Company Description As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals and private wealth clients in major markets worldwide. Our ambition is simple: to be our clients’ most valued asset-management partner. With over 4,400 employees across 51 locations in 25 countries, our people are our advantage. We foster a culture of intellectual curiosity and collaboration to create an environment where everyone can thrive and do their best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business or providing thoughtful advice to clients, we’re looking for unique voices to help lead us forward. If you’re ready to challenge your limits and build your future, join us. Describe The Role Day to day responsibilities will include: Manage a team of 6-8 investment data analysts responsible for daily data oversight workflows, data incident resolution, and data platform quality improvement projects. Relentlessly improve the data quality rules engine by developing smarter exception detection logic using a combination of supplemental/corroborative data and cross-checking statistical/structured and non-structured data analysis (including artificial intelligence/machine learning) algorithms. Play a lead role in the onboarding of new datasets by determining the data quality control requirements, and the feasibility of additional oversight workflows that avoid generating exception “noise”. Mentor team members during data quality test brainstorming sessions and SQL/Python code reviews. Provide periodic team performance reports which measure productivity by the number of test results reviewed, new tests developed, and the number of false versus true positive versus true versus false negatives detected (noise versus signal). Undertake bespoke requests for data analysis. Assist the data engineering team in the testing of new data feeds / pipelines, ensuring job controls include data timeliness and completeness checks. Handle data collation, cleansing and analysis (SQL, Python). Preferred Skill Sets 6+ years of experience of investment data analysis and/or data management operations 4+ years small to medium size team management / leadership 2+ years of SQL / Python scripting experience to support data analysis.– Broad understanding of key investment data domains: market data, fundamental and macroeconomic data, positions and transactions, risk and investment performance analytics Excellent project management / organization skills: ability to manage competing task priorities based on business impact - High level of attention to detail and accuracy, relentless focus on improving team productivity Working experience on building quantitative models; experience with factor research, portfolio construction, systematic models - Academic qualification in Mathematics/Physics/Statistics/Econometrics/Engineering or related field Understanding of company financial statements, accounting and risk analysis would be an added advantage Strong (English) communication skills with proven ability to interact with global clients Pune, India Show more Show less

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What You’ll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZS’s capabilities. Guide and mentor Associates on teams. What You’ll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Up to 3 years of relevant post-collegiate job experience. Fluency in English. Knowledge of programming (e.g., Java/Python/R). Exposure to tools/platforms (e.g., Hadoop eco system and database systems). Demonstrated proficiency in a programming language or analytic tool such as R, SAS, Tableau, or VBA. High motivation, good work ethic, maturity, and personal initiative. Effective oral and written communication skills. Empathy, adaptability, and emotional intelligence. Strong attention to detail, with a quality-focused mindset. Self-discipline for planning and organizing tasks. Aptitude for, and enjoyment of, working in teams. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com Show more Show less

We are looking for a skilled and innovative Generative AI Developer to design, develop, and deploy AI-powered applications. The ideal candidate will have expertise in working with large language models (LLMs), Generative AI technologies, and software development, with a focus on creating impactful solutions for real-world problems. Key Responsibilities Develop and deploy AI-based applications leveraging LLMs and Generative AI models like GPT, Gemini, or similar frameworks Build scalable backend systems using Python, ensuring seamless integration with UI/UX components Design and optimize generative AI models to address diverse business challenges Fine-tune pre-trained LLMs to align with specific use cases Work closely with cross-functional teams, including data scientists, UI/UX developers, and product managers, to deliver robust solutions Collaborate with clients to gather requirements and develop customized AI capabilities Deploy solutions on cloud platforms (Azure, AWS, or GCP) and ensure system scalability and : Bachelors Degree (preferred CS/IT) in advanced analytics or ML or Master's in Machine Learning, Statistics, Econometrics, or a related field 3-10 years of professional experience in Data Science or AI/ML application development. Hands-on experience with Generative AI models and frameworks Stay updated on industry trends, emerging technologies and best practices in Gen AI & Data Skills : Proficiency in Python for application development Experience working with Generative AI frameworks and libraries (e.g., Hugging Face, OpenAI API, LangChain) Strong knowledge of LLMs and fine-tuning techniques Experience with RAG (Retrieval-Augmented Generation) techniques & Agentic workflow Hands-on experience with Python web frameworks like Flask, FastAPI, or Django Familiarity with cloud platforms (Azure, AWS, or GCP) for deployment and scaling Frontend development skills (HTML, JavaScript, React) Strong problem-solving and debugging skills Experience with version control systems such as Git/Bitbucket Understanding of MLOps frameworks for model lifecycle management Exposure to DevOps culture with hands on experience in Jenkins for CI/CD would be added advantage. Knowledge on containerization utilizing Dockers and Kubernetes will be added advantage (ref:hirist.tech) Show more Show less

Position Overview Job title: Debt Strategic Analytics Corporate Title: VP Location: Mumbai, India Role Description Deutsche CIB Centre Pvt Ltd is Deutsche bank’s global platform for front-office & aligned functions to create value by utilizing non-traditional locations, exceptional talent, and a collaborative culture. This branch of Deutsche Bank Group company is looking for extremely bright candidates for the role of Debt Strategic Analytics (Strats). The candidate is required to work in close collaboration with London/Singapore teams on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python and C++ programming language. Candidate should possess excellent English communication skills to coordinate and communicate effectively with various stakeholders spread across the globe. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Flexible working arrangements Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Your Key Responsibilities The Quantitative Strategist (Quant Strat) is responsible for designing, developing and implementing through analytical (quantitative) and direct coding (e.g., via C++; Python or any other relevant application), quantitative strategic models, risk management (credit risk, market risk, anti-financial crime etc.) and pricing solutions to meet business & control needs and drive respective strategies or regulatory adherence. Some responsibilities for this role include, but not limited to: Work with Capital and Liquidity Management colleagues in Treasury to develop a framework to optimize funding for the bank, manage asset and liability mismatches in the liquidity pool and bring more transparency into the process. Development of complex processes, framework or risk analysis as well as improvements specially focused on Liquidity Risk. Implement, enhance and maintain existing framework to measure market risks across the bank from Treasury perspective. Remediation of regulatory as well as external and internal findings against any existing risk model. Build quant driven tools and products for front-office and control functions. Coordinate and gather information from various stakeholders for deeper understanding of the business. Develop and design tables and databases required for storage of the data. Design an automated solution which is optimized and scalable. Your Skills And Experience Strong programming skills in C++ and Python preferably in financial industry. Relevant experience of at least 8 years in Banking or Software Development. At least 3+ year experience with relational database design (oracle, mysql). Strong understanding of Data Structures & Algorithms, memory optimization etc. Good quantitative skills in Probability, Calculus, and Linear Algebra. Experience with applied econometrics (Hypothesis testing, PCA, Linear/Non-Linear Regression etc.) is a plus. Knowledge of applied linear/Integer linear programming, dynamic programming & greedy algorithms is a plus. Relevant experience in some of financial products like Bonds, Swaps, Cross Currency Swaps, Loans & Deposits is a plus. Strong communication skills and presentation ability with attention to detail. Good problem-solving instincts and strong analytical skills. Strong educational background in Engineering/Science, preferably from top tier colleges in India. How We’ll Support You Training and development to help you excel in your career. Flexible working to assist you balance your personal priorities. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

