5 Numerical Algorithms Jobs

The Pricing Model Validation team is looking for a Model Validation Lead- Derivative Pricing VP to join their team in Mumbai, India. As a part of Model Risk Management, your mission will be to actively manage model risk globally in line with the bank's risk appetite. This includes performing independent model validation, identifying model risks proactively, recommending model risk appetite, managing and mitigating model risks effectively, establishing model risk metrics, and designing a strong model risk management and governance framework. Your key responsibilities will involve independently reviewing and analyzing derivative models for pricing and risk management across Rates, FX, and Hybrids. You will collaborate with the pricing validation team in London and Berlin to conduct validation testing, analyze mathematical models, implementation methods, traded products, associated risks, and engage with key stakeholders such as Front Office Trading, Front Office Quants, Market Risk Managers, and Finance Controllers. Additionally, you will be responsible for managing team members, ensuring their knowledge, motivation, training, communication with stakeholders, work quality, and compliance meet expectations. To excel in this role, you should possess excellent mathematical abilities with a sound understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. A strong interest in financial markets, especially derivative pricing, along with experience in coding in Python, will be advantageous. Effective written and oral communication skills, people management, stakeholder engagement, and quality assurance experience are essential. You should hold an academic degree in a quantitative discipline with a focus on application, such as Mathematical Finance, Statistics, Maths, Physics, or Engineering. The company offers training, development, coaching, and a culture of continuous learning to support your career growth. Benefits include a best-in-class leave policy, gender-neutral parental leaves, reimbursement under childcare assistance benefit, sponsorship for industry certifications, employee assistance program, comprehensive insurance coverage, and complementary health screenings. Deutsche Bank Group fosters a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. They encourage a positive, fair, and inclusive work environment and welcome applications from all individuals. For more information about the company, please visit https://www.db.com/company/company.htm.,

The Model Validation Senior Specialist- Derivative Pricing, AVP position in Mumbai, India is a part of the Model Risk Management team, which is responsible for managing model risk globally in line with the bank's risk appetite. The primary responsibilities include performing independent model validation, identifying model risks proactively, recommending model risk appetite, managing and mitigating model risks effectively, establishing model risk metrics, and designing a strong model risk management and governance framework. Additionally, the team is responsible for creating bank-wide Market Risk policies. The Pricing Model Validation team, as part of Model Risk Management, conducts independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. As a Quantitative Analyst in Mumbai, you will collaborate with the pricing validation team in London and Berlin to produce, analyze, and document validation testing. A good understanding of mathematical models, implementation methods, products traded in markets, and associated risks is crucial for this role. The outcomes of the review and analysis will be discussed with key model stakeholders, including Front Office Trading, Front Office Quants, Market Risk Managers, and Finance Controllers. Key Responsibilities: - Independently review and analyze derivative models for pricing and risk management across Rates, FX, and Hybrids. - Collaborate with the pricing validation team in London and Berlin. - Engage in discussions with key model stakeholders to present the outcomes of the review and analysis. Skills And Experience: - Excellent mathematical ability with knowledge in Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. - Strong interest in financial markets, especially derivative pricing. - Proficiency in coding, primarily in Python. - Excellent written and oral communication skills. - 5-8 years of experience in model development, market risk, or model validation. Education/Qualifications: - Academic degree in a quantitative discipline with a focus on application, such as Mathematical Finance, Statistics, Maths, Physics, or Engineering. The position offers various benefits under a flexible scheme, including leave policies, parental leaves, childcare assistance, sponsorship for certifications, and comprehensive insurance coverage. Training, coaching, and support are provided to aid career development and progression. The company promotes a positive, fair, and inclusive work environment where employees are empowered to excel together every day. For more information about the company, please visit: https://www.db.com/company/company.htm,

As an Engineer at Goldman Sachs, you will play a crucial role in making things possible and connecting people and capital with innovative ideas to change the world. Your main objective will be to solve complex engineering problems for clients by building scalable software, architecting low latency infrastructure solutions, protecting against cyber threats, and utilizing machine learning in conjunction with financial engineering to convert data into actionable insights. By joining our engineering teams, you will have the opportunity to create new businesses, revolutionize finance, and explore endless possibilities in the dynamic world of markets. In today's increasingly complex markets, our business thrives on providing access to capital, managing risks, and offering investment opportunities that align with our clients" goals. We pride ourselves on our ability to anticipate and respond to evolving market conditions, creating opportunities that uphold the trust our clients have placed in us. Joining our team at Goldman Sachs will offer you: - Broad exposure to pricing and calibration models for various financial products - Experience in tackling challenging quantitative problems related to risk modeling, Monte-Carlo simulations, and valuation risk measurements - Opportunities to apply machine learning and data science skills in the field of finance - Insight into the evolving regulatory landscape and the chance to leverage your quantitative skills in managing capital resources - Engagement with business users and engineers across different business areas to understand requirements and propose tailored solutions - Autonomy in designing and implementing solutions to meet stakeholders" needs - Encouragement to suggest product improvements and add value for stakeholders - Support for your professional development through training, learning opportunities, and increasing responsibilities within the organization Responsibilities: As part of the role, you will: - Develop quantitative models in three key areas: independent price verification, revenue analysis and modeling, and regulatory capital models - Provide ongoing testing, support, and documentation for existing models - Collaborate with various teams across Finance, building strong relationships and identifying opportunities for cross-divisional collaboration - Offer technical and functional guidance to junior team members as needed Skills and Experience Requirements: - PhD or Masters in a quantitative field such as mathematics, physics, statistics, or engineering - Experience in financial modeling - Proficiency in mathematics, modeling, numerical algorithms, and programming languages like C++, Python, or Java - Strong communication skills for engaging with technical and business audiences globally - Ability to multitask, manage multiple stakeholders, and work effectively in a team environment About Goldman Sachs: Goldman Sachs is a global investment banking, securities, and investment management firm committed to helping clients, shareholders, and communities grow. Founded in 1869 and headquartered in New York, we operate offices worldwide. We prioritize diversity, inclusion, and professional growth, offering various opportunities for training, development, and personal advancement to our employees. As part of our commitment to diversity and inclusion, we provide accommodations for candidates with special needs or disabilities during the recruiting process. Learn more about our inclusive culture and benefits at GS.com/careers. Please be aware that this role requires on-site work at U.S. locations and compliance with our COVID-19 vaccination requirement. Employees must be fully vaccinated or eligible for medical or religious accommodations as per CDC guidelines and applicable laws. Goldman Sachs Group, Inc., 2025. All rights reserved.,

Whether you are at the start of your career or looking to discover your next adventure, your story begins at Citi. At Citi, you will have the opportunity to expand your skills and make a difference at one of the world's most global banks. Citi is fully committed to supporting your growth and development from the start with extensive on-the-job training and exposure to senior leaders, as well as more traditional learning. You will also have the chance to give back and make a positive impact where we live and work through volunteerism. Transaction Management (TM) is responsible for supporting multiple aspects of the wholesale lending lifecycle including, but not limited to, loan closing and servicing coordination, facilitating complex client onboarding, data management, and quality control. The team is accountable and responsible for operational oversight of the closing and servicing of all lending transactions across the business division being supported, and to ensure all internal and external requirements are met. We are seeking an experienced and results-driven operational business intelligence and analytics manager to lead the development, implementation, and optimization of data-driven solutions that support operational efficiency and strategic decision-making. In this role, you will work closely with cross-functional teams to provide actionable insights through business intelligence and design that will drive initiatives to optimize business operations. As the operational business intelligence and analytics manager, you are expected to: - Lead the development and delivery of comprehensive business intelligence and analytics focused on operational and business performance, including qualifying and quantifying key business problems and opportunities. - Design and manage dashboards and data visualization that monitor key operational risks. - Analyze complex datasets and generate actionable insights to support senior decision-making in areas like productivity, cost efficiency, and process optimization. - Partner with business and operational teams to identify and prioritize areas for improvement using data-driven insight. - Oversee the setup, maintenance, and optimization of business intelligence platforms ensuring data integrity and accessibility for relevant stakeholders. - Work closely with reporting and wider analytics teams to identify, source, and refine data sets needed to perform critical business intelligence analytics and presentations. - Evaluate and implement new tools and technologies to improve data collection, analysis, and reporting capabilities. - Work closely with senior leadership and other functional teams to translate business requirements into business intelligence solutions. - Act as a key point of contact for operational analytics needs, ensuring alignment with business objectives. - Rapidly develop an in-depth understanding of the operating model across the teams to drive targeted control/data recommendations. - Validate, verify, and quantify the effectiveness of the solutions delivered and the resolution of root causes, through improvement in performance/risk metrics. - Conduct regular meetings with stakeholders to discuss performance and analyze trends. - Directly or indirectly manage a group of business intelligence professionals including providing training on the usage of data, analytics, and root cause analysis. To be a successful candidate for this role, you ideally have the following skills and exposure: - 12+ years of experience in BI, data analytics, and operational analysis preferably in the banking space. - Proven experience managing cross-functional projects and collaborating with business stakeholders. - Ability to focus on immediate and multiple deliveries while maintaining a view of the wider strategic state to ensure overall alignment to organizational strategies. - Strong understanding of operations management and key performance indicators (KPIs) related to business performance. - Working knowledge of mathematics including statistics, time series analysis, and numerical algorithms. - Advanced proficiency with data analytics and visualization tools (e.g., Tableau, Power BI, Excel, and PowerPoint). - Strong experience with databases and data tools (e.g., SQL, Python). - Proven ability to manage multiple priorities and adapt in a fast-paced, dynamic environment. - Strong communication and presentation skills, with the ability to convey complex analytical insights to non-technical stakeholders. - Strong leadership and team management skills. - Organizational skills with the ability to manage and lead multiple priorities and programs with varying priorities in parallel. - Sense of accountability and ownership to drive solutions for business delivery. - Excellent written and verbal communication, organizational, and interpersonal skills. - Ability to challenge assumptions and influence stakeholders in a productive and constructive manner to drive and deliver improvements and efficiencies. - Ability to work well under tight deadlines, manage priorities, and complete assigned tasks with minimal management follow-up. - Ability to understand the detail and how the components fit into the larger picture. - Ability to work in granular detail but maintain a strategic view. - Developed analytical and problem-solving abilities. - Established knowledge of wholesale lending products including, but not limited to, syndicated loans and letters of credit. - Proficient understanding of lending documentation and processes, including legal and credit documents, funding mechanics, deal structure, and funds flows. Education: - Bachelor's/University degree or equivalent experience. Take the next step in your career and apply for this role at Citi today.,

The Portfolio Models and Alpha Model Validation Specialist, Associate role based in Mumbai, India is a part of the Model Risk Management (MoRM) team at Deutsche Bank. MoRM is responsible for managing model risk by independently validating internal models and monitoring and controlling model risk. The Portfolio Models and Alpha validation team within MoRM focuses on validating portfolio models developed for Credit Risk, Business Risk, Operational Risk, and Risk Type Diversification. As a Portfolio Models and Alpha Model Validation Specialist, your key responsibilities will include independent validation of models and model changes, performing quantitative analyses, enhancing validation concepts, and ensuring adherence to model risk standards like SR11-07. To be successful in this role, you should have an academic degree in Mathematics, Statistics, Physics, Econometrics, or a similar discipline. You should possess 2-7 years of professional experience in Operational risk and Portfolio Risk model development or validation. Strong mathematical abilities and proficiency in programming languages like Python, Matlab, R, C++, and experience in Machine Learning are essential. Additionally, you should have IT affinity, data analysis skills, and a good understanding of IT processes. The role offers benefits such as a best-in-class leave policy, gender-neutral parental leaves, reimbursement under childcare assistance benefit, sponsorship for industry relevant certifications, Employee Assistance Program, comprehensive insurance coverage, and health screening. Training and development opportunities, coaching, and a culture of continuous learning are provided to support your career growth. Deutsche Bank promotes a culture of empowerment, responsibility, commercial thinking, initiative, and collaboration. They encourage a positive, fair, and inclusive work environment where all individuals are welcome. For more information about Deutsche Bank, please visit their company website at https://www.db.com/company/company.htm.,