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• Moody's Corporation

  

  Vice President - Modeling & Quant Analytics (MRG)

  12 days ago

  London

  hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. \n At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. \n If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. \n Skills and Competencies \n\n • A deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. \n, • A deep understanding of AI model risk management, including risks and controls specific to Generative AI and Agentic AI, and their implications for model validation and governance. \n, • Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization. \n, • The ability to articulate complex ideas fluently and clearly. \n, • Proficiency in programming languages such as R, Python, MATLAB, and SQL, with the ability to work within an established code base. Knowledge of C++ programming is preferred. \n, • Previous experience in model validation and development, particularly in areas such as credit risk, counterparty credit risk, or market risk is necessary. Candidates should be adept at handling model validation assignments with minimal supervision. \n, • 10+ years of experience in model development, validation, and risk analytics is necessary. \n, • Build and nurture relationships: Inspire and encourage team members to build strong, collaborative relationships \n, • Provide timely feedback and coaching: Offer constructive feedback and coaching to help team members optimize their potential \n, • Role-model growth mindset: Foster innovation and advance the team's evolution by demonstrating a growth mindset \n, • Encourage agile thinking and adaptability within the team \n, • Translate strategy into actionable goals: Ensure the team focuses on critical priorities by setting clear, actionable goals \n, • Establish a compelling vision: Provide clear direction and a compelling vision for the team to follow \n, • Create a culture of trust: Honor commitments and treat everyone with respect to build a culture of trust \n, • Highly organized, efficient, and detail-oriented, demonstrating a high level of accuracy in their work. \n, • Possesses excellent organizational skills, capable of multitasking and prioritizing work effectively within a team environment. \n, • The ability to work under tight deadlines, manage time efficiently, and maintain focus is essential. \n, • Candidates should be capable of working both independently and collaboratively, with strong English written and spoken communication skills. \n\n Education \n\n • A strong academic background in a quantitative field such as mathematics, artificial intelligence, physics, economics or engineering or a program focused on quantitative discipline is essential, with a preference for candidates holding a post-graduate degree. \n\n Responsibilities \n The role involves validating models, scorecards and agents used in the context of credit rating activities across asset classes as well as AI model risk management and development. In addition to solid traditional model validation skills and experience, the successful candidate will provide in-depth knowledge and expertise in Generative & Agentic AI. \n\n • Execute and lead independent validation reviews of credit rating models, scorecards, including hands‑on assessment of inputs, assumptions, conceptual soundness, performance, and limitations. \n, • Lead AI model risk management activities end‑to‑end, including identification, assessment, and mitigation of risks specific to GenAI and agentic AI. \n, • Design and deliver complex validation analyses, including model replication, challenger development, sensitivity testing, benchmarking, and ad‑hoc quantitative investigations. \n, • Own validation outputs end‑to‑end, from test plan design through clear, concise validation reporting and effective challenge of model developers. \n, • Develop AI model risk management capability within MRG, mentoring validators, developing GenAI and Agentic AI expertise, and actively contributing as a subject‑matter expert across analytical and methodology teams. \n, • Drive rigorous execution standards and culture, promoting effective challenge, continuous improvement, and practical application of model risk frameworks and policies. \n \n\n About the team \n The MRG Quantitative Review team independently reviews and validates quantitative models and scorecards that support credit ratings. It notably assesses whether these tools are conceptually sound, appropriately calibrated, and fit for purpose, and that they operate in line with approved methodologies and governance standards. \n #LI-Hybrid \n Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. \n Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

• J.P. Morgan

  

  Planning and Analysis Data Modeler - Senior Associate

  12 days ago

  London

  hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Are you passionate about transforming data into actionable insights? Join our Transformation & Innovation team, where you'll help shape the future of financial analysis at JPMorganChase. You'll have the opportunity to grow your career, collaborate with talented colleagues, and make a real impact by building data products that empower our Planning & Analysis community. We value your curiosity, creativity, and drive to deliver solutions that make data accessible and meaningful. \n As a Planning and Analysis Data Modeler - Senior Associate within the Corporate Financial Analysis team, you will design and implement end-to-end data models that enhance accessibility and understanding for a diverse range of users. You will work closely with finance, analytics, and technology teams to build and refine data models, making information easier to use and standardizing data across the organization. Your role is central to improving data pipelines and supporting innovation, helping us deliver high-quality solutions that drive business performance. \n Job responsibilities \n\n • Design, develop, test, and refine data models and analytic prototypes\n, • Solve complex data challenges at the intersection of finance and technology\n, • Support the development of cloud-based data lakehouse solutions for Planning & Analysis\n, • Guide and support data consumers in leveraging data products for analytics and planning\n, • Utilize AI-assisted coding tools to accelerate development and optimize SQL\n, • Identify opportunities to embed AI into Planning & Analysis workflows\n, • Work with diverse data sets to support various Planning & Analysis processes\n, • Collaborate with senior team members on solution design\n, • Inspire innovation and champion change across teams within JPMorganChase\n\n Required qualifications, capabilities, and skills \n\n • Strong analytical and problem-solving skills with attention to detail\n, • Hands-on experience building and prototyping data models to address user needs\n, • Proficient in SQL and Python for data analysis, engineering, and transformation\n, • Relevant experience developing, testing, and refining data models using dimensional and relational approaches\n, • Curious mindset with a drive for continuous improvement\n, • Familiarity with prompt engineering principles and LLM-based tools\n, • Effective communication skills to present data findings and support users\n, • Experience with ETL/ELT processes and architecture in data pipelines\n, • Experience building models for dashboard or cube consumption\n, • Familiarity with cloud-based data lake platforms such as AWS, Azure, or Google Cloud\n, • Bachelor's degree in computer science, data science, information systems, business analytics, or related discipline\n\n Preferred qualifications, capabilities, and skills \n\n • Experience with Databricks and notebook-based development\n, • Experience working with financial and workforce datasets\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