Entity: Technology Job Family Group: Engineering Group Job Description: Let me tell you about the role The Geospatial Technology Engineer will have expertise in technology, data, analytics, engineering and science solutions and projects in respect to location. They will join a squad as part of the wider Geospatial team within Oil and Gas Technology gaining exposure to pioneering technologies and their real-world applications. They will interface closely with other Geospatial SMEs, Digital Product, and business collaborators to deploy and develop Geospatial technology, data & analytical solutions to meet business challenges across a wide range of domains including Production, Projects, Subsurface & Wells, Crisis, Renewables, and Refining. What you will deliver Key technical capabilities and expectations: Develop innovative solutions and procedures and promote standard methodology to increase efficiency and quality within the geospatial team and across products Geospatial Technology: some experience in the use and deployment of geospatial technology including configuration and connectivity (eg. Cameras, Handhelds, AR/VR equipment, sensors, GPS, drone). Geospatial Data Management: exposure to the use of spatial databases, spatial access methods, coordinate reference systems, representation of spatial objects, image processing, query processing, spatial data infrastructures, data manipulation, data security. Geospatial Analysis: Knowledge of query operations and languages, earth geometry and geodesy, analytical operations, analysis of surfaces, spatial statistics, geo-statistics, spatial regression and econometrics, data mining, network analysis, optimization, and location allocation modeling. Spatial Data Visualization: some knowledge of the principles of map design, graphic representation techniques, map production, development of web-based maps, applications, and dashboards. Reality capture: Knowledge of reality capture data formats, 3D models, QC workflows, loading techniques, and data integration for visualization and analysis. Ability to import, export and manipulate data between Geospatial systems and other applications, using tools such as FME and Databricks. Exposure to one or more data-related technologies/languages (e.g. Python, R, Java Script, etc.) Some experience working with the ArcGIS Desktop and Enterprise suite of tools (ArcGIS Pro, Server, Portal and associated API’s). What you will need to be successful (experience and qualifications) Crafting innovative solutions to improve process, workflow, standard methodology, and service delivery. Challenging conventional thinking, problem solving and innovating. Actively seeking to apply data science techniques; automation and machine learning, including the use of analytical and visualization tools to translate data and interpreted results into actionable insights and value. Citizenship: Engage in honest conversations and encourage team members to ask questions and actively listen to concerns; you are inclusive & collect diverse set of opinions and ideas, seeking out the silent voice; use your own skills & experience to upskill others. Understand how your work with data impacts bp with respect to safety, financials, or other high value impacts. Start to identify continuous improvement opportunities to create safer operations, reduce cost, or other opportunities with data. Autonomy in problem identification and problem breakdown: end-to-end project ownership: independently identify problems to be solved in your team because of in-depth technical and business understanding; can concretize vague, sophisticated and broad problems and break them down into actionable sub-problems and tasks; you help line up and concretize projects for more junior team members Customer Management: Proactively contact to partners to identify project needs and suggest solutions. Change Management: Recognize and optimally build, communicate, and handle the business process for change – the costs and the benefits, building energy around the change. Use change as an opportunity to advance business objectives. Communication Skills: Optimally communicate orally and in writing to a technical and non-technical audience. Business impact: Have business impact on one or various metrics of your team, you are seen as a thought partner to the business. Qualifications: Experience – 3+ years in a similar role Bachelors / Master’s degree, GIS, Geospatial, Geospatial Survey, Geographic Science, Computer Science, and other related fields, or related bachelor’s degree with relevant experience. About Bp bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people’s lives. We are committed to crafting a diverse and inclusive environment where everyone can grow. Join bp and become part of the team building our future! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform important job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

As a Data Scientist lead within the Data and Analytics team, you will drive the analytics book of work, transforming Chase s cross-channel, cross-line of business acquisition strategy to a hyper-personalized, data-driven, customer-centric model. You will partner strategically across the firm with marketers, channel owners, digital experts, and the broader analytics community to help drive business goals through deep understanding of marketing analytics and optimization. Job Responsibilities Develop the analytics framework and data infrastructure necessary to support the platform team in evaluating value addition. Define and assess the OKRs and goals related to the platforms performance. Provide top-tier business intelligence through dashboards and executive reporting to the Acquisitions Center of Excellence and Line of Business leadership. Construct business cases that drive prioritization and investment in Acquisition & Enablement Platforms. Communicate effectively with product, technology, data, and design teams to identify and advance a data-driven analytical roadmap. Serve as the Acquisition Center of Excellence Analytics local site lead, overseeing local operations and contributing to the expansion of the teams presence in India. Required Qualifications, Capabilities, and Skills 5+ years leveraging data visualization tools for data exploration and marketing performance evaluation. Proven ability to lead and manage teams effectively, showcasing strong leadership skills. Experience in querying big data platforms and SAS/SQL. Comfort building and managing relationships with both analytics and business stakeholders. Proven track record of problem-solving using data and building new analytics capabilities. Talent for translating numbers into an actionable story for business leaders. Experience with best-in-class web analytic tools (Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc). Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners. Bachelor s degree is required, with data science, mathematics, statistics, econometrics, engineering, MIS, finance, or related fields accordingly. Preferred Qualifications, Capabilities, and Skills Financial services experience preferred. Tableau experience preferred. Familiarity with Teradata, AWS, & Snowflake preferred.

We are currently seeking an experienced professional to join our team in the role of LEAD ASSISTANT VICE PRESIDENT- DECISION SCIENCES Principal responsibilities Undertake model validation activities as dictated by the Global Model Risk Policy including the assessment of; model inputs, calculations, reporting outputs, conceptual soundness of the underlying theory and the suitability of the use for its intended purpose, relevance and completeness of data, qualitative information and judgements, documentation, and implementation of the model. Provide written reports detailing the results of validations highlighting issues identified during the validation. Validate remediation activities completed by the ILOD to ensure appropriate resolution of identified issues. Work with relevant stakeholders to support the embedding of new Global Model Risk Policies and Procedures Provide coaching and guidance to new starters and junior colleagues. Deliver, high quality, timely validation reports that add value to the business. Communicate across technical quantitative, business and strategic levels to ensure that stakeholders understand the implications of model risks and limitations. Contribute to management, regulatory, and external confidence in all models used across the group. Requirements Candidate should have worked on either development or validation of econometric forecasting PPNR models for key Balance sheet and income statement line items for capital and business planning purposes. This includes the calculation of Net Interest Income ( NII ), Non Interest Revenue ( Non-NIR ), Interest Rate Exposure ( IRE ), Economic Value Sensitivity ( EVS ), and other associated PPNR/Interest rate risk metrics. Candidate should have understanding of statistical techniques such as Time Series Analysis, Panel Regression, Error Correction Models, Seemingly Unrelated regression, Co-integration, and Linear/Logistic Regression. Candidate should be able to effectively steer stakeholder conversations with FLoD including Model developers/Sponsors/Business, etc. He/she should be able to effectively contribute in developing or maintaining a comprehensive model validation framework that adopts a consistent approach to data quality and modelling methods, audit, back test, tracking, Annual/Semi Annual/Quarterly validations. This is critical in regulating, monitoring and reducing the model risks. Candidate should have good understanding of various other mandatory regulatory expectations such as FRB/OCC/PRA guidelines and SR 11-7. Person should be familiar with concepts of time series modelling and its use in different stress testing exercises. Candidate should have good understanding of Wholesale/Retail - AIRB/CCAR models as well as basic understanding of different wholesale portfolios such as Corporate, NBFI s, SME, MME and Large and global enterprises etc. or Retail Portfolios such as Cards, Mortgages, Payrolls, PILs, DDA Deposits, Time Deposits, etc. He/she should be able to validate models used for different regulatory perspective such as OCC/FRB, EBA Guidelines and PRA regulations. Minimum 5-10 years of experience of financial model validation/development experience in Risk Management in Wholesale/Retail domain or related areas Proficiency in SAS / R, Python MS Office tools like Excel & PowerPoint. Experience of developing and reviewing models throughout the customer lifecycle. Experience of conducting independent model reviews is beneficial. Candidate should be able to go through vast range of documentation and come up with concise set of questions highlighting model risk in the model. Excellent written and verbal communication skills. Ability to develop and effectively communicate complex concepts and ideas. Master s or PhD degree in a quantitative discipline like Financial Mathematics, Statistics, Econometrics, Quantitative Finance, Economics, Engineering or any other quantitative field of study (STEM).

About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance, and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. At Swiss Re we combine experience with creative thinking and cutting-edge expertise to create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. We offer a flexible working environment where curious and adaptable people thrive. The Opportunity Are you looking forward to further enrich your underwriting skills and international market knowledge in a dynamic fast paced world of a highly specialized and global re/insurance organization? Are you ready to work closely with our Asia Pacific Facultative desk underwriters and provide them with underwriting and analytics support? If yes, here is your opportunity to be part of a growing Facultative underwriting community across APAC. In your role, you will be contributing to the success of Swiss Res Facultative growth ambition in Asia Pacific. You are expected to be proficient in Property underwriting, man-made and NAT CAT modeling and possess good knowledge of re/insurance market. We are also looking for someone who has a commercial mindset and strong collaboration skills with dedication and eagerness to learn. The Team The Bangalore (BLR) Facultative Team is a strategic offshore operating hub responsible for providing facultative underwriting support to Swiss Re Asia Pacific markets across Property and Casualty lines of business. The Hub is working closely with the overseas facultative desk underwriters to provide underwriting support on property risks of simple to medium complexity. You will get in-depth exposure to Swiss Re s underwriting practices, risk model platforms, costing tools as well as an opportunity to work with Swiss Res overseas underwriters! In addition to your regular responsibilities, you will have the opportunity to contribute to various projects of strategic importance to Swiss Re Group specifically for APAC region. Key responsibilities Provide high quality underwriting support to overseas underwriting desks for Swiss Re Asia Pacific markets (Japan, South Korea, China, Hong Kong, Taiwan, Singapore, Southeast Asia, India & India sub-continent, Australia and New Zealand), which will include but not limited to: Internal underwriting support and risk assessment according to underwriting guidelines of simple to medium complexity property single risks. Operating within the Swiss Res Legal and Permanent Establishment and regulatory framework Costing / risk modelling / pricing support on facultative contracts and underwriting documentation. Underwriting analytics support on single risks, facilities and SwiftRe (on-line platform) business. Support on offer preparation/drafting, wording/conditions review. Preparing Underwriting assessment by review of Risk engineering reports and inferring the risk quality. Ad hoc projects driven by Underwriting or cross-functional teams. Suggest improvements to existing process, models, and tools. Maintain the defined work quality and turnaround time for risk assessment. Establishes & maintains positive relationship with internal partners Identify & resolve service issues with internal clients /stakeholders. Prepare client/region specific reports and share strategic inputs/solutions with internal partners Knowledge and Skills Postgraduate/graduate degree preferably in the field of Natural Science, or a quantitative field (e.g., engineering, statistics, Mathematics, Econometrics) which is closely related to these subject areas. Professional qualification in insurance e.g., FIII, CII would be an added advantage. Competent in Property re/insurance underwriting, single-risk assessment, risk modelling and contract preparation, with 3-5 years of relevant Underwriting experience. Strong understanding of underwriting methods, reinsurance, tools, and processes. Experience in facility / portfolio underwriting analytics would be an added advantage. Ability to analyze large data sets, bring out data insights and draw meaningful conclusion. Excellent oral and written English skills. Other foreign language will be added advantage. Strong motivation to learn about re/insurance and overseas markets. Good teammate, able to collaborate across teams in a multi-cultural and matrix environment Taking ownership and have proactive problem-solving aptitude. Ability to deliver strong results and bring in new insights with innovative approach to constructively challenge the status quo. About Swiss Re If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 133984

JD 1: SIS – DQM- Data Quality team (C10) About us: AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast growing organization working with Citi businesses and functions across the world. What do we offer: DQM team manages the implementation of best in class data quality measurement programs for US region, retail consumer bank. The critical areas we support: Regulatory Support: Execution of business data quality measurements as per regulatory programs like CCAR, AML etc DQ rules Design: Identification of critical data elements in different systems, data quality rules design, testing and validation of rules Data Governance: Standardization of data definitions and ensuring consistency in measurement as per definitions across systems/products/regions DQ Score cards : Publishing monthly/quarterly score cards at product level and preparing executive summary reports for senior management Issue Management: Identifying defects and investigating root causes for different issues. Following up with stakeholders for resolution as per SLA Audit Support: Identifying cases on control gaps, policy breaches and providing data evidence for audit completion Expertise Required: Analytical Skills Data analysis and visualization Proficient in formulating analytical methodology, identifying trends and patterns with data Generate actionable Business Insights (Preferred) - Tools and Platforms Proficient in SAS, SQL Proficient in MS Excel, PowerPoint Domain Skills Good understanding of Data definitions and data discovery Data quality framework Data Governance Data Warehouse Knowledge (Preferred) - Knowledge of Finance Regulations, Understanding or Retail Business Soft Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Should have excellent communication and inter-personal skills Good process management skills Ability to work in teams Educational and Experience: MBA / Mathematics / Information Technology / Computer Applications / Engineering from a premier institute. BTech / B.E in Information Technology / Information Systems / Computer Applications (Preferred) Post Graduate in – Computer Science, Mathematics, Operations Research, Econometrics, Management Science and related fields 2 to 5 years of hands on experience in delivering data quality solutions, with at least 1 year experience in Banking Industry ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

About the Role: Grade Level (for internal use): 08 Department overview The Pricing and Purchasing team under Global Intelligence & Analytics, at S&P Global Market Intelligence delivers vital price, cost and inflation information that helps companies recognize millions of dollars in cost savings. We do this by pulling apart the cost structure of our clients suppliers, and providing a detailed analysis of their prices, costs, demand, and productivity. This gives our clients a strategic advantage in negotiating with suppliers, as well as a blueprint of when to make big purchases, and why. We are seeking an Economist with 3-5 years of experience to join this growing team. In this role, you will develop, enhance, and expand our analyses and forecasts with specific emphasis on translating insights into relevant, actionable client solutions. S&P Global Market Intelligence is looking for a data-driven analyst monitor, forecast, and present the price outlook for their assigned industry. In this role, you will work directly with clients in support of sales, answering ad-hoc pricing questions, demonstrating our price forecast methodology, and explaining our current outlook. Specifically, you will: Monitor and update the historical and forecast data Actively participate in forecast model development efforts Forecast near-term prices for a global buying audience Create monthly and quarterly reports with emphasis on the drivers of the near-term price outlook Respond to clients research-related questions by providing thought leadership and timely insight Support coverage and expansion in Asia Required Education/Experience BA/MA in Economics plus 3-5 years of related experience. Required Skills and Attributes: Strong and adaptable research and analytical skills, including ability to interpret data and research, and write/produce structured, compelling reports Statistical / modeling experience, preferably in EViews Coordination skills; ability to prioritize own workload and work to deadlines and under pressure Strong team spirit Customer-focused background Understanding of labor markets is preferred. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, andmake decisions with conviction. For more information, visit . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwideso we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Our benefits include: Health & WellnessHealth care coverage designed for the mind and body. Flexible DowntimeGenerous time off helps keep you energized for your time on. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visit Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - ----------------------------------------------------------- RESECH202.1 - Middle Professional Tier I (EEO Job Group), RESECH203 - Entry Professional (EEO Job Group)

