes. - Understanding of data security and privacy best practices. Academic qualifications and certifications: - Bachelor's degree or equivalent in Data Science or related field. - Relevant sales analytics certifications are desirable. Required experience: - Advanced demonstrated experience in a sales or marketing function as a data analyst. - Proven track record in using PowerBI, statistical and quantitative analysis techniques, data visualizations, and data analysis. - Experience in creating and optimizing reports and dashboards for strategic decision support. - Experience in providing data-driven support for business planning and strategic decision-making. About NTT DATA: NTT DATA is a trusted global innovator of business and technology services, committed to helping clients innovate, optimize, and transform for long-term success. With over $3.6 billion invested in R&D annually, NTT DATA serves 75% of the Fortune Global 100 and has diverse experts in more than 50 countries. As a Global Top Employer, NTT DATA offers services including business and technology consulting, data and artificial intelligence, industry solutions, and the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is dedicated to helping organizations and society move confidently and sustainably into the digital future.,

As a Risk Analyst within Transaction Banking (TxB) at Goldman Sachs, you will be responsible for identifying, assessing, and mitigating a wide range of risks that could impact the organization's objectives. This role offers a unique opportunity to work across various risk domains, including Operational, Client, Credit, Fraud, Activity Monitoring, Regulatory, and Financial risk, providing you with a comprehensive understanding of enterprise-wide risk management. Key Responsibilities: - Assist in identifying, assessing, and mitigating risks across the organization - Support the development and maintenance of risk management policies and procedures - Conduct data analysis to support risk assessments and reporting - Collaborate with cross-functional teams to gather input for risk assessments - Prepare reports and presentations on risk analysis findings for management or regulators - Research emerging risks, industry trends, and best practices - Contribute to the continuous improvement of risk management processes and tools - Participate in ad-hoc risk projects and initiatives, providing analytical support Qualifications And Skills: - Prior experience in risk management or analytical role is desirable - Strong interest in risk management and a desire to learn and grow in the field - Bachelor's or master's degree in a quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline - Proactive and detail-oriented individual with a passion for problem-solving - Strong qualitative and analytical skills, with the ability to interpret complex data and identify trends - Proficiency in data analysis tools (e.g., Excel, SQL) - Excellent written and verbal communication skills - Meticulous attention to detail and accuracy in all work output - Ability to work effectively both independently and as part of a team About Goldman Sachs: Goldman Sachs is a leading global investment banking, securities, and investment management firm committed to helping clients, shareholders, and communities grow. Founded in 1869 and headquartered in New York, the firm maintains offices worldwide. Goldman Sachs is dedicated to fostering diversity and inclusion, offering professional and personal growth opportunities, benefits, wellness programs, and mindfulness initiatives. The firm is committed to providing reasonable accommodations for candidates with special needs or disabilities during the recruiting process. Please visit GS.com/careers to learn more about Goldman Sachs" culture, benefits, and opportunities for professional growth and development.,

About The Role Skill required: Analytics - Reporting Analytics Designation: Analytics and Modeling Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? The Business Intelligence & Analytics (BI&A) function is part of CF Operations under Accenture Operations and is engaged in an ongoing program to support Markets and Services. BI&A team member is part of the team that provides operations support to Markets and Services leadership. He/she will be responsible for delivering data driven analytics to Market & Services leadership. The Analytics and Modeling Senior Analyst will be responsible to deliver analytics to one of the Markets/ Services. Whether you re measuring sales performance, analyzing trends, data mining, or optimizing SQL queries, the Senior Analyst will be working with the cutting-edge technology and big datasets. Working in the Business Operations Data Integration team is a premier opportunity to develop a career in Business Analytics. At their core, Analytics and Modeling Senior Analysts are not only required to be strong in quantitative analysis, data visualization, enjoy coding but also want to balance that with their interest in business. The role requires them to think critically to tackle complex challenges, thrive in a fast-paced environment and seeking a high-growth opportunity where they will have an immediate impact on day one. What are we looking for? QUALIFICATIONS Any graduate degree (or equivalent) required, full time MBA preferred 4 6 years of post-education experience, with at least 4-5 years of relevant experience Strong knowledge of advanced Excel, PowerPoint and at least one of the data visualization tools such as Power BI Strong Knowledge of SQL, SSRS, Access, VBA will be highly preferred TOP REQUIRED BEHAVIORS AND SKILLS Preferably handled projects in the areas of data visualization and analytics Good understanding of dashboards and scorecards for leadership review Preferably an expert on MS Excel & Macros and with prior experience or hands on in either one or more of the following - SFDC, SQL Server, Sales Analytics, SAP BI or any other Business intelligence platforms Ability to multitask to meet deadlines and quality expectations Analytical/problem solving skills Accuracy and attention to detail; prioritizes and plans work activities Good communication in English (written and oral) and interpersonal skills. Ability to interact with international stakeholders Experience in handling global clients preferred Willing to go the extra mile for the team when required Ability to work under minimal supervision and guidance Willingness to learn and deliver with a positive attitude Roles and Responsibilities: ACCOUNTABILITIES Business operations support to Services/ Markets including Business Intelligence & Analytics to produce analytics across multiple dimensions of business - Finance, Sales, Talent, Quality, Delivery, external competition and others as needed by the Market/ Service leadership Data Visualization Reporting & Analytics Driving adoption of Standard Accenture tools Working in an agile way on demand change request, real time support for ad hoc reporting requests RESPONSIBILITIES Act as a business partner to provide analytics, management operations support and reporting to Market/ Service Leads to help them run their portfolios, understand key performance metrics and drive performance improvements Provide analysis for programs jointly as needed that include pipeline improvement, win/loss, account planning, profitability improvement analysis, chargeability analysis Use latest analytics and data visualization tools such as Power BI, for effective data representation to provide insights to business Identify process improvement opportunities to develop effective business solutions Develop process documentation, communications, and reports required to support leadership Foster relationships and partner with internal teams, and external business functions to deliver business results Work with different stakeholders to gain input needed to drive key business discussions /outcomes Build functional and technical skills foundation Participate and contribute to regular team discussions and process improvement initiatives Take responsibility for personal skill development and career management Qualification Any Graduation

You are looking for a Senior Manager/Associate Vice President in Consumer Insights to join our Research & Strategy team. In this role, you will play a critical part in driving data-informed decision-making across programming and marketing by combining quantitative research with qualitative insights to create compelling narratives for internal stakeholders. Your main responsibility will be to bridge the gap between the quantitative research team, qualitative researchers, and the programming strategy function to synthesize data into actionable insights and strategic presentations for senior management, content creators, and marketing teams. Your duties will include leading the analysis of audience data using tools such as BARC, internal analytics platforms, and other industry-standard measurement tools. You will interpret and visualize large data sets to extract key performance insights across genres, time slots, demographics, and platforms. By integrating quantitative data with qualitative research like focus groups, viewer feedback, and social listening, you will gain a comprehensive understanding of audience behavior and identify emerging content trends, consumption patterns, and market opportunities to shape content development and scheduling. You will be responsible for developing clear, concise, and strategic insight decks and presentations for senior management, programming, and marketing teams. Your ability to translate data into storytelling frameworks that are easy to understand will guide decision-making across content acquisition, creation, and positioning. Moreover, you will collaborate closely with Programming, Marketing, Qualitative Research, Consumer Insights, and Digital Strategy teams to align goals and drive cohesive strategies, serving as the primary point of contact for quantitative insights within the broader Research & Strategy ecosystem. Your qualifications should include a Bachelor's or Master's degree in Statistics, Data Science, Media Studies, Business Analytics, or related fields. Ideally, you should have 12+ years of experience in a media/entertainment environment with a strong focus on audience research and insights. Proficiency in BARC software and television/digital audience measurement systems is crucial, along with strong quantitative analysis skills and hands-on experience in BARC, Excel, Power BI, or similar data tools. To excel in this role, you must possess excellent storytelling skills with data, crafting compelling presentations using PowerPoint, Tableau, or other visualization tools. Strong communication skills, a collaborative mindset, attention to detail, and a strategic approach are essential qualities for this position. Preferred qualifications include experience in broadcast, streaming, or digital content strategy, exposure to qualitative research methods, and prior work in fast-paced environments with content or creative teams.,

As a Sales Analytics Specialist at NTT DATA, you will play a crucial role in driving the success of sales operations through comprehensive data analysis, valuable insights, and strategic decision support. Your seasoned expertise will be utilized to provide data-driven support for business planning and strategic decision-making, ultimately contributing to the achievement of specific business objectives. Operating within a multifaceted environment, you will collaborate with cross-functional teams to analyze complex business problems and issues using internal and external data. By identifying trends, patterns, and influences in relevant datasets, you will proactively offer meaningful quantitative analysis to inform business decisions. Your responsibilities will also include creating documented specifications for reports, defining metrics and dashboard requirements, and ensuring data validation using advanced data analysis tools. In addition to your technical skills, you will leverage your seasoned understanding of advanced data analysis techniques and business sales objectives to align data analysis with strategic goals effectively. Your collaboration skills will enable you to work effectively with cross-functional teams and senior management, translating complex data insights into actionable strategies for non-technical stakeholders. Your role will also involve providing technical advice, consultation, and knowledge to relevant teams, creating and presenting reports on trends, and supporting the team in answering strategic questions and making insightful data-driven decisions. You will utilize tools such as advanced Excel, PowerBI, and relevant coding languages, as well as demonstrate expertise in SQL for managing and querying databases. To qualify for this role, you should hold a Bachelor's degree or equivalent in Data Science or a related field, along with relevant sales analytics certifications. Your experience should include a proven track record in sales or marketing functions as a data analyst, proficiency in PowerBI and statistical analysis techniques, and creating reports that contribute to strategic decision support. As part of a remote working environment at NTT DATA, you will have the opportunity to leverage your skills and expertise to drive innovation, optimize processes, and transform businesses for long-term success. Join us in our commitment to helping organizations move confidently into the digital future, as we strive to make a positive impact on our clients and society.,

