8 Stochastic Calculus Jobs

Associate Level-1/Sr Associate-Quantitative Analyst Resources/Financing Optimization Global Market Quantitative Research (GMQR) Team is responsible for most aspects of quantitative research within the Global Market universe, covering Interest Rates, FX, Credit, and Equity. There are teams in London, New York and Asia supporting trading activities of the flow and structured desks. They are responsible for the development of pricing, risk, margin, and profitability models and their implementation in the global analytics library. GMQR Resources & Financing Optimization provides expert solutions to the financing activities for both client-facing activities and internal cost optimization. It covers the calculation of liquidity and balance sheet metrics, the optimization of funding costs and the automation of the inventory management platform. The team develops sophisticated models and put in place the infrastructure and the technology to develop, support and optimize the activity. Responsibilities Within GMQR Resources & Financing Optimization, the role focuses specifically on Liquidity and Balance Sheet metrics. This is a front office Associate quantitative research role. Participate to the development of the framework in C# used to calculate liquidity and balance sheet metrics of Global market activities. The scope covers all business lines, products and asset class of Global Markets. Develop the tooling that gives Trading operators the ability to understand all aspects of the calculation and allow them to steer the metrics efficiently daily Provide expertise and support to the users of the application Take an active part in all front office activities by collaborating with other functions (Trading, Sales, IT and Market Risk) and Research globally and develop relations with various stakeholders. Technical & Behavioral Competencies Graduate degree in mathematics or computer engineering with strong analytical skills. Knowledge of finance is a bonus. Strong analytical skills and technical background in mathematics, computer science or finance. Prior programming experience in C# or other object-oriented programming languages. Reliable and Detailed-oriented Knowledge of statistics as well as optimization algorithms. Effective communication skills, ability and willingness to engage the business Delivery focused and willingness to collaborate with other teams. Familiarity with Liquidity and Balance Sheet topics Resources is a plus Skills Referential Behavioural Skills : Attention to detail / rigor Critical thinking Communication skills - oral & written Ability to collaborate / Teamwork Transversal Skills: Analytical Ability Education Level: Bachelor Degree or equivalent Experience Level At least 2 years