Are you passionate about creating innovative solutions that empower users to achieve more with Office applications? Do you have a strong background in natural language processing, generative AI, and engineering? If so, we are looking for you to join our team of data and applied science engineers working at the intersection of generative AI and engineering for Office. In this role, you will drive cutting-edge projects, contribute to the Copilot ecosystem, and help shape the Agentic future with one of the most widely used software products in the world. Responsibilities Research and Development: Develop a deep understanding of state-of-the-art tools, technologies, and methods in the research community and product groups. Design and implement fundamental technologies, and drive applied research to enable better search and information retrieval experiences for consumers and enterprises alike. Project Management: Drive projects end-to-end, from design through implementation, experimentation, and ultimately shipping features to users. Own the development of state-of-the-art machine learning and deep learning algorithms leveraging text, images, and video for analyzing and transforming content to build world-class search and AI products. Collaboration: Work in a diverse, geographically distributed team environment where collaboration and innovation are valued. Partner closely with cross-functional stakeholders (engineering, research, product management) to define project goals, success criteria, and deliverables, ensuring alignment and shared vision. Innovation: Stay abreast of the latest research and trends in generative AI, natural language processing (NLP), and related fields. Explore new opportunities and tackle emerging challenges to keep our products on the cutting edge. Lead the team to continuously improve solutions (e.g., enhancing the precision and recall of intelligent systems or bot detection algorithms) by incorporating new signals, data sources, and algorithms. Qualifications Educational Background: Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, or other related technical field (e.g., mathematics, physics, statistics, or similar). Experience: At least 8+ years of industry experience, with strong proficiency in coding in Python for software development and data science. (Experience with additional programming languages is a plus but not required.) Skills: Proficiency in Python-based machine learning frameworks and libraries such as PyTorch and TensorFlow, and experience developing and deploying generative AI or machine learning models into production. Strong communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences. Problem-Solving: Demonstrated ability and motivation to understand complex business contexts and to solve hard, open-ended problems. A proactive mindset in tackling challenges and optimizing solutions to deliver business impact. Additional or Preferred Qualifications Advanced Degree (Preferred): Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field and 9+ years of related experience; OR Doctorate in one of the above fields and 6+ years related experience; OR equivalent industry experience. Research & Publications: 5+ years of experience contributing to research publications (e.g., patents, academic papers, open-source libraries) that showcase innovative thinking and technical depth. Research Excellence: 5+ years of experience conducting original research as part of a formal research program (in academic or industrial settings), with proven ability to drive insights from concept to execution. Production Deployment: 3+ years of experience developing and deploying live production systems as part of a product team, ensuring solutions are scalable, reliable, and maintainable. Product Lifecycle Experience: 3+ years of experience contributing to products or systems at multiple stages of the development lifecycle, from initial ideation and prototyping to final production deployment and ongoing iteration. Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. Show more Show less

Entity: Technology Job Family Group: IT&S Group Job Description: Let me tell you about the role The Manager, Geospatial Technology, will have expertise in technology, data, analytics, engineering and science solutions and projects in respect to location. They will lead a squad as part of the wider Geospatial team within Oil and Gas Technology gaining exposure to pioneering technologies and their real-world applications. They will interface closely with other Geospatial SMEs, Digital Product, and business partners to deploy and develop Geospatial technology, data & analytical solutions to meet business challenges across a wide range of domains including Production, Projects, Subsurface & Wells, Crisis, Renewables, and Refining. What you will deliver Team leadership and people management expectations: Provide direction to subordinates & other resources within the Geospatial Technology Team. Relevant experience in a Geospatial Technical Leadership role. Actively balance the workloads, priorities and important metrics of team members. Entitle team members to drive improvements to Geospatial products and solutions. Develops data expert capability within the team and identifies development opportunities Key technical capabilities and expectations: Develop innovative solutions and procedures and promote standard methodology to improve efficiency and quality within the geospatial team and across products. Geospatial Technology: experience in the use and deployment of geospatial technology including configuration and connectivity (eg. Cameras, Handhelds, AR/VR equipment, sensors, GPS, drone). Geospatial Data Management: use of spatial databases, spatial access methods, coordinate reference systems, representation of spatial objects, image processing, query processing, spatial data infrastructures, data manipulation, data security. Geospatial Analysis: Query operations and languages, earth geometry and geodesy, analytical operations, analysis of surfaces, spatial statistics, geo-statistics, spatial regression and econometrics, data mining, network analysis, optimization, and location allocation modeling. Spatial Data Visualization: including data considerations, principles of map design, graphic representation techniques, map production, development of web-based maps, applications, and dashboards. Reality capture: experience and knowledge of reality capture data formats, 3D models, QC workflows, loading techniques, and data integration for visualization and analysis. Ability to import, export and manipulate data between Geospatial systems and other applications, applying tools such as FME and Databricks. Expertise in one or more data-related technologies/languages (e.g. Python, R, Java Script, etc. Expertise in the ArcGIS Desktop and Enterprise suite of tools (ArcGIS Pro, Server, Portal and associated API’s). What you will need to be successful (experience and qualifications) Creating innovative solutions to improve process, workflow, standard methodology, and service delivery. Challenging conventional thinking, problem solving and innovating. Actively seeking to apply data science techniques; automation and machine learning, including the use of analytical and visualization tools to translate data and interpreted results into actionable insights and value. Citizenship: Engage in honest conversations and encourage team members to ask questions and actively listen to concerns; you are inclusive & collect diverse set of opinions and ideas, seeking out the silent voice; You use your own skills & experience to upskill others. Understand how your work with data impacts bp with respect to safety, financials, or other high value impacts. Identify continuous improvement opportunities to create safer operations, reduce cost, or other opportunities with data. Autonomy in problem identification and problem breakdown: end-to-end project ownership: Independently identify problems to be solved in your team / sub-area because of in-depth technical and business understanding; you can concretize vague, complex and broad problems and break them down into actionable sub-problems and tasks, help line up and concretize projects for more junior team members. Stakeholder Management: Proactively contact to partners to identify project needs and suggest solutions. Change Management: Recognize and efficiently build, communicate, and handle the business case for change – the costs and the benefits, building energy around the change. Use change as an opportunity to advance business objectives. Communication Skills: Communicate orally and in writing to a technical and non-technical audience. Business impact: Have business impact on one or multiple important metrics of your team, you are seen as a thought partner to the business! Qualifications: Experience – 12+ years in a similar role. Bachelors / Master’s degree, GIS, Geospatial, Geospatial Survey, Geographic Science, Computer Science, and other related fields, or related bachelor’s degree with some relevant experience. About Bp bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people’s lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform important job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries . As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture . Department Profile From global institutions to hedge funds, investors come to Morgan Stanley for sales, trading, and market-making services in almost every type of financial instrument in all the world’s financial markets. Morgan Stanley professionals use our network and technology to provide liquidity and sophisticated analysis, to manage risk and execute reliably in the fast-changing markets. Morgan Stanley’s Institutional Equity Division (IED) is a world leader in the origination, distribution and trading of equity, equity-linked and equity-derivative securities. Our broad and deep client relationships, market-leading platform and intellectual insights enable us to be a world-class service provider to our clients for their financing, market access and portfolio management needs. Global Markets Group is the offshoring arm of Morgan Stanley’s Sales & Trading businesses in India. It covers functions across IED and Fixed Income Division (FID) ranging from those associated with sales, trading, analytics, strats to risk management. Primary Responsibilities The candidate will be based out of Mumbai and will be working with the Equities Exotics Trading desk (London). The role suits a self-motivated, highly energetic individual who has a strong background in mathematical analysis. The role offers great opportunity to the candidates to build on their knowledge of and exposure to Equity Derivative products, risks as well as valuation. The candidate will be involved in – Trade Support/Capture Expiries/Determinations/Fixings Secondary Market/Indications Inventory Management/Treasury Unwinds Monitor upcoming autocall/barrier events, send report to trading/sales Track daily price movement in the books vs the market. Analyse the correlation in the movement. Track and analyse the hit-ratios for all of the Structured Derivatives books Daily PnL Attribution Send periodic pricing runs together in conjunction with trading and FE desk Generate internal marketing presentations for products Track/Monitor Index changes coming up in the week ahead. Skills Required (essential) We are looking for a confident and outgoing person, who has exceptional attention to detail and is proactive in taking initiative. Engineers (Tier 1 institute) with MBAs (preferred but not must) 1-6 years’ work experience in Banking/Financial Services in Equity Exotics – Hybrids, SNO, Index Derivatives Coursework/Strong understanding in Economics, Econometrics, Finance Good communication skills – written as well as telephonic. There will be regular communication with the trading desk and the person needs to be able to understand the requirements and express their thoughts clearly. High level of attention to detail Proficiency in MS Office products – Excel, Powerpoint Advance knowledge of VBA and programming in C++ Coursework in Statistics is a plus In addition, the candidate should have theoretical or practical understanding of - Option Greeks and their behavior over time Derivative products like Swaps, Swaptions, Spread Options, Cap/Floors, range accruals, Digitals etc. Basic options trading strategies General behavior of Equity Derivatives markets – Flow and Structured Products What You Can Expect From Morgan Stanley We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Show more Show less

Designation: Quantitative Economics Faculty The faculty will be responsible for teaching students preparing for various entrance exams/ competitive economics exams, preparing study material, making question papers, and any other work of similar nature assigned by the company. The subject knowledge in Econometrics , Statistical Economics, Quantitative economics, etc., and various competitive examinations. Key Responsibilities: 1. Instruction Delivery: Deliver engaging and interactive lectures, presentations, and discussions on various topics in economics, such as microeconomics, macroeconomics, econometrics, and economic theory. Utilize effective teaching methodologies and strategies to enhance student learning and comprehension. 2. Academic Support: Assist students in understanding complex economic theories, principles, and applications through individualized guidance and mentoring. Address student queries, provide clarification, and offer additional resources to support their learning needs. Essential Requirement: 1. Must have appeared/qualified in UGC NET in economics or have given any MA entrance exam and cleared it. 2. Proficiency in instructional design and delivery methods(content delivery). 3. Faculty who have appeared for the IES(Indian Economics Services) Exam will given preference. Type: Work from Home Work type: Full time / Part time / Per hour Show more Show less

Position Overview In Scope of Position based Promotions (INTERNAL only) Job Title: MoRM Risk and Capital, Associate Location: Mumbai, India Role Description Model Risk Management (MoRM) is responsible for holistic management of model risk. This includes the independent validation of internal models as well as the identification and the monitoring and controlling of model risk. Within MoRM, the ‘Portfolio Models and Alpha’ validation team is responsible for the validation of all portfolio models developed for Credit Risk (including validation of the Alpha factor designed to capture ‘wrong way’ risk in derivatives transactions), Business Risk, Operational Risk and Risk Type Diversification. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Self-contained validation of business and infrastructure models with main focus on AFC models and discussion of validation results with involved stakeholders Analyze the underlying mathematical methods, verify adequacy of models and their implementation. Serve as contact person regarding all methodology aspects of covered models Preparation of impact studies and presentations in relevant governance committees Review and assessment of analyses and changes done by developers to close existing validation issues Presentation of validation results to external supervisors Assess and actively manage the model risk of the relevant models by e.g. ensuring adherence to model documentation standards Your Skills And Experience Academic degree in Mathematics, Statistics, Physics, Econometrics or similar discipline Ability to explain mathematical concepts and results in layman's terms Professional experience 2 - 4 yrs in Credit risk and Anti-Financial-Crime Risk model development or validation are a requirement Proficient use of programming languages (Python, SAS, R, SQL) as well as experience in Machine Learning IT affinity; proficient user of MS Office Proficiency and experience in data analysis and evaluation and understanding of IT processes Very good knowledge of Monte Carlos methods and modeling/validation of portfolio models Experience in risk management is beneficial Business fluent written and verbal skills in English, German language skills are beneficial How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

Job Description The Risk division is responsible for credit, market and operational risk, model risk, independent liquidity risk, and insurance throughout the firm. Analytics & Reporting (A&R) is a group within Risk Engineering in the Risk Division of Goldman Sachs. The group ensures the firm’s senior leadership, investors and regulators have a complete view of the positional, market, and client activity drivers of the firm’s risk profile allowing them to take actionable and timely risk management decisions. Risk Engineering is a multidisciplinary group of quantitative experts who are the authoritative producers of independent risk & capital metrics for the firm. Risk Engineering is responsible for modeling, producing, reviewing, interpreting, explaining and communicating risk & capital metrics and analytics used to ensure the firm adheres to its Risk Appetite and maintains the appropriate amount of Risk Capital. Risk Engineering provides risk & capital metrics, analytics and insights to the Chief Risk Officer, senior management, regulators, and other firm stakeholders. Role Responsibilities A&R delivers critical regulatory and risk metrics & analytics across risk domains (market, credit, liquidity, operational, capital) and firm activities via regular reporting, customized risk analysis, systematically generated risk reporting and risk tools . Responsibilities A&R has a unique vantage point in the firm’s risk data flows that, when coupled with a deep understanding of client and market activities, allows it to build scalable workflows, processes and procedures to deliver actionable risk insights . The following are core responsibilities for A&R: Delivering regular and reliable risk metrics, analytics & insights based on deep understanding of the firm’s businesses and its client activities. Building robust, systematic & efficient workflows, processes and procedures around the production of risk analytics for financial & non-financial risk, risk capital and regulatory reporting. Attesting to the quality, timeliness and completeness of the underlying data used to produce these analytics . Qualifications, Skills & Aptitude Eligible candidates are preferred to have the following: Masters or Bachelors degree in a quantitative discipline such as data science, mathematics, physics, econometrics, computer science or engineering. Entrepreneurial, analytically creative, self-motivated and team-oriented. Excellent written, verbal and team-oriented communication skills. Experience with programming in Python and SQL for extract transform load (ETL) operations and data analysis (including performance optimization). Experience in using languages such as R, Java, C++ is beneficial. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Tableau, Alteryx, PowerBI, and front-end technologies and languages. Working knowledge of the financial industry, markets and products and associated non-financial risk. Working knowledge of mathematics including statistics, time series analysis and numerical algorithms. 1-3 years of experience, preferably in financial, regulatory or consulting environment About Goldman Sachs At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity Show more Show less

Why We Work at Dun Bradstreet Dun Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers . The Role: As part of Dun Bradstreets Data Analytics team, you will participate in all aspects of modeling engagement, including design, development, validation, calibration, documentation, approval, implementation, monitoring, and reporting. You will research complex business issues and recommend solutions, including model features, end products and any data required to support growing Dun Bradstreet initiatives. Key Responsibilities: Utilize the latest data science techniques across both supervised and unsupervised machine learning methodologies, Natural Language Processing, and graph analysis in automating and scaling internal business processes. Establish and maintain strong relationships with key business stakeholders. Engage clients and DB colleagues to identify business needs and develop, implement, and manage solutions. Strong communication skills and the ability to simplify and explain complex concepts for stakeholders, clients, and senior leaders. Participate in all aspects of a modeling engagement, including design, data requirements, development, validation, calibration, documentation, approval, implementation, monitoring and reporting. Develop Global Analytic Solutions inclusive but not limited to statistical models based on DB s established best practices, methodologies, and tools. Research complex business issues and recommend solutions, including model inputs and end products, focusing on addressing specific customer needs and use cases. Serve as a Subject Matter Expert on predictive models within the team and with business users; consult with the business, as appropriate, on predictive modeling solutions. Enjoy and share academic literature and industry best practices. Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business cases and go to market strategies. Validate the performance of existing quantitative risk models and recommend changes when necessary. Drive timely retrieval of risk analytics data from existing systems to create algorithms that meet business needs. Key Skills Master s Degree or Ph.D. in a quantitative/applied field preferred (Statistics, Econometrics, Computer Science, Operations Research, Mathematics, Engineering). 7+ years operating successfully in data science roles, especially roles requiring cross-company collaboration and disciplined delivery of initiatives. Hands-on experience applying modern machine learning techniques. Ability to program in other statistical analysis languages, proficiency in programming languages (Python, R, SQL). Experience in feature engineering, automation, network analysis or Natural Language Processing. Experience working with outside clients on statistical engagements. Ability to manage multiple assignments, many of which have challenging timelines. Ability to work independently, as well as collaborate effectively in a team environment. Excellent communication and presentation skills. Proficiency in Microsoft Office Suite. Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success. Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs. Where applicable, fluency in English and languages relevant to the working market. . .

About the Role As a Senior Data Scientist, you will be instrumental in advancing our Media Measurement platform and data science capabilities. You will develop innovative solutions that provide precise, actionable insights to our clients through advanced modeling techniques, automation, and causal inference methodologies. This role combines deep technical expertise with business acumen to drive innovation in media measurement. Key Responsibilities: Develop and enhance media measurement models, incorporating various media variables, market factors, and causal signals Implement advanced statistical techniques including Bayesian inference, hierarchical models, and experimental design Design and maintain automated systems for model training, deployment, and monitoring Collaborate with Product and Engineering teams to integrate data science solutions into our platform Translate complex analytical outputs into actionable business insights Lead R&D initiatives to explore and implement cutting-edge measurement methodologies Provide expert guidance on measurement results and business recommendations Drive innovation in media measurement science and methodology Required Qualifications: 5+ years of experience in data science, with focus on media analytics, econometrics, or causal inference B.S. or higher in Mathematics, Computer Science, Statistics, Data Science, or related quantitative field Strong expertise in media measurement and attribution methodologies Proficiency in Python, SQL, and statistical modeling techniques Experience with large-scale data processing and probabilistic modeling Strong problem-solving skills and ability to work independently Excellent communication skills for both technical and non-technical audiences Experience with model deployment and monitoring at scale Good to have: Experience in Geo Incrementality Testing and analysis Background in Media Mix Modeling (MMM) Experience with marketing effectiveness measurement Familiarity with A/B testing and experimental design Experience with marketing analytics platforms and tools Show more Show less

Position Summary Economics Postgraduate - Analyst – CoRe Research & Insights – Deloitte Support Services India Private Limited Are you eager to explore the world of business insights and market intelligence? Do you thrive on understanding the complex relationships between business economics, industry dynamics, and the macroeconomic environment? If so, CoRe Research & Insights offers an exciting opportunity. Our team develops, writes, and presents comprehensive market intelligence, empowering Deloitte’s global leaders with strategic insights and actionable strategies. Work you’ll do The ideal candidate will play a pivotal role in providing strategic insights and advanced economic analysis to support senior leadership and clients. The candidate will be instrumental in interpreting complex data, monitoring industry trends, and presenting findings through effective data visualization techniques. Your Key Responsibilities Will Include Provide strategic insights to Deloitte’s senior leadership on key markets and client priorities, encompassing growth strategies, competition, innovation, industry disruptions, and alliances and ecosystems. Master and apply research tools and methodologies to develop comprehensive consultative research solutions tailored to client needs. Conduct in-depth analysis across strategic, macroeconomic, and public policy domains by synthesizing various pieces of information, identifying patterns, and constructing a logical framework to deliver compelling analyses. Develop and apply advanced econometric models to interpret complex data sets and forecast economic outcomes, providing actionable insights. Continuously monitor, analyze, and interpret the latest developments in economics, public policy, and related fields to inform and enhance strategic recommendations. Utilize data visualization techniques to present complex economic data and insights. Engage with clients to understand their needs, communicate findings effectively, and provide tailored recommendations that address their specific challenges and opportunities. Foster a culture of innovation by continuously seeking opportunities to improve research methodologies, analytical tools, and strategic frameworks. Qualifications Master's degree in economics. Exceptional communication skills reflect the ability to build a robust narrative and articulate a point of view in written and spoken business English. Specializations in econometrics, macroeconomics, public policy, or financial economics are highly desirable. Proficiency in statistics and econometric modeling techniques. Familiarity with data analysis software (e.g., R, SAS, Python). Good knowledge of public sector-related databases (OECD, World Bank, IMF, etc.), public sources of information Proficiency in Microsoft Office Suite (PowerPoint, Word, and Excel). Strong interpersonal skills with the ability to work effectively in a team environment. Exposure to Generative AI tools and prompt engineering is an added advantage. Location: Hyderabad Timings: 11 AM to 8 PM The team CoRe Research & Insights provides secondary research and analysis services to global Deloitte Member Firms supporting pursuit, business development, practice development, and client engagements. The team uses exclusive sources, specialized research skills, and industry expertise to develop insightful research reports, delivering significant value to customers across Deloitte’s global network. Learn more about Deloitte. How You’ll Grow At Deloitte, we’ve invested much to create a rich environment where our professionals can grow. We want everyone to develop their way, playing to their strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with various learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in the same way. So, we provide various resources, including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices, is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices to help them be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain an inclusive culture that invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines us and extends to relationships with our clients, people, and communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. #EagerForExcellence #EAG-Core Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300936 Show more Show less

Purpose India’s agriculture sector (crop, livestock, fisheries, and forestry) accounts for ~13% of total greenhouse gas emissions. With ambitions to achieve net zero by 2070, the agriculture sector is to play a crucial role in the journey, balancing food and nutritional security while being the major driver of land-use change. Consequently, strategizing for mitigation from the AFOLU sector by accounting for population -growth, urbanisation, agricultural expansion, and forest conservation, necessitates micro analysis of demand and supply side interventions alongside India’s macroeconomic trajectories. Keeping this complex challenge in mind, CEEW seeks to hire a suitable candidate for the Programme Associate position in the Sustainable Food Systems team to expand its capacity in developing Integrated Assessment tools for informing mitigation oriented policies for the AFOLU sector. We are looking for a detail-oriented and ownership wielding researcher with a hunger for impact and the ambition to ensure a sustainable net-zero, nature-positive food systems. The successful applicant will assist the team members in undertaking robust quantitative analysis. In addition to the duties and responsibilities outlined below, the Programme Associate should be prepared, as and when necessary, to take on additional responsibilities and respond to events and developments that cannot be anticipated easily. Job duties and accountabilities Lead the allocated project(s) under the programme end-to-end. This includes, but not limited to (i) framing the research questions, (ii) identifying the target audience (states, industry, ministry), (iii) developing the strategy, (iv) conducting literature review, (v) collecting data from secondary as well as primary sources, if needed, (vi) performing necessary analysis, employing diverse qualitative and quantitative research methods, (vii) developing an outreach strategy, (viii) strategic dissemination of the research and (ix) assessing the impact created. Review large amounts of data using a variety of methodologies and software tools. Lead in writing research reports/papers, briefs and issue notes which could be circulated among industry associations, state and central government officials and other stakeholders. Work with senior researchers on conceptualising new research projects. Lead the strategic outreach of the research outputs through engagement with a broader network of policymakers, industry and other stakeholders. Travel to states, whenever necessary, to conduct meetings, community engagements, and collect primary data. Mentor research analysts/consultants/interns as required. Selection Criteria Education Strong academic credentials, Master’s degree preferably in economics/environmental economics/statistics, or in related fields such as energy economics, development economics, public health, public policy. Work Experience and Key Skill Requirements At least 4 to 7 years of experience in agricultural economics, public health, food systems or bioenergy. Experience or exposure to at least one type of Integrated Assessment Modelling (IAMs) and Econometrics Model. Sound understanding of the relevant fields of study, and related policy environment. Extensive experience in conducting high quality quantitative data analysis and stakeholder management. Analytical skills and knowledge of mixed methods – qualitative and quantitative research methods, relevant for impact evaluation, food system analysis, political economy analysis etc. Knowledge of econometric modelling (mandatory), in particular impact evaluations (preferred). Experience in using statistical software - R/Stata/Python (mandatory). Experience in using mathematical optimization software is a plus. Experience in GIS based analysis using QGIS/ArcGIS, etc (preferred). Experience in designing primary studies (mandatory) – study design, design of survey tools, survey execution, training of survey teams. Experience in designing studies. Experience in designing survey tools. Experience in survey execution, managing engagement with survey agency, training survey teams. Experience in data cleaning and analysis of large secondary or primary datasets. Experience in engaging on field activities, for data collection/training of enumerators/sampling of households/pilot testing/monitoring activities. Experience in leading and managing projects (or aspects of some projects) independently. Experience in making budgets for projects, designing concept notes and full proposals (or aspects of the same) for donors. Knowledge of issues pertaining to sustainable food systems, policy areas and consumer trends. Proficiency in using MS Office Suite. Strong writing, networking and communication skills. Proven track record of delivering high quality research publications and written content for different media. Skills Sharp and analytical mind with a willingness to explore new research areas, learn new research and project management skills. Ability to adapt and deliver under tight deadlines in a professional environment. Striving for rigour in research and quality in work output. Ability to effectively work in a team while being able to independently drive research if, and when, needed. Ability to dig deeper into details, while not losing sight of the broader objectives. Willingness to learn, grow and develop - both in personal and professional life - at a rapid pace with a steep learning curve. Ability to work in an interdisciplinary and multicultural environment. Strong drive and initiative, a self-starter. If you are passionate about evidence-based policy research for food systems, we would like to speak to you. If you can conceptualise and communicate clear research on the issue, then we would definitely consider hiring you! If you can collaborate closely with others to make this happen, you are probably the candidate we are looking for. CEEW operates in a dynamic environment and the candidate will be required to show flexibility in undertaking a variety of tasks. Show more Show less