• J.P. Morgan

  

  Product Manager - Model Risk Governance Review

  12 days ago

  London

  hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join a global model risk organization at the heart of keeping JPMorgan Chase strong and resilient. In this role, you will shape products that enable effective model risk governance across the firm. \n You will partner with model risk experts, technologists, and designers to deliver scalable, impactful solutions. This is an opportunity to influence how critical risk frameworks are supported and evolved at enterprise scale. You will be part of a culture that challenges the status quo and strives to be best-in-class. \n As a Product Manager in the Model Risk Governance and Review (MRGR) Product Team within MRGR COO, you help design and deliver processes and technical solutions that support effective management of Model Risk. You work closely with model risk stakeholders, technology partners, and UX teams to ensure products supporting validation, inventory governance, and reporting are well defined and delivered. You contribute to a global risk organization that helps ensure models are fit for purpose, used appropriately, and understood within their business context. \n Job responsibilities \n\n • Drive the product roadmap for key model risk products, ensuring alignment with business objectives and user needs\n, • Lead end-to-end product lifecycle management from ideation and requirements gathering through development, launch, and optimization\n, • Partner with model risk stakeholders to design specifications for governance processes and supporting tooling\n, • Collaborate with engineering, UI/UX, operations, compliance, and other crossâfunctional teams\n, • Work closely with technology and UI/UX teams to ensure development is budgeted, prioritized, and delivered effectively\n, • Manage stakeholder relationships, communicate product plans and progress, and incorporate feedback into product decisions\n, • Lead, mentor, and develop a team of product associates\n, • Track project timelines, milestones, dependencies, and risks to support timely delivery\n, • Identify and mitigate issues that may impact product development or delivery\n, • Present recommendations to address critical dependencies and challenges\n, • Provide support to user groups by addressing product questions and resolving issues\n\n Required qualifications, capabilities, and skills \n\n • Bachelor's degree\n, • Significant experience in product management with a track record of delivering successful products\n, • Demonstrated experience leading and developing teams\n, • Strong communication and stakeholder management skills\n, • Excellent organizational skills and attention to detail\n, • Proven ability to manage competing priorities under tight deadlines\n, • Strong collaboration skills and ability to build effective partnerships\n, • Solid understanding of product lifecycle management and agile methodologies\n, • High degree of initiative, selfâdirection, and ability to work under pressure\n, • Intellectual curiosity and ability to learn quickly\n\n Preferred qualifications, capabilities, and skills \n\n • Experience working within large financial services organizations\n, • Basic domain knowledge of Model Risk Management\n, • Experience collaborating with technology and UX design partners on technical and product designs\n, • Strong UI/UX design skills or demonstrated ability to engage on design topics\n, • Working knowledge of Generative AI, including Large Language Models (LLMs), prompt design, and fineâtuning techniques\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

• Dunnhumby Ltd

  

  Price & Promotion Senior Consulting Lead

  10 days ago

  London

  hackajob is collaborating with Dunnhumby Ltd to connect them with exceptional professionals for this role. \n dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers. \n dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro. \n About the Role \n We are seeking a highly skilled and motivated Senior Consulting Lead to join dunnhumby’s Price & Promotions team on a permanent basis. This role will be pivotal in supporting the ongoing Delivery of Tesco UK Promotional workplan and strategy. \n You will act as a trusted consultant to Tesco’s internal teams; including but not limited to: Central Planning, Tradeplanning, Store Format and Product teams to help shape the future of promotions through data-driven insights and collaborative implementation. This is a unique opportunity to work at the intersection of retail strategy, data science, and product innovation, delivering measurable impact for one of the UK’s largest retailers. \n Key Responsibilities \n Consulting & Strategy Development \n\n • Partner with Tesco’s Product, Commercial, and Promotions Capability teams to define and deliver the Promotions vision.\n, • Provide strategic guidance on promotions planning, measurement, and optimisation using dunnhumby’s data science and analytics capabilities.\n, • Translate complex business challenges into actionable solutions and product features.\n\n Solution Design & Implementation \n\n • Collaborate with dunnhumby’s Product, Science, Analytics, and Engineering teams to co-develop and test new promotions solutions.\n, • Support the design and rollout of enhