57 Financial Engineering Jobs

Join us as a Treasury Hedge Accounting Assistant VP at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. You may be assessed on the key critical skills relevant for success in the role, such as experience with hedge accounting knowledge [cash flow and fair value] as well as job-specific skillsets. To be successful as a Treasury Hedge Accounting Assistant VP, you should have experience with: Personable individual; with an ability to influence effectively others towards desired outcomes. Collaborative person; who leads and generates ideas but listens to the views of others. A track record of success in developing and meeting tight, but realistic, deadlines. Holds themselves accountable for key responsibilities, effectively managing stakeholder expectations. A continuous learning mind-set; someone who applies analytical reasoning and problem solving to all they do. Desirable skillsets/ good to have: CFA / Masters in Finance / Financial Engineering would be an advantage. Articleship / Industrial trainee in mid to large sized firms. Audit exposure in large financial institutions / banks preferred. This role will be based out of Chennai. Purpose of the role: To report and analyze hedging relationships, identify potential hedge accounting opportunities, and implement effective hedging strategies to mitigate accounting asymmetry risk. Accountabilities: Design and implementation of effective hedge accounting strategies that support the bank's overall risk management framework and adjust as needed to maintain hedge effectiveness and respond to changes in market conditions. Assessment of potential hedge accounting relationships between financial instruments, considering factors such as effectiveness, designation, and hedge ratio. Preparation and maintenance of comprehensive hedge accounting documentation, including hedge designation reports, effectiveness testing results, and fair value measurements, and ensure that hedge accounting documentation is accurate, compliant with accounting standards, and readily available for audit review. Fair value measurements for financial instruments, including both hedged and hedging instruments, using appropriate valuation methodologies, and calculation and recording of hedge accounting adjustments, including hedge ineffectiveness adjustments, to reflect the impact of hedging relationships on the financial statements. Management of regular effectiveness testing of hedging relationships to assess whether they continue to meet the requirements for hedge accounting, and evaluation of the effectiveness of hedging strategies and adjust as needed to maintain hedge effectiveness. Report the internal and external statutory view of hedge accounting effectiveness for presentation into Barclays Annual Accounts. Assistant Vice President Expectations: To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are: L Listen and be authentic, E Energize and inspire, A Align across the enterprise, D Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialization to complete assignments. They will identify new directions for assignments and/or projects, identifying a combination of cross-functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires an understanding of how areas coordinate and contribute to the achievement of the objectives of the organization sub-function. Collaborate with other areas of work, for business-aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practices (in other areas, teams, companies, etc.) to solve problems creatively and effectively. Communicate complex information. "Complex" information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

As a PC Prime Equities Analyst at Barclays, you will be an integral part of the Line PC team, ensuring the completeness and accuracy of the books and records, including P&L and Balance Sheet substantiation and reporting. Your role will involve collaborating with a global team across regions like the UK and US, requiring excellent communication and presentation skills in both formal and informal settings. To excel in this role, you should possess skills in using MS Office toolkit, be a qualified accountant, and demonstrate a strong control awareness to identify and escalate potential control breakdowns. Additionally, having experience in financial engineering, article ship/industrial trainee background in mid to large-sized firms, or audit exposure in large financial institutions/banks would be advantageous. Your primary responsibilities will include reconciling daily P&L figures for trading desks, assessing and mitigating trading risks, maintaining and analyzing trading data, preparing regulatory reports, and effectively communicating complex financial information to stakeholders. You will also collaborate cross-functionally to ensure a coordinated approach to trading activities. As an Analyst, you will be expected to perform tasks efficiently and maintain a high standard of work quality, utilizing your technical knowledge and experience in your area of expertise. If you have leadership responsibilities, you will guide and support professional development within your team, while individuals will focus on developing technical expertise and acting as advisors when necessary. At Barclays, we value the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive. By embodying these values and mindset, you will contribute to creating a positive work environment where colleagues can thrive and deliver excellent results.,

Job Title: Lead Quant Analyst, Credit Quants About the Team: DBRS Morningstar Credit Ratings, LLC is registered with the U.S. Securities and Exchange Commission as a nationally recognized statistical rating organization (NRSRO). DBRS Morningstar Credit Ratings issues credit ratings on a variety of security types including corporate and structured finance securities. This Morningstar subsidiary aims to increase market transparency by providing the highest-quality ratings, securities research, monitoring services, operational risk assessments, data, and tools. DBRS Morningstar is a global credit ratings business, formed through the July 2019 acquisition of DBRS by Morningstar, Inc., the ratings business is the fourth-largest provider of credit ratings in the world. DBRS Morningstar is committed to empowering investor success, serving the market through leading-edge technology and raising the bar for the industry. DBRS Morningstar is a market leader in Canada, the U.S. and Europe in multiple asset classes. DBRS Morningstar is driven to bringing more clarity, diversity of opinion, and responsiveness to the ratings process. DBRS Morningstars approach and size provide the agility to respond to customers needs, while being large enough to provide the necessary expertise and resources. The Role: As a Quant Analyst you will execute proprietary research pertaining to building data building various types of credit rating models, such as default models, cashflow models, capital models, regression models covering asset classes of ABS, CMBS, Covered Bond, RMBS, Structured Credit, Corporates, Financial Institutions and Sovereigns. The Credit Ratings Modeling team will collaborate with members from the Credit Ratings, Credit Practices, Independent Review, Data and Technology teams to create class leading models that are as innovative as they are easy to understand in the marketplace. You will be expected to adopt an "iron sharpens iron" attitude where the focus is on making everyone better. The ideal candidate will demonstrate Quant research skills in Credit Modeling alongside Quant Modeling skills such as statistics, Machine Learning, numerical optimization & software engineering skillset within Fintech eco space. This position reports to the Senior Manager of Quantitative Research, Technology. Responsibilities: Support methodology development, Quant Model builds & enhancements for core Quant products as credit predictive models, etc. Participate in building next generation of credit modelling. Maintain and enhance proprietary Python libraries related to model building Leverage structured and unstructured datasets to build new Quant frameworks that would help analysts in informed decision making. Assisting development of Analytics-based solutions, taking ownership of the design and development of solutions to scale information ingestion, storage, computation (training/inference), validation. Participate in analyst conversations for understanding ongoing analyst issues. Requirements: 4 to 5 years of investment research / rating agencies experience with emphasis on fixed income research / analysis, credit modelling. CFA, CQF or postgraduate degree in finance, economics, mathematics, statistics is highly desired. Experience developing Financial Engineering/ Statistical applications on cloud. Experience of statistical models (Regression, Monte Carlo simulations, Numerical Optimization etc.) Experience of developing Quant Models using Python. Experience engineering models on big data. Understanding of both business and technical requirements, and the ability to serve as a conduit between rating team, research and technology Familiarity fixed income. Morningstar is an equal opportunity employer About Us Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. Rating more than 4,000 issuers and 60,000 securities, it is one of the top four credit rating agencies in the world. Morningstar DBRS empowers investor success by bringing more transparency and a much-needed diversity of opinion in the credit rating industry. Our approach and size allow us to be nimble enough to respond to customers' needs in their local markets, but large enough to provide the necessary expertise and resources they require. Market innovators choose to work with us because of our agility, tech-forward approach, and exceptional customer service. Morningstar DBRS is the next generation of credit ratings. If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker. Morningstars hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, weve found that were at our best when were purposely together on a regular basis, typically three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, youll have tools and resources to engage meaningfully with your global colleagues. R11_DBRSRatingsGmbHIndia DBRS Ratings GmbH, Branch India Legal Entity Show more Show less

Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics. We are a category defining niche cloud-native technology consulting company, specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work. We partner with clients in their beyond x journey to drive intelligent, impactful & futuristic business outcomes. We are the most preferred tech partner of choice when it comes to solving for better for the new-age tech startups & digital enterprises, leading disruption in their industries. Our Service Offerings: We offer Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services. As one of the top 5 niche full scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred engineering-led tech company of choice when it comes to solving complex business problems. Responsibilities - Build a diverse cross-functional team to identify and prioritize key areas of the business across ML, AI, NLP and other cognitive solutions that will drive significant business benefit. - Lead AI R&D initiatives to include prototypes and minimum viable products. - Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. - Build reusable and scalable solutions for use across the customer base. - Create AI white papers and enable strategic partnerships with industry leaders. - Align, mentor, and manage team(s) around strategic initiatives. - Prototype and demonstrate AI related products and solutions for customers. - Establish processes, operations, measurement, and controls for end-to-end life-cycle management of the digital workforce (intelligent systems). - Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans. - Identify new business opportunities and prioritize pursuits for AI. - Participate in long-range strategic planning activities designed to meet the Company's objectives and to increase its enterprise value and revenue goals. - Build a great work environment that attracts and retains elite talent. - Work well through ambiguity, confidence in making tough calls and leading through adversity with a sharp focus on the right outcomes. Qualifications - Bachelors degree (in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling) or equivalent required. MBA and/or advanced technical degree preferred. - 6+ years of Experience majorly in AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus. - Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks. - Ability to interact, converse and ideate with CTOs, CEOs, VPs and IT Directors. - Prior experience leading a technical team. You are experienced at running a team of high performing individuals, and understand how to get the most out of smart, motivated people. - Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains. - Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus. - Excellent communication skills to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in diverse teams. - Be a Searce Cloud evangelist. Educate customers of all sizes on the value proposition of various services and benefits offered by Searce and partner OEMs. - Author or otherwise contribute to Searce's customer-facing publications such as whitepapers, blogs, and proof of concepts.,

With the increase in accessibility and usage of Machine Learning models, the standards that these models must adhere to are evolving at a rapid pace. The ML Model Risk team helps the developers adhere to these ever-evolving standards and regulations and helps them take a risk first approach to model development. Job summary As a Machine Learning Model Risk VP within our Applied AI and Machine Learning organization, you will be part of a team focused on reducing model risk. You will ensure robust model development processes, apply machine learning and data science methodologies to financial markets, and collaborate with developers to reduce model risk. You will also guide models through the review process, evaluate new ML vendor tools, and ensure compliance with evolving ML development standards. This role provides an opportunity to participate in cutting-edge research and contribute to the development of our machine learning models. You will expected to guide and lead junior data scientists Job responsibilities Participating in cutting edge research and applying machine learning and data science methodologies to financial markets and related operations Analyze the models through a risk-based lens and collaborate with developers to reduce model risk Provide feedback and collaborate with users and developers to ensure optimal development of ML models Develop and maintain a list of tests to validate various common techniques used to build Machine learning models Guiding models through the review process and enhancing and improving them as required Evaluate new ML vendor tools for usefulness, effectiveness and ease of deployment in CIB Understand the ever evolving ML development standards and processes and communicate with developers to ensure compliance Required qualifications, capabilities and skills Master s, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools Strong written and oral communication and interpersonal skills Strong Stakeholder & Project Management skills Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues Basic understanding of the companys business practices and familiarity with the companys products and services Preferred qualifications, capabilities and skills Programming experience with Python; experience in MLOps would be a positive Experience with python programming and implementing machine learning techniques. Experience in Model Risk or Machine learning teams Experience in developing testing frameworks for ML models Experience in handling multiple stakeholders With the increase in accessibility and usage of Machine Learning models, the standards that these models must adhere to are evolving at a rapid pace. The ML Model Risk team helps the developers adhere to these ever-evolving standards and regulations and helps them take a risk first approach to model development. Job summary As a Machine Learning Model Risk VP within our Applied AI and Machine Learning organization, you will be part of a team focused on reducing model risk. You will ensure robust model development processes, apply machine learning and data science methodologies to financial markets, and collaborate with developers to reduce model risk. You will also guide models through the review process, evaluate new ML vendor tools, and ensure compliance with evolving ML development standards. This role provides an opportunity to participate in cutting-edge research and contribute to the development of our machine learning models. You will expected to guide and lead junior data scientists Job responsibilities Participating in cutting edge research and applying machine learning and data science methodologies to financial markets and related operations Analyze the models through a risk-based lens and collaborate with developers to reduce model risk Provide feedback and collaborate with users and developers to ensure optimal development of ML models Develop and maintain a list of tests to validate various common techniques used to build Machine learning models Guiding models through the review process and enhancing and improving them as required Evaluate new ML vendor tools for usefulness, effectiveness and ease of deployment in CIB Understand the ever evolving ML development standards and processes and communicate with developers to ensure compliance Required qualifications, capabilities and skills Master s, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields Mastered advanced mathematics and statistics (i.e., probability theory, time series, econometrics, optimization), with core expertise in statistics and machine learning theory, techniques, and tools Strong written and oral communication and interpersonal skills Strong Stakeholder & Project Management skills Ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues Basic understanding of the companys business practices and familiarity with the companys products and services Preferred qualifications, capabilities and skills Programming experience with Python; experience in MLOps would be a positive Experience with python programming and implementing machine learning techniques. Experience in Model Risk or Machine learning teams Experience in developing testing frameworks for ML models Experience in handling multiple stakeholders

Corporate Treasury lies at the heart of Goldman Sachs, ensuring all the businesses have the appropriate level of funding to conduct their activities, while also optimizing the firm s liquidity, managing its risk and compliance with regulations. Our Corporate Treasury Engineering team is a world leader in developing quantitative techniques and technological solutions that solve complex and commercial business problems. We partner with our firm s treasurer and other members of Corporate Treasury senior leadership to manage the firm s liquidity risk, secured and unsecured funding programs, and the level and composition of consolidated and subsidiary equity capital and to invest any excess liquidity. An exciting confluence of computer science, finance and mathematics are being used to solve for what our shareholders would like from us a high return for the right risk taken. Your Impact In this role, you will be provided unique insight into the firm s business activities and asset strategy. You will be responsible for defining, developing software s to analyze data, built metric calculators, automated tools to help business get insights into data, predict scenarios, and perform better decision making to reduce interest expenses for the firm. This front to back model gives software developer s window into all aspects of CT planning and execution while working on cutting edge industrial technologies. In this role, you will be contributing to design, develop and support digitally advanced financial products by collaborating with globally located cross functional teams. You will drive initiatives to analyze existing software implementations to identify areas of improvement, participate in prioritization of these improvements and provide estimates for implementing new features. Contribute to building team processes and best practices. Basic Qualifications B.E or B.Tech or higher in Computer Science (or equivalent work experience) 1+ years of relevant professional experience Experience in software development, including a clear understanding of data structures, algorithms, software design and core programming concepts. Strong analytical and problem-solving skills demonstrated ability to learn technologies and apply. Comfortable multi-tasking, managing multiple stakeholders and working as part of a team. Excellent communication skills including experience speaking to technical and business audiences and working globally. Can apply an entrepreneurial approach and passion to problem solving and product development. Preferred Qualifications Strong programming experience in at least one compiled language - Java, Python Experience in designing highly scalable, efficient systems. Web technology design experience is plus. Experience with micro-service architecture, Spring, messaging queues like Kafka Experience with Kubernetes Experience with AWS Familiarity with financial markets, financial assets, and liquidity management is plus About Goldman Sachs Goldman Sachs Engineering Culture Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!

Enterprise Portfolio Researcher We are looking for a motivated Quantitative Risk Modeler with 1- 3 years of experience to join our team. This role focuses on developing and maintaining multi-asset class analytics frameworks to the Firmwide portfolio of teams and senior management decision-making. If you have a passion for quantitative finance, risk modeling, and applied statistics, this is an excellent opportunity to grow your career in a dynamic and collaborative environment. Principal Responsibilities: Development of multi-asset class analytics across all MLP strategies, supporting the Office of the CIO across Enterprise-wide initiatives. This includes working on the centralized performance evaluation framework at MLP, improvements on VaR and Stress methodologies, as well as implementing centralized back-testing and model performance frameworks. Contributions to the development of multi-asset class content generation, as well as centralized visualization tools for the platform used by senior management. Ownership in developing a quantitative framework for identifying, measuring, managing, and reporting multi-asset class analytics across the platform PM performance measurement and analytics to help inform management decisions. Ownership of a multi-asset class stress-testing framework, including insights into key risk drivers to action management decisions. Capital utilization and allocation models across portfolio manager teams. Cost of liquidation measurement and management, as well as associated returns relative to constrained resources. Post initial model development work, coordinate with relevant Technology departments to ensure changes are deployed into to production. Qualifications: The candidate should have a degree in a quantitative field such as statistics, mathematics, computer science or financial engineering. Strong programming skills, prior experience with Python (Polars and/or Pandas). Proficiency in at least a compiled and statically typed language is a plus. Knowledge of mathematical and statistical analytics tools: estimation of linear models, dimensionality reduction techniques e.g. Equity Factor Models, Principal Component Analysis, and performance analytics (e.g., Sharpe ratios, drawdowns). Sense of responsibility and integrity. Intellectual curiosity and entrepreneurial mindset. Willingness to work and have fun in the process. Good presentation and communication skills, experience in either preparing or participating presentation for senior management-style meetings.

Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division and be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. Your responsibilities will include designing and developing optimization models and simulation models, supporting OR projects either individually or as part of a team, and collaborating with stakeholders to understand business requirements and define solution objectives clearly. It is crucial to identify and select the correct method to solve problems while staying up to date on the latest OR methodologies and ensuring the robustness of any mathematical solution. Additionally, you will be expected to develop and communicate recommendations and OR solutions in an easy-to-understand manner, leveraging data to tell a story. Your role will involve leading and persuading others positively to influence team efforts and help frame business problems into technical problems with feasible solutions. The ideal candidate should possess a Master's Degree with 4+ years or a Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, or related disciplines. You should have experience supporting OR projects with multiple team members, hands-on experience developing simulation models, optimization models, and/or heuristics, a deep understanding of the mathematics and theory behind Operations Research techniques, and proficiency in Open Source Software (OSS) programming languages like Python, R, or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK, as well as familiarity with basic data table operations (SQL, Hive, etc.), is required. Demonstrated relationship-building skills and the ability to make things happen through positive influence are essential. Preferred qualifications include advanced expertise with Operations Research techniques, prior experience building Reinforcement Learning Models, extensive knowledge of Stochastic Modelling, and previous experience leading highly complex cross-functional technical projects with multiple stakeholders.,

Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Role Summary Goldman Sachs is seeking a highly skilled Software Engineer to join our team. The ideal candidate will have extensive experience in designing, developing, and implementing complex software applications, and a strong background in computer science, mathematics, or a related field. The successful candidate will collaborate with cross-functional teams to develop innovative solutions to meet business needs and will be responsible for building and maintaining highly reliable and scalable systems. Key Responsibilities Design, develop and maintain complex software systems and applications. Collaborate with cross-functional teams to gather requirements and define technical solutions. Implement and maintain best practices for software development and engineering processes. Develop and maintain software documentation, including design specifications, user guides and manuals. Ensure the reliability, scalability, and performance of software systems. Troubleshoot and debug complex software issues. Qualifications Bachelor s degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. Can apply an entrepreneurial approach and passion to problem solving and product development. 3+ years of software development experience Goldman Sachs Engineering Culture .

Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division and be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Your responsibilities will include designing and developing optimization models and simulation models, supporting OR projects either individually or as part of a project team, collaborating with stakeholders to understand business requirements and define solution objectives clearly, selecting appropriate methods to solve problems while staying updated on the latest OR methodologies, ensuring the robustness of mathematical solutions, developing and communicating recommendations and OR solutions in an easy-to-understand manner using data to tell a story, leading and persuading others to positively influence team efforts, and helping frame a business problem into a technical problem to achieve feasible solutions. To be considered for this role, you should possess a Master's Degree with 4+ years or a Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, or related disciplines. You should have experience supporting OR projects with multiple team members, hands-on experience in developing simulation models, optimization models, and/or heuristics, a deep understanding of the math and theory behind Operations Research techniques, proficiency in Open Source Software (OSS) programming languages like Python, R, or Scala, experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK, and familiarity with basic data table operations (SQL, Hive, etc.). Additionally, you should have demonstrated relationship building skills and a superior ability to make things happen through positive influence. Preferred qualifications include advanced expertise with Operations Research techniques, prior experience in building Reinforcement Learning Models, extensive knowledge of Stochastic Modelling, and previous experience in leading highly complex cross-functional technical projects with multiple stakeholders.,

Machine learning Engineer - Bengaluru, Karnataka Full job description : Predictive Research is a Machine Learning, Artificial Intelligence, Big Data, Data Science and Quant Analytics focused on companies having a good track record for the last 9 years. Our main focus is on Machine Learning, Artificial Intelligence, Neural Network,Big Data, Data Science and financial engineering caters to many clients in Machine Learning, Data Science and Quantitative Research. Responsibilities: Bachelors Degree in a Quantitative discipline . Experience: total work: 2 years (Preferred) . Benefits: Competitive compensation package. Mentorship from experienced engineers. Opportunity to work on challenging projects. Professional growth and skill development. Inclusive work environment. Health and wellness benefits. Flexible work arrangements. Apply Now

Data Scientist is to run various data analysis and management to assist in design development and testing of algorithmic trading strategies, development of state-of-art transaction cost analysis modules(TCA)for global equities options futures and f/x

Join Barclays as a PC Prime Equities Analyst where you will play a pivotal role in collaborating with the Line PC team to ensure the completeness and accuracy of the books and records, including P&L (Profit & Loss) and Balance Sheet substantiation and reporting. At Barclays, we are not just predicting the future - we are actively shaping it. To excel in this position, you should possess the following skills: - Proficiency in using MS Office toolkit. - Hold a qualification as an accountant. - Strong communication and presentation abilities for both formal and informal settings, with the capacity to engage with teams globally, including the UK and US (both written and verbal). - Robust control awareness, particularly in identifying and escalating potential control breakdowns and optimizing processes efficiently. Additionally, advantageous skills may encompass: - Knowledge in financial engineering. - Prior experience in Article ship or as an Industrial trainee in mid to large-sized firms. - Audit exposure in large financial institutions or banks would be preferred. You will be evaluated based on critical skills crucial for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology proficiency, in addition to job-specific technical skills. This role is stationed at our Pune office. **Purpose of the Role:** Overseeing the financial facets of trading activities to maintain accuracy and integrity of the bank's trading book, compliance with regulatory standards, and offering insights into trading performance. **Accountabilities:** - Reconciling daily P&L figures for trading desks to align with valued positions in the trading book and resolving discrepancies. - Assisting in identifying, assessing, and mitigating trading risks and reporting on financial risks to senior colleagues. - Maintaining and analyzing the bank's trading data for accuracy and consistency, providing insights to traders and senior colleagues. - Preparing and submitting regulatory reports, supporting external audits, and effectively communicating complex financial information. - Collaborating across functions to ensure a cohesive approach to trading activities. **Analyst Expectations:** - Impacting related teams within the area. - Partnering with other functions and business areas. - Taking responsibility for operational processing and activities. - Escalating policy breaches appropriately. - Embedding new policies/procedures for risk mitigation. - Advising on decision-making within your area of expertise. - Managing risk and controls in your work in alignment with regulations. - Building an understanding of sub-function integration and organization's products, services, and processes. - Guiding team members, resolving problems, and communicating complex information. - Acting as a contact point for external stakeholders and building a network of contacts. All colleagues are expected to uphold Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship along with the Barclays Mindset to Empower, Challenge, and Drive - guiding principles for our behavior and actions.,

You will be responsible for running the full production cycle for all Derivatives asset types in AMERS, which includes preproduction and quality analysis, production, and deliveries. Additionally, you will gather requirements for Derivatives products in both vanilla asset types (IRS, Swaptions, FX and Equity Options, CDS, TRS, Inflation swaps) and complex products (Dispersion Swaps, Volatility Swaps, Hybrid products, Exotic Structured Notes). Managing the clients workflow evaluation pricing cycle and supporting TRPS Derivatives clients communications will also be part of your duties. To excel in this role, you should possess a Bachelor's and/or master's degree in Finance, preferably in Quantitative Finance, Mathematical Finance, or Financial Engineering. A well-rounded knowledge of financial markets is essential, along with the ability to independently research and apply complex concepts in a real-world context. You must be self-motivated, have the ability to learn quickly, and operate under tight time constraints. Strong problem-solving skills are crucial, along with proficiency in Excel and good verbal and written communication skills. You should have the confidence and poise to explain and defend evaluations to customers. Preferred skills for this position include experience with Rates using CALYPSO, working with both vanilla and complex derivatives, IRS and Swaptions expertise, familiarity with financial libraries and functions such as PIL, FINCAD, Numerix, and programming experience in scripting languages like C++, JAVA, or Python. As part of the LSEG team, you will be joining a dynamic organization of 25,000 people across 65 countries. Your individuality will be valued, enabling you to bring your true self to work and enrich the diverse workforce. You will experience a collaborative and creative culture that encourages new ideas and is committed to sustainability across the global business. LSEG is dedicated to re-engineering the financial ecosystem to support and drive sustainable economic growth, aiming to achieve growth by accelerating the just transition to net zero, enabling growth of the green economy, and creating inclusive economic opportunity. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.,

Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Are you a highly analytical and innovative quantitative professional with a passion for the derivative pricing? Do you want to participate in the creation of the next generation of pricing and structuring library? We are looking for a Quant Researcher to join our Core Quant Strats team and help us change the way financial products are structured, priced and risk managed at Goldman Sachs. In this role, you ll leverage your expertise in mathematics, statistics and programming to develop and implement advanced quantitative models that directly impact our trading strategies and financial decision making. We wear different hats Develop, implement and back test sophisticated mathematical models for the pricing, calibration and risk management of a wide range of financial derivatives. Conduct in-depth quant research on market vol dynamics, correlation structure to enhance existing models and identify new opportunities. Work closely with traders, portfolio managers and tech teams to integrate models into proprietary trading systems. Analyze large datasets to identify patterns and improve predictive power. Impact our business by improving ability to serve clients and by directly reducing compute cost through more efficient algorithms. Basic Qualification Bachelors/Masters in Mathematics or Computer Science (STEM) or similar subject. Strong quantitative skills in both probability and statistics. Strong programming skills, including a clear understanding of algorithms and data structures. Strong interpersonal, communication and presentation skills, both written and verbal. Comfortable managing multiple stakeholders, driving consensus and influencing outcomes. Preferred Qualification Experience with machine learning algorithms. Experience with derivative pricing and risk hedging using stochastic calculus Experience building tools and payoff languages used by traders and structurers. Goldman Sachs Engineering Culture .

To be successful in this role, you should have below skills: Experienced with MS office toolkit. Qualified accountant Excellent communication and presentation skills in both formal and informal settings ability to interact with the region and UK / US as part of a global team (written and verbal) strong control awareness - in particular, the ability to identify and escalate potential control breakdowns and to streamline processes in an effective and efficient manner. Some other highly valued skills may include below: Financial engineering would be an advantage. Article ship / Industrial trainee in mid to large sized firms Audit exposure in large financial institutions / banks preferred. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in our Chennai office. Purpose of the role To oversee the financial aspects of trading activities, ensuring the accuracy and integrity of the banks trading book, maintenance of compliance with regulatory requirements, and provision of insights into trading performance. Accountabilities Reconciliation of daily profit and loss (PL) figures for trading desks to ensure they align with the valued positions in the trading book, investigating and resolving discrepancies between PL figures to ensure they reflect the true economic value of the trading portfolio. Support the identification, assessment, and mitigation of trading risks, and report on these financial risks to senior colleagues. Maintenance and analysis of the bank s trading data, ensuring its accuracy, completeness and consistency, and provision of insights to traders and senior colleagues on trading performance. Preparation and submission of regulatory reports to authorities, and provision of support to external audits including addressing auditor queries and ensuring trading activities are appropriately reflected in financial statements. Effective communication of complex financial information to traders, risk professionals, senior colleagues, and external stakeholders. Cross functional collaboration to ensure a coordinated approach to trading activities. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

As a part of Goldman Sachs, you will play a crucial role in utilizing your expertise, resources, and innovative ideas to support our clients, shareholders, and the communities we engage with in their growth. Established in 1869, we stand as a prominent global investment banking, securities, and investment management firm with our headquarters based in New York and offices spread across the world. At Goldman Sachs, we strongly believe that your individuality enhances your effectiveness in your role. We are dedicated to promoting diversity and inclusivity both within our organization and externally. We ensure that each member of our team is provided with ample opportunities for professional and personal growth through various training programs, development initiatives, extensive networks, comprehensive benefits, wellness programs, personal finance solutions, and mindfulness programs. To delve deeper into our culture, benefits, and talented individuals, visit GS.com/careers. We are devoted to accommodating candidates with special needs or disabilities during our recruitment process. For more information on accommodations, please visit: https://www.goldmansachs.com/careers/footer/disability-statement.html Engineering holds a pivotal position within our company, driving our businesses forward. The dynamic nature of our work environment demands strategic thinking that is not only innovative but also results in intelligent solutions. At Goldman Sachs, our Engineers are not merely creators - we are enablers of possibilities. By bridging people and capital with novel ideas, we aspire to make a transformative impact. Tackle the most intricate and urgent engineering challenges for our clients, be a part of our engineering teams that design highly scalable software and systems, architect cutting-edge low latency infrastructure solutions, proactively safeguard against cyber threats, and utilize machine learning in conjunction with financial engineering to consistently convert data into actionable insights. Contribute to the creation of new ventures, revolutionize finance, and embrace a realm of opportunities that align with the pace of the markets. Engineering, encompassing our Technology Division and global strategists groups, forms the core of our business, demanding innovative strategic thinking and immediate, practical solutions. Are you ready to explore the boundaries of digital capabilities We are seeking individuals who embody the core values of Goldman Sachs Engineers - individuals who are visionaries and solution finders, crafting innovations in risk management, big data, mobile technology, and beyond. We value creative collaboration, adaptability to change, and thrive in a fast-paced global setting. Join us in shaping the future of engineering at Goldman Sachs.,

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. As a Risk & Compliance, Quantitative Research Associate in our team, your mission will be to develop and maintain sophisticated mathematical models, cutting-edge methodologies, and infrastructure to value and hedge financial transactions. You will have the opportunity to work with trading desks, product managers, and technology teams to develop analytical tools and quantitative trading models. Additionally, you will collaborate with different control functions to ensure our business operates under established regulatory requirements. We offer multiple opportunities across derivative quantitative modelling, electronic trading quantitative role, risk quantitative, a cross-asset library and infrastructure quantitative, or as a quantitative in the business optimization and automation team. The teams mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and hedge financial transactions. You could be working with trading desks, product managers and technology teams to develop analytical tools and quantitative trading models. You could also be working with different control functions to make sure business is operating under established regulatory requirements. Job Responsibilities Develop and maintain sophisticated mathematical models to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals Improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide Collaborate with risk functions to develop models for market and credit risk the bank is exposed to, across various lines of business Build cutting-edge methodologies and infrastructure to implement our models in production Required qualifications, capabilities, and skills You have a degree in engineering, financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields and have strong quantitative, analytical and problem-solving skills You have a strong background in the following topics - calculus, linear algebra, probability, and statistics You demonstrate proficiency in at least one of the object-oriented programming languages, like C++ or Java, and are good at Python You have knowledge of data structures and algorithms You can work independently as well as in a team environment You think strategically and creatively when faced with problems and opportunities Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders Preferred qualifications, capabilities, and skills Markets experience and general trading concepts and terminology is useful to be familiar with Knowledge of different types of financial products and asset classes like Fixed Income, Credit, Commodities, Equities Background in computer algorithms, python, and specialization (or significant coursework) in low level systems (operating systems, compilers, GPUs, etc.) Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing would be a plus

As an Analyst Macro Product Control at Barclays, you will play a crucial role in shaping the digital landscape, driving innovation, and ensuring exceptional customer experiences. Your responsibilities will include utilizing cutting-edge technology to transform our digital offerings and contribute to creating the future at Barclays. To excel in this position, you should possess the following skills and qualifications: - Proficiency with MS Office tools such as Word, PowerPoint, Excel, and Access Database - A qualified accountant with strong control awareness and the ability to identify and escalate potential control breakdowns - Excellent communication and presentation skills for interacting with global teams and stakeholders - Proven ability to break down complex problems, attention to detail, and analytical mindset - Confident and assertive manner to navigate various challenges effectively Additionally, the following skills would be highly valued: - CFA/masters in finance or financial engineering - Experience in article ship/industrial trainee roles in mid to large firms - Audit exposure in large financial institutions or banks In this role based in Chennai, you will oversee the financial aspects of trading activities, ensuring accuracy, compliance with regulatory requirements, and providing insights into trading performance. Your key responsibilities will include: - Reconciling daily profit and loss figures for trading desks and investigating discrepancies - Identifying, assessing, and mitigating trading risks, and reporting to senior colleagues - Analyzing trading data for accuracy and providing insights to traders and senior management - Preparing and submitting regulatory reports, supporting external audits, and communicating complex financial information effectively - Collaborating cross-functionally to ensure a coordinated approach to trading activities As an Analyst, you are expected to: - Perform activities in a timely and high-quality manner, driving continuous improvement - Demonstrate in-depth technical knowledge and experience in your area of expertise - Lead and supervise a team, guiding professional development and allocating work requirements - Take responsibility for managing risk, strengthening controls, and embedding new policies and procedures By embodying the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, and embracing the Barclays Mindset to Empower, Challenge, and Drive, you will contribute to our shared success and uphold our commitment to doing what is right.,

The Valuation Engineer position is a full-time, on-site role based in Coimbatore. Your primary responsibilities will include conducting property valuations, preparing detailed valuation reports, and utilizing financial engineering techniques. You will be expected to perform quantitative analysis, apply analytical skills to assess financial data, trends, and risks, and ensure compliance with regulatory standards. Moreover, you will play a key role in providing actionable insights to support decision-making processes. To excel in this role, you should possess strong skills in Financial Engineering, Finance, Quantitative Finance, and Quantitative Analytics. A Bachelors degree in Finance, Engineering, or a related field is required. Excellent written and verbal communication skills are essential, along with the ability to work independently and meet tight deadlines. Prior experience in the construction or real estate industry would be an advantage, as well as proficiency in relevant software and tools. Join our team as a Valuation Engineer and contribute to our mission by leveraging your expertise in valuation methodologies and financial analysis to drive informed decision-making processes.,

The Quant Analyst will be responsible for developing and validating models to estimate power demand, generation, and nodal prices. You will collaborate directly with traders to optimize portfolio construction using engineering techniques. A key aspect of your role will involve familiarizing yourself with energy markets and implementing innovative quantitative techniques. Additionally, you will collaborate with the risk management team to measure, analyze, and mitigate risks in our power trading business. Your responsibilities will include: - Collaborating with the nodal trading team to develop, manage, and enhance quantitative models for nodal power markets. - Conducting statistical analysis of electricity nodal market price and demand data. - Building statistical load/generation models using Time Series and Regression-based techniques. - Applying financial engineering techniques/models to enhance and optimize portfolio construction. - Developing metrics to assess market attributes and producing reports to quantify market behavior. - Utilizing Data Mining techniques to identify signals in semi-structured data sets. Requirements: - Bachelor's degree in Financial Engineering, Mathematics, Applied Mathematics, Operations Research, Electrical Engineering, Computer Science, Industrial Engineering, or Statistics. - 2-4 years of experience in developing, maintaining, and supporting analytical libraries and pricing models. - Proficiency in Python programming and SQL databases. - Understanding of statistical and probability principles in Finance. - Familiarity with optimization techniques and statistical learning methods. - Strong interest in comprehending the Energy Markets. - Entrepreneurial mindset with the ability to deliver results under pressure and a willingness to work in a collaborative team environment.,

As a PC Analyst - Banking at Barclays, you will play a crucial role in collaborating with the Line PC team to ensure the completeness and accuracy of the books and records, encompassing P&L (Profit & Loss) and Balance Sheet substantiation and reporting. Embracing innovation, your responsibilities will include monitoring trading activity for compliance with relevant policies and providing technical and operational analysis of the business unit to management. This role offers you the opportunity to closely engage with various stakeholders such as the Front Office business, Financial Control, Technical Accounting Group, PC Change Management, Technology, and other infrastructure areas. To excel in this position, you should possess experience with MS Office toolkit, be a qualified accountant, and exhibit excellent communication and presentation skills in formal and informal settings. Your ability to interact effectively with global teams and demonstrate strong control awareness, particularly in identifying and escalating potential control breakdowns and enhancing processes, will be key to success. Valued skills for this role include proficiency in financial engineering, experience in mid to large-sized firms as an Article ship/Industrial trainee, and audit exposure in large financial institutions/banks. Your performance in this role will be evaluated based on critical skills such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills. This position is based in Chennai. **Purpose of the role:** To oversee the financial aspects of trading activities, ensuring accuracy and integrity of the bank's trading book, compliance with regulatory requirements, and providing insights into trading performance. **Accountabilities:** - Reconciliation of daily P&L figures for trading desks to align with valued positions, resolving discrepancies. - Supporting the identification, assessment, and mitigation of trading risks, and reporting to senior colleagues. - Maintenance and analysis of trading data, ensuring accuracy and providing insights on trading performance. - Preparation and submission of regulatory reports, support for external audits, and effective communication of financial information. - Collaboration to ensure a coordinated approach to trading activities. **Analyst Expectations:** - Perform activities in a timely and high standard, driving continuous improvement. - Demonstrate in-depth technical knowledge and experience in the assigned area of expertise. - Lead and supervise a team, guiding professional development and coordinating resources. - Take ownership of operational processing, escalate breaches, and embed new policies/procedures. - Advise decision-making, manage risks, and strengthen controls. - Maintain understanding of integration with function and organization's products, services, and processes. - Resolve problems, guide team members, and act as a contact point for stakeholders. All colleagues are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset to Empower, Challenge, and Drive.,

Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Global Banking and Markets Division Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced and changing environments. Your Impact As a Strat who sits in the Global Banking & Markets Division, you will play an integral role in the Credit Trading business. You may develop automated trading algorithms for the firm and its clients or create cutting-edge pricing models to provide insight into market behavior. You might be involved in analyzing exposures and structuring transactions to meet client needs or involved in designing and developing complex parallel computing architectures, electronic trading tools and advanced algorithms. Throughout the Global Banking and Markets Division, Strats use quantitative and technological techniques to solve complex business problems. Job Summary Candidates joining the Credit Systematic Market Making (SMM) are engaged in market making and its related functions in Credit and Muni products. The desk offers liquidity primarily in a principal capacity and trade with clients via vendor platforms and directly with clients intermediated by sales. Strats combine their programming, mathematical and market expertise to build and generate systematic strategies. The desk looks for individuals with strong programming experience, mathematical skills and who are motivated to get hands on experience with algorithmic trading. Responsibilities Automate common desk workflows, streamline trading process Make quantitative improvements to existing trading strategies, build new models Understand and analyze market microstructure, incorporate findings into trading strategies Basic Qualifications Programming experience in C++, Java, or Python Bachelors or Masters in a STEM area Experience building large software systems and working with large data sets Interest in algorithmic trading Preferred Qualifications Past experience with developing large, scalable systems Goldman Sachs Engineering Culture

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. Join our dynamic team in Mumbai/Bengaluru for an exciting opportunity in a fast-paced environment. As an experienced quant, you will partner with the Business to provide insights across roles like derivative quant and electronic trading quant. Collaborate with trading desks, product managers, and technology teams to create analytical tools and ensure regulatory compliance. Benefit from extensive training and unique growth opportunities to advance your career. If youre passionate and ready to make an impact, we want you on our team. As a Quantitative Research Associate/Vice President within the QR team, you will partner with the Business to provide a comprehensive view, develop and maintain sophisticated mathematical models, and collaborate with trading desks, product managers, and technology teams to create analytical tools and quantitative trading models. You will also work with control functions to ensure compliance with regulatory requirements, while benefiting from on-the-job training and growth opportunities. If you are passionate, curious and ready to make an impact, we are looking for you. Job Responsibilities Develop and maintain sophisticated mathematical models to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals Improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide Collaborate with risk functions to develop models for market and credit risk the bank is exposed to, across various lines of business Build cutting-edge methodologies and infrastructure to implement our models in production Required qualifications, capabilities and skills You have a degree in engineering, financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields You have strong quantitative, analytical and problem-solving skills You have a strong background in the following topics - calculus, linear algebra, probability, and statistics You demonstrate proficiency in at least one of the object-oriented programming languages, like C++ or Java, and are good at Python You have knowledge of data structures and algorithms You can work independently as well as in a team environment You think strategically and creatively when faced with problems and opportunities Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders Preferred qualifications, capabilities and skills Markets experience and general trading concepts and terminology is useful to be familiar with Knowledge of different types of financial products and asset classes like Fixed Income, Credit, Commodities, Equities Background in computer algorithms, python, and specialization (or significant coursework) in low level systems (operating systems, compilers, GPUs, etc.) Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing would be a plus Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging areaThis is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. Join our dynamic team in Mumbai/Bengaluru for an exciting opportunity in a fast-paced environment. As an experienced quant, you will partner with the Business to provide insights across roles like derivative quant and electronic trading quant. Collaborate with trading desks, product managers, and technology teams to create analytical tools and ensure regulatory compliance. Benefit from extensive training and unique growth opportunities to advance your career. If youre passionate and ready to make an impact, we want you on our team. As a Quantitative Research Associate/Vice President within the QR team, you will partner with the Business to provide a comprehensive view, develop and maintain sophisticated mathematical models, and collaborate with trading desks, product managers, and technology teams to create analytical tools and quantitative trading models. You will also work with control functions to ensure compliance with regulatory requirements, while benefiting from on-the-job training and growth opportunities. If you are passionate, curious and ready to make an impact, we are looking for you. Job Responsibilities Develop and maintain sophisticated mathematical models to value and hedge financial transactions ranging from vanilla flow products to complex derivative deals Improve the performance of algorithmic trading strategies and promote advanced electronic solutions to our clients worldwide Collaborate with risk functions to develop models for market and credit risk the bank is exposed to, across various lines of business Build cutting-edge methodologies and infrastructure to implement our models in production Required qualifications, capabilities and skills You have a degree in engineering, financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields You have strong quantitative, analytical and problem-solving skills You have a strong background in the following topics - calculus, linear algebra, probability, and statistics You demonstrate proficiency in at least one of the object-oriented programming languages, like C++ or Java, and are good at Python You have knowledge of data structures and algorithms You can work independently as well as in a team environment You think strategically and creatively when faced with problems and opportunities Your excellent communication skills, both verbal and written, can engage and influence partners and stakeholders Preferred qualifications, capabilities and skills Markets experience and general trading concepts and terminology is useful to be familiar with Knowledge of different types of financial products and asset classes like Fixed Income, Credit, Commodities, Equities Background in computer algorithms, python, and specialization (or significant coursework) in low level systems (operating systems, compilers, GPUs, etc.) Knowledge of options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high-performance computing would be a plus

Who We Are At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Job Function: Application Development Your Impact In Corporate Planning and Management (CPM), we provide engineering solutions that enable the firm to plan budgets, forecast financial scenarios, allocate expenses, manage spend, third party risk and support corporate decision making in-line with the firm s strategic objectives. Are you interested in learning about finance or perhaps expanding what you know, while still staying close to your roots as a software engineer? As a software engineer in CPM Engineering, you will help create new and/or transform financial and spend management workflows and build intelligent reporting to drive commercial benefits to the firm. You will explore a world of opportunity at the speed of markets and will have the opportunity to impact one or more aspects of corporate planning and management, while working in small, nimble teams. How will you fulfill your potential You are energetic, self-directed and self-motivated, able to build and sustain long-term relationships with clients and colleagues. Intuitively coalesce towards problems with an open mind, within the context of a team You have exceptional analytical skills, able to apply knowledge and experience in decision-making to arrive at creative and commercial solutions You possess a strong desire to learn and contribute solutions and ideas to a broad team You are independent and comfortable in a fast paced, ambiguous and often multi-directional work environments Manage multiple tasks and use sound judgment when prioritizing Provide digitally-advanced financial products to clients Collaborate with globally-located cross functional team in building customer-centric products Analyze existing software implementations to identify areas of improvement and provide estimates for implementing new features Update and maintain documentation for team processes, best practices, and software runbooks Basic Qualifications Minimum 1+ years of relevant professional experience B.S. or higher in Computer Science (or equivalent work experience) 1+ years of experience writing Java APIs Expertise in React JS, HTML5, Java Strong written and verbal communication skills Ability to establish trusted partnerships with product heads, and executive level stakeholders Experience building transactional systems and strong understanding of software architecture Experience integrating with Restful web services Comfort with agile operating models Preferred Qualifications Experience with micro service architecture Experience with React JS Experience with Apache Spark, Hadoop, Hive, Spring Boot Goldman Sachs Engineering Culture