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Ab Initio Data Engineer We are looking for Ab Initio Data Engineer to be able to design and build Ab Initio-based applications across Data Integration, Governance & Quality domains for Compliance Risk programs. The individual will be working with both Technical Leads, Senior Solution Engineers and prospective Application Managers in order to build applications, rollout and support production environments, leveraging Ab Initio tech-stack, and ensuring the overall success of their programs. The programs have a high visibility, and are fast paced key initiatives, which generally aims towards acquiring & curating data and metadata across internal and external sources, provide analytical insights and integrate with other Citi systems. Technical Stack: Ab Initio 4.0.x software suite – Co>Op, GDE, EME, BRE, Conduct>It, Express>It, Metadata>Hub, Query>it, Control>Center, Easy>Graph Big Data – Cloudera Hadoop, Hive, Yarn Databases - Oracle 11G/12C, Teradata, MongoDB, Snowflake Others – JIRA, Service Now, Linux, SQL Developer, AutoSys, and Microsoft Office Responsibilities: Ability to design and build Ab Initio graphs (both continuous & batch) and Conduct>it Plans, and integrate with portfolio of Ab Initio softwares. Build Web-Service and RESTful graphs and create RAML or Swagger documentations. Complete understanding and analytical ability of Metadata Hub metamodel. Strong hands on Multifile system level programming, debugging and optimization skill. Hands on experience in developing complex ETL applications. Good knowledge of RDBMS – Oracle, with ability to write complex SQL needed to investigate and analyze data issues Strong in UNIX Shell/Perl Scripting. Build graphs interfacing with heterogeneous data sources – Oracle, Snowflake, Hadoop, Hive, AWS S3. Build application configurations for Express>It frameworks – Acquire>It, Spec-To-Graph, Data Quality Assessment. Build automation pipelines for Continuous Integration & Delivery (CI-CD), leveraging Testing Framework & JUnit modules, integrating with Jenkins, JIRA and/or Service Now. Build Query>It data sources for cataloguing data from different sources. Parse XML, JSON & YAML documents including hierarchical models. Build and implement data acquisition and transformation/curation requirements in a data lake or warehouse environment, and demonstrate experience in leveraging various Ab Initio components. Build Autosys or Control Center Jobs and Schedules for process orchestration Build BRE rulesets for reformat, rollup & validation usecases Build SQL scripts on database, performance tuning, relational model analysis and perform data migrations. Ability to identify performance bottlenecks in graphs, and optimize them. Ensure Ab Initio code base is appropriately engineered to maintain current functionality and development that adheres to performance optimization, interoperability standards and requirements, and compliance with client IT governance policies Build regression test cases, functional test cases and write user manuals for various projects Conduct bug fixing, code reviews, and unit, functional and integration testing Participate in the agile development process, and document and communicate issues and bugs relative to data standards Pair up with other data engineers to develop analytic applications leveraging Big Data technologies: Hadoop, NoSQL, and In-memory Data Grids Challenge and inspire team members to achieve business results in a fast paced and quickly changing environment Perform other duties and/or special projects as assigned Qualifications: Bachelor's degree in a quantitative field (such as Engineering, Computer Science, Statistics, Econometrics) and a minimum of 5 years of experience Minimum 5 years of extensive experience in design, build and deployment of Ab Initio-based applications Expertise in handling complex large-scale Data Lake and Warehouse environments Hands-on experience writing complex SQL queries, exporting and importing large amounts of data using utilities Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi . View the " EEO is the Law " poster. View the EEO is the Law Supplement . View the EEO Policy Statement . View the Pay Transparency Posting Show more Show less

Position Overview ABOUT APOLLO Apollo is a high-growth, global alternative asset manager. In our asset management business, we seek to provide our clients excess return at every point along the risk-reward spectrum from investment grade to private equity with a focus on three investing strategies: yield, hybrid, and equity. For more than three decades, our investing expertise across our fully integrated platform has served the financial return needs of our clients and provided businesses with innovative capital solutions for growth. Through Athene, our retirement services business, we specialize in helping clients achieve financial security by providing a suite of retirement savings products and acting as a solutions provider to institutions. Our patient, creative, and knowledgeable approach to investing aligns our clients, businesses we invest in, our employees, and the communities we impact, to expand opportunity and achieve positive outcomes. OUR PURPOSE AND CORE VALUES Our Clients Rely On Our Investment Acumen To Help Secure Their Future. We Must Never Lose Our Focus And Determination To Be The Best Investors And Most Trusted Partners On Their Behalf. We Strive To Be The leading provider of retirement income solutions to institutions, companies, and individuals. The leading provider of capital solutions to companies. Our breadth and scale enable us to deliver capital for even the largest projects – and our small firm mindset ensures we will be a thoughtful and dedicated partner to these organizations. We are committed to helping them build stronger businesses. A leading contributor to addressing some of the biggest issues facing the world today – such as energy transition, accelerating the adoption of new technologies, and social impact – where innovative approaches to investing can make a positive difference. We are building a unique firm of extraordinary colleagues who: Outperform expectations. Challenge Convention Champion Opportunity Lead responsibly. Drive collaboration As One Apollo team, we believe that doing great work and having fun go hand in hand, and we are proud of what we can achieve together. Our Benefits Apollo relies on its people to keep it a leader in alternative investment management, and the firm’s benefit programs are crafted to offer meaningful coverage for both you and your family. Please reach out to your Human Capital Business Partner for more detailed information on specific benefits. Position Overview Apollo is seeking a quantitative analyst with strong business acumen and exceptional technical skills as part of its ISGI function. The Quant function is responsible for the design, development and maintenance of quantitative tools and the production and support of quantitative metrics across the firm and as such is a critical part of the firm’s business strategy. As part of this team, you will be responsible for designing, developing and/or maintaining quantitative libraries for risk, valuation and stress for use in ISGI. Key asset classes include Structured Credit (vanilla as well as exotic asset backed securities), Derivatives (rates, credit, equity, FX and commodities), public and private equity, and typical fixed income instruments (with or without embedded options) spanning the whole range of credit assets such as corporate bonds, leveraged loans, emerging market debt, private credit, commercial and residential real estate debt, infrastructure debt, convertible bonds, preferred stock, and government bonds. You will leverage your product/markets experience and programming skills to develop tools that measure risks appropriately. You will be responsible for working with the Portfolio Managers to model security risks, respond to inquiries, and make recommendations that will ultimately influence investment choices and portfolio construction. In addition, you will be responsible for ensuring the accuracy of risk analytics by developing tools to identify any potential issues and by investigating and rectifying any identified issues in the risk analytics. Your Responsibilities Will Include Ensure accuracy of risk analytics by developing tools to identify any potential issues. Investigate and rectify any identified issues in the risk analytics. Utilize existing proprietary model libraries for generating portfolio exposures, stress testing, risk metrics and performance attribution. Develop robust quantitative risk and stress models with analytical outputs that fully reflect the key risks of each position and meet the risk management objectives of portfolio managers and senior management. Conduct detailed reviews of existing models and propose solutions to enhance the model output. Partner with Technology teams to deliver state-of-the-art risk analytics and models. Clearly and concisely articulate complex ideas to target audiences including portfolio managers, traders and executive management. Build and manage relationships with senior global stakeholders, and with local and regional business leaders, including internal and external parties. Qualifications & Experience QUALIFICATIONS AND EXPERIENCE: (Academic, Professional, Experience) 3+ years of experience as a Quant in a Front Office Pricing team in large Investment Banks or Asset Managers with focus on traded credit products and Asset Backed Securities. A few years of this experience (but not all) could be in a model validation team validating front office models. Deep expertise in credit market dynamics including cash, synthetics, and structured products. Strong understanding of quantitative credit methodologies and traded credit analytics. Strong conceptual and mathematical knowledge of financial engineering, stochastic modeling, simulation techniques, derivatives pricing, and risk analytics. Deep experience in designing risk and valuation models for credit securities, structured products and complex derivatives. Proven expertise in stress testing and scenario analysis to assess risk exposures. Strong programming skills: Python, R, SQL, and Excel (required) and C/C++ (preferred). Bachelor’s degree from an accredited institution is required. Master’s degree in a quantitative discipline such as mathematics, computer science, financial engineering, and econometrics is preferred. Practical and hands-on experience in financial markets. Strong communication and diplomatic skills are required to guide, influence, and convince others, in particular colleagues in other areas and occasional external customers. Demonstrated ability to work effectively and independently across different businesses and functional areas with thorough attention to detail in a potentially high paced environment. Collaborative, organized, flexible and results driven. Must have strong drive and initiative, be collaborative to effectively liaise with senior stakeholders and colleagues. A forward thinking, creative individual who challenges the status quo and takes initiative to reengineer processes. Strong project management skills Excellent stakeholder management skills, including the ability to resolve conflict and observe confidentiality. Be nimble and flexible to balance multiple tasks simultaneously. The ability to take on a task and “run with it” to conclusion is a critical characteristic of this role. Apollo provides equal employment opportunities regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, color, nationality, ethnic or national origin, religion or belief, veteran status, gender/sex or sexual orientation, or any other criterion or circumstance protected by applicable law, ordinance, or regulation. The above criteria are intended to be used as a guide only – candidates who do not meet all the above criteria may still be considered if they are deemed to have relevant experience/ equivalent levels of skill or knowledge to fulfil the requirements of the role. Any job offer will be conditional upon and subject to satisfactory reference and background screening checks, all necessary corporate and regulatory approvals or certifications as required from time to time and entering into definitive contractual documentation satisfactory to Apollo. Show more Show less