About us Target is one of the world s most recognized brands and one of America s leading retailers. Target s Global Supply Chain and Logistics is evolving at an incredible pace. We are constantly reimagining how we get the right product to the guest even better, faster and more cost effectively than before. We are becoming more intelligent, automated and algorithmic in our decision-making, so that no matter how guests shop in stores or on Target.com we deliver the convenience and immediate gratification they demand and deserve. We are on a mission to win decisively over any competitor, with a seamless and superior guest service experience unlike any they can offer. Our teams work with the agility our mission requires, and we constantly come together to implement new processes in record time. So we re looking for exceptional people who are proactive, creative, independent, innovative, risk-savvy and comfortable working in varying degrees of ambiguity. Are you a critical thinker who seeks the root cause and can analyze both qualitatively and quantitativelyAre you a creative problem-solver who simplifies problems, quickly identifies solutions, commits to a plan and then positively influences others to execute itIf so, you will have success on one of our dynamic teams. A role in Fulfillment & Last Mile means creating industry leading intelligence solutions to drive best in class omnichannel guest experiences at the lowest cost to Target. You might focus on enabling the future fulfillment operating model, optimizing inventory management, driving defect resolution for guest promise and cost improvements or leveraging deep business insights and analytics to propel Target s Supply Chain. As a network steward, we design availability, promise, order allocation, and inventory optimization strategies and leverage technology to ensure our inventory is available at the right time, in the right places and quantity to meet the needs of our guest, stores and operational goals. Super-powered first and foremost by our people, and supported by robust process and technology, we are a team of data-focused, curious minds who love to solve hard problems to enable a dynamic, fast paced Supply Chain Network. Our modern operating systems are built by Target and lead in the arena of automated large scale supply chain planning and optimization systems running large-scale solves for complex optimization problems. As a Director of Fulfillment Optimization team, You will be responsible to set strategic direction to drive core analytical insights to influence eCommerce fulfillment decisions to optimize speed, cost and guest experience. You will be responsible and accountable for the delivery of business outcomes enabled through deep analytics and insights powered by analytical products You will partner with product teams, digital business teams, supply chain and other operations teams globally to deliver on business outcomes like ship expense reduction, promise speed, inventory availability on digital channel for various service levels. You will be accountable for building, coaching, and mentoring a strong team of optimization managers/analyst while also building a strong team culture of progress, transparency, and efficiency across Product teams. You will be responsible to elevate your collective team s performance by providing insightful, motivating, and constructive feedback to all roles on the team while also working with senior leadership and peers across pyramids to negotiate and remove execution related barriers for your teams. You will leverage data and analytics to provide competitive analysis, drive decision making, assess the health and effectiveness of digital fulfilment related P&L impacts, and to deliver recommendations to key stakeholders. It will be critical that you possess an understanding of retail, eCommerce or similar area, relevant technologies and design principles to drive innovative and scalable analytics across different area in supply chain. Job duties may change at any time due to business needs. About you: BTECH/MTECH/MS degree 10+ years of retail or equivalent domain experience 5+ years of leading and developing teams, with cross-functional influence Experience in business problem solving using analytical skills Experience with Supply Chain and Ecommerce Order Fulfillment Experience in leading strong analytical and business team Ability to lead and influence a global team while fostering relationships across multiple enterprise wide teams Experience with statistical tools such as SAS, R, and with scripting languages such as Python for analyzing data and building prototypes and solutions Strong communication skills and proven ability to influence both at a strategic leadership level and cross functionally A strong passion for empirical research and for answering hard questions with data. Good understanding of analysis of algorithms, simulations, A/B testing, stochastic models, forecasting Familiarity with supply chain concepts such as forecasting, planning, optimization, and logistics - gained through work experience or graduate level education.

SFD Strats play a critical role in deal structuring, pricing, execution and risk management. This is a highly visible platform to put quantitative skills and knowledge in use to make a direct impact on business growth. You will gain familiarity with different asset classes & risk factors while working on various trades and projects and build a broad foundation of product knowledge. Responsibilities Improve existing pricing models and create new ones for structured products. Understand transaction risks and analyse drivers of profits and losses. Provide analysis for new transactions. Drive commercial outcomes using data. Improve existing and create new models for the pricing and analysis of derivatives Identify, curate, and integrate new structured and unstructured datasets into models. Build end to end solutions from data collection to automated actions. Who We Look For Strong quantitative and coding skills with desire to develop commercial mindset Solid work ethics, team oriented, high levels of motivation. Ability to work in fast-paced environment and time-sensitive situations. Effective communication skills in verbal and writing to both technical and business audience. Basic Qualifications Excellent academic record in a relevant quantitative field such as Mathematics, Physics, Engineering or Computer Science. Experience in object-oriented programming with a language such as C++, Java or Python. Knowledge of Stochastic calculus and derivatives pricing, or Machine Learning background Knowledge of credit market and products, interest rates, FX, or risk management is preferred.

Job Description: PwC India is seeking highly skilled Market Risk to join our team. Designation: Senior Associate / Manager Location - Bangalore / Mumbai Responsibilities: Market Risk Model Development or Validation experience covering Value at Risk (VaR), Stress VaR (historical full revaluation, Taylor var approximation (delta gamma method), Monte Carlo) for linear instruments and derivative products, VaR mapping, back-testing VaR, Expected Shortfall, Market risk Stress testing Loss estimation, RWA calculation, Sensitivity & Scenario analysis and other coherent risk measures, modeling dependence: correlations and copulas, term structure models of interest rates, and volatility modeling Deep understanding of the Fundamental Review of the Trading Book (FRTB) regulations, specifically expertise in the Internal Models Approach (IMA) and the Standardized Approach (SA). IMA & CVA Experience is preferred Demonstrated experience in development/validation of quantitative models within the banking sector, aligning with FRTB standards, particularly in market risk modeling. Familiarity with risk factor modellability concepts, and adeptness in calculating capital requirements under FRTB guidelines. Perform the back test of the distribution of simulated risk factors Conduct quantitative analysis of market data, including historical market data and current market trends, to identify potential risks and recommend appropriate risk mitigation strategies Stay up to date with industry trends, regulations, and best practices related to market risk management Requirements: Must hold a Masters or Ph.D. degree in Mathematics, Statistics, Financial Engineering, or a related quantitative field, ensuring a strong foundation in complex financial modeling. 3+ years of experience in market risk model development/validation Proficiency in programming languages such as Python, R and strong analytical skills for effective data interpretation and model analysis. Excellent verbal and written communication skills for effective articulation of complex quantitative concepts, and a collaborative approach for working in team environments with other analysts, risk managers, and IT professionals. Candidates with exposure to FRTB- Standardized Approach implementation or FRTB IMA - Model development experience will be preferred FRM/CQF/CFA certification would be a plus

Role Overview: We are looking for an exceptional instructor to build the foundational quantitative capabilities of our students. This role demands a deep and nuanced understanding of advanced mathematics, probability, statistics, and stochastic processes, and the ability to convey these complex concepts with clarity and precision. You will be instrumental in laying the analytical bedrock for all quantitative finance careers. Key Responsibilities: Deliver live, engaging online classes on advanced mathematical concepts, probability theory, statistical inference, and time series analysis. Explain complex topics such as linear algebra, multivariable calculus, optimization, numerical methods, Bayesian statistics, ARIMA/GARCH models, and stochastic calculus (e.g., Ito's Lemma, SDEs) with exemplary clarity. Guide students through rigorous problem-solving, derivations, and statistical analyses, ensuring a deep conceptual and practical understanding. Foster a highly disciplined and interactive learning environment, providing constructive feedback and expertly answering student queries. Core Curriculum Expertise Required: Core Mathematics: Linear algebra, multivariable calculus, real analysis, optimization theory, numerical methods, optimization algorithms. Probability & Statistical Inference: Probability theory, statistical inference, hypothesis testing, Bayesian statistics. Time Series Analysis: ARIMA models, GARCH models, cointegration, Vector Autoregression (VAR). Advanced Statistical Techniques: Regression analysis, principal component analysis, Monte Carlo methods, extreme value theory, copulas, survival analysis. Stochastic Calculus: Ito's lemma, Brownian motion, stochastic differential equations, partial differential equations, measure theory, martingale theory. Data Experimentation & Signal Processing: Causal inference, A/B testing, experimental design, signal detection, regime change detection, correlation analysis. Qualifications: Educational Background: Bachelor's, Master's, or PhD in Mathematics, Statistics, Quantitative Finance, Econometrics, Physics, or a closely related highly quantitative field. Experience: Proven experience in applying advanced mathematics, probability, and statistics in academic research, quantitative finance, or a related analytical domain. We value both experienced educators and talented freshers with exceptional academic records and demonstrable project experience. Domain Expertise: Possess an extremely strong and expert-level understanding of the theoretical and applied aspects of advanced mathematics, statistics, and stochastic processes relevant to quantitative finance. Exceptional Communication Skills: Superior ability to articulate the most complex mathematical and statistical concepts clearly, concisely, and engagingly in a live online setting. High Discipline & Work Ethic: Demonstrated ability to maintain a rigorous teaching schedule, prepare thoroughly, and foster a disciplined learning environment. Technical Proficiency: Highly tech-savvy with experience in online teaching tools, virtual whiteboards, and mathematical/statistical software (e.g., MATLAB, R, Python with scientific computing libraries). Mandatory Requirement (Crucial for Application): A strong background in Finance or Trading , especially with Algorithmic Trading or broader Quant experience , is a mandatory requirement for all applicants. This ensures practical relevance and industry context. Application Requirement: To assess your teaching prowess and technical communication skills, all applicants must submit a sample teaching video of at least 30 minutes on any topic within Quantitative Foundations (Mathematics, Statistics & Stochastic Processes) that you are highly proficient in (e.g., explaining Ito's Lemma, demonstrating Bayesian inference, or breaking down GARCH models). This video should clearly demonstrate your ability to explain complex concepts, engage an audience, and showcase your depth of expertise, hard work, and disciplined approach to teaching.

About The Role : Job Title Model Validation Senior Specialist- Derivative Pricing, AVP LocationMumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll 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 The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders including Front Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in a high level language primarily Python. Excellent communication skills both written and oral. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application. 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.

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Senor Manager and Team Leader, Model Validation In this role, you will be responsible for leading a model validation function covering market risk, counterparty credit risk and derivatives valuation. Responsibilities You will be leading a team of varying seniority resources who are working with independent model validation function of a large banking client and will involve end-to-end validation of risk and regulatory models. Your activities will include, but will not be limited to the following: Bringing the thought leadership to review the team’s output and guide the team in effective challenge of the models they are working on. Occasionally, validating models Develop in-depth understanding of clients’ products and systems. Develop awareness of existing model limitations. Maintaining strong relationships with clients’ leaders in the market risk, counterparty credit risk and traded products The team work on the following: Independent model validation, especially comprehensive model validation within 2nd line of defense, using SR 11-7 or similar guidelines. Exhaustive model validation will include conceptual assessment of model’s use, method, assumptions, limitations and on-going monitoring and control, model’s outcome analysis. Development of benchmark models may be needed. Assessment of the model monitoring and implementation process. Assessment of the model calibration techniques Prepare model validation report summarizing findings and providing recommendations. Taking strategic decisions to ensure delivery objectives and client satisfaction. Coordinate with internal management and support functions to execute on the strategies. Qualifications we seek in you! Minimum Qualifications / Skills Post-graduate degree / diploma in Statistics, Mathematics, Economics / Econometrics, Physics from reputed institutes with courses in Financial Engineering or FRM / CQF. Candidates with PhD degrees will be preferred. Candidate with MBA degree needs to show strong advance mathematical knowledge / background. Relevant experience in Banking or Capital Markets, with experience in model validation. Good understanding and experience in at least one of the regulatory risk modeling / validation guidelines – SR 11-7, FRTB SA, CCR, SIMM, SA CCR, Stress Testing Good understanding of model / system landscapes, like, pricing / Greeks, scenario generation, risk aggregation, etc. Good understanding of vanilla and exotic derivatives in all asset classes, and their impact on various market risk (VaR, SVaR, FRTB – SBM, DRC and RRAO) and CCR components. Thorough understanding of stochastic processes and their models, stochastic volatility models, yield curve models Good understanding of conventions of various markets like treasury, fixed income, equities, commodities etc. Good understanding of market conventions of various risk factors, such as IR, EQ, FX, etc. and understanding of inflation products and their quotations. Exposure to any treasury system such as Murex, Calypso etc. or market data providers such as Bloomberg and Reuters. The ability to build stochastic Monte Carlo and PDE based models in Python. Effective communication/presentation skills – written & verbal. Self-driven, initiative-taking, “can-do” attitude. Ability to work under ambiguity and with minimal supervision. Preferred Qualifications/ Skills Strong networking, negotiation and influencing skills. Though leadership in model validation practices. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

About The Role : Job TitleModel Validation Lead- Derivative Pricing Corporate TitleVP LocationMumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll 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 The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders includingFront Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in Python an advantage. Excellent communication skills both written and oral. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application. 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.