Are you seeking an exciting opportunity to become a part of a dynamic and rapidly growing team within a fast-paced and challenging environment As the Lead Credit Risk - Vice President within the Risk Management and Compliance team at JPMorgan Chase, you will play a pivotal role in ensuring the strength and resilience of the organization. Your expertise will be instrumental in facilitating responsible business growth by proactively identifying and addressing emerging risks, while utilizing your expert judgment to tackle real-world challenges that have an impact on our company, customers, and communities. Our team places a high value on innovative thinking, challenging conventional practices, and aspiring to achieve excellence in every aspect of our work. Key Responsibilities: - Supervising and managing an assigned portfolio of institutional and corporate clients spanning various industries. - Leading the due diligence, structuring, and documentation processes for transactions. - Conducting in-depth credit analysis, supported by comprehensive financial modeling, to gain insights into clients" industries and the primary business and financial risks they encounter. - Exercising a significant credit approval authority. - Collaborating closely with transaction stakeholders, including client coverage and product bankers, credit executives, and legal advisors. - Reviewing diverse credit and regulatory reporting obligations. - Mentoring and nurturing junior CIB Credit Risk team members. - Monitoring market and industry trends and their implications for clients. - Providing recommendations and overseeing internal credit ratings. - Supporting the team with various ad-hoc initiatives and workstreams. Required Qualifications, Skills, and Capabilities: - Minimum of six years of experience in a credit risk or credit analysis role within corporate, institutional, and/or investment banking. - Proficiency in conducting comprehensive credit risk analysis encompassing both qualitative and quantitative aspects. - Sound understanding of products within Australian debt markets and derivatives, as well as related documentation. - Ability to proactively identify key issues and concerns related to clients, their industries, and transaction structures. - Excellent written and verbal communication skills, along with strong interpersonal abilities. - Demonstrated proficiency in time management and clarity of thought when managing multiple work streams in a fast-paced setting. - Capacity to build relationships and effectively engage with origination teams and other internal stakeholders. - Advanced skills in MS Excel, enabling efficient navigation through financial models, and proficiency in other MS programs such as PowerPoint, Word, and Outlook. - Bachelor's degree or postgraduate qualifications in accounting, business, finance, or a quantitative-related discipline.,

As a Trading Enabler, AVP at Deutsche Bank (DB) in Mumbai, India, you will be part of a dynamic team committed to being one of the best financial services providers globally. DB is an inclusive and diverse employer that values new ideas and provides a platform for career advancement. Deutsche India Pvt Ltd (DIPL) is DB's analytics, operations, and technology center in India, serving as a virtual extension of DB's business hubs in London, New York, and Hong Kong. The Linear Financing desk within the Fixed Income- Global Financing & Credit Trading (GFCT) division focuses on providing share-backed financing solutions to various clients, including corporates, private equity funds, financial institutions, and HNI borrowers. In this role, you will be responsible for tasks such as deal selection, fundamental valuation of companies, financial and credit analysis, risk assessment, pricing, and developing trading strategies. You will also be involved in deal execution and management, including liaising with different departments for trade bookings, funding, and risk monitoring. The ideal candidate will possess a strong academic and professional background, advanced analytical skills, proficiency in Microsoft Excel and PowerPoint, and the ability to thrive in a fast-paced environment. Strong communication, organizational, and interpersonal skills are essential, along with the capacity to work both independently and as part of a team. Prior work experience in financial services, particularly with a buy-side perspective, and knowledge of equities/credit markets will be advantageous. Deutsche Bank provides comprehensive support, including training, coaching, and a culture of continuous learning to facilitate your career growth. If you are looking to excel in a challenging yet rewarding environment, Deutsche Bank welcomes your application and offers a positive, fair, and inclusive workplace where success is celebrated and collaboration is encouraged. Visit our company website for more information: https://www.db.com/company/company.htm. Join us at Deutsche Bank Group, where together, we empower excellence every day.,

As a Junior Quantitative Analyst in our equities team, you will play a crucial role in analyzing, developing, and monitoring quantitative models to enhance trading strategies and investment decisions. With 2-3 years of experience in the equities space, you will have the opportunity to collaborate with seasoned professionals and contribute to the creation of innovative investment approaches. Your responsibilities will include collecting, cleaning, and analyzing extensive datasets related to equity markets. You will also assist in back testing and model development to support trading strategies. Additionally, you will be tasked with monitoring and evaluating the performance of quantitative models in real-time and historically. Moreover, you will prepare automated reports on model performance and market conditions to aid in decision-making processes. To excel in this role, you should hold a Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field. A Master's degree will be advantageous. Your technical skills should encompass strong programming abilities in any language, particularly Python. Proficiency in SQL and data visualization will be beneficial. Your analytical prowess, problem-solving skills, and attention to detail will be critical in interpreting complex data and generating actionable insights. Preferred qualifications include knowledge of financial instruments, market microstructure, and trading strategies. Familiarity with risk management principles, as well as quantitative finance tools like optimizations, risk models, and regression analysis, will be valued. Your ability to work collaboratively with senior analysts, portfolio managers, and team members will be essential in supporting the investment process effectively.,