About the Role We are looking for a candidate with a strong academic record and industry experience in Natural catastrophe modelling for our Underwriting Advisory Team at Bangalore. This job offers you a chance to join the dynamic and fast paced world of a highly specialized financial services organization. You get in-depth exposure to Swiss Re s proprietary natural perils model platform and costing tools and to natural catastrophe reinsurance business from Swiss Res global client base. Depending upon your inclination and skills, over time you will have the opportunity to widen your roles in multiple areas. Position Summary Provide high quality Nat cat underwriting advisory to underwriting desks at Swiss Re which will include but not limited to Europe, Middle East and Africa. Your role would involve: You will support the analysis of Property treaty business across markets. This includes reviewing submission data providing data analysis risk modelling of Nat Cat loss scenarios making the best use of SRs costing techniques to model / forecast and quantify the impact of contract features relevant to costing. Support in product process innovation using the findings from underwriting support and suggest improvements to Nat cat models, tools, and systems. Collaborating with the underwriting community abroad and other business partners on various projects to generate new valuable services for Swiss Re. Establish maintain positive relationships with internal partners. Identify resolve service issues with internal clients /stakeholders, prepare statistical client/region specific reports and share input/solutions with internal business partners. About Team Join a dynamic and specialized team at the forefront of Property Treaty Underwriting advisory in Bangalore. We are a part of a highly specialized financial services organization, operating in a fast-paced and intellectually stimulating environment. Our team is seeking individuals with a strong academic background and hands-on experience in natural catastrophe (NatCat) modelling. As a member of our group, you will gain deep exposure to Swiss Re s proprietary natural perils modelling platform and costing tools, while working on reinsurance solutions for a diverse global client base. This role offers a unique opportunity to contribute to impactful risk assessment and pricing strategies. Over time, depending on your interests and strengths, you ll have the chance to expand your role across various functions within Swiss Re, shaping a rewarding and multifaceted career path. About You: An advanced degree in the field of natural science or a quantitative field (e.g., engineering, statistics, Mathematics, Econometrics) which is closely related to these subject areas Proficient in Property re/insurance underwriting, single-risk assessment, risk modelling and contract preparation, with minimum 2 to 5 years of relevant Underwriting experience Good understanding of underwriting techniques, methods, tools, and processes Ability to analyze large data sets, investigate complex connection and draw relevant conclusion. Expertise in R, Advance Excel (VBA), SQL and Power BI and inclination towards learning new technologies will be an added advantage. Strong motivation to learn about re/insurance and overseas markets Strong team-player with ability to collaborate with teams in other locations and cultures, along with strong sense of accountability and execution Excellent command of English (written and spoken). Other foreign language will be added advantage Above all: scientific and technological curiosity with the ability to bring new insights to constructively challenge the status quo. About Swiss Re . If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 133907

Who We Are The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team. Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities. With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself. We are Metyis. Partners for Impact. What We Offer Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast growing international and diverse team What You Will Do Execute data science projects from start to end. Understand client business problems, define analytical approaches, and develop actionable solutions. Engage directly with stakeholders to gather requirements, present findings, and guide data-driven decisions. Preprocess and analyze structured and unstructured data using statistical approach. Build and deploy predictive models, forecasting solutions, recommendation systems. Collaborate with engineering, product, and business teams to translate insights into outcomes. Communicate results clearly through presentations and storytelling. What You’ll Bring Graduate degree or higher with courses in programming, econometrics / data science Experience: 3 - 6 years of professional work experience in advanced analytics domain, using statistical modeling and deep learning for business problem solutions. Well-developed Logical Reasoning, Critical Thinking & Problem-Solving abilities. Excellent presentations skills and storytelling capabilities. Self-driven with a collaborative attitude and a passion for delivering business value through data. Strong hands-on experience in Python/R and SQL. Good understanding and Experience with cloud platforms such as Azure, AWS, or GCP. Experience with data visualization tools in python like – Seaborn, Plotly. Good understanding of Git concepts. Good experience with data manipulation tools in python like – Pandas, Numpy. Must have worked with scikit learn, NLTK, Spacy, transformers. Strong foundation in machine learning algorithms, predictive modeling, and statistical analysis. Good understanding of deep learning concepts, especially in NLP and Computer Vision applications. Proficiency in time-series forecasting and business analytics for functions like marketing, sales, operations, and CRM. Exposure to tools like – Mlflow, model deployment, API integration, and CI/CD pipelines. Good to have: Generative AI Experience with text and Image data. Familiarity with LLM frameworks such as LangChain and hubs like Hugging Face. Exposure to vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search or retrieval-augmented generation (RAG). In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity. Show more Show less

Job Description As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. MRGR is a global team of modeling experts within the firm’s Risk Management and Compliance organization. The team is responsible for conducting independent model validation and model governance activities to help identify, measure, and mitigate Model Risk in the firm. The objective is to ensure that models are fit for purpose, used appropriately within the business context for which have been approved, and that model users are aware of the model limitations and how they could impact business decisions. Being part of the MRGR team will put you at the center of the firm’s model validation and governance activities with exposure to a wide variety of model types and cutting edge modeling techniques, while frequently interacting with the best and brightest in the firm. You will expand your knowledge of the different forecasting models used in the firm, their unique limitations, and use that knowledge to help shape business strategy and protect the firm. Job Description Set standards for robust model development practices and enhance them as needed to meet evolving industry standards Evaluate adherence to development standards including soundness of model design, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability of performance metrics Identify weaknesses, limitations, and emerging risks through independent testing, building of benchmark models, and ongoing monitoring activities Communicate risk assessments and findings to stakeholders, and document in high quality technical reports Assist the firm in maintaining (i) appropriateness of ongoing model usage, and (ii) the level of aggregate model risk within risk appetite Required Skills, Experience And Qualifications A Ph.D. or Master’s degree in a quantitative field such as Math, Physics, Engineering, Economics or Finance is required 1 – 4 years of experience in a quantitative or modeling role. Strong communication skills verbally and particularly in writing, with the ability to interface with other functional areas in the firm on model-related issues and write high quality technical reports Experience with large data sets is required Proficiency in Python, R, or equivalent Deep understanding of statistics / econometrics Preferred Skills, Experience And Qualifications Prior experience in mortgage or CRE risk model development or validation is a plus Prior experience in financial products/markets and regulatory stress testing (CCAR/ICAAP) is a plus ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. Show more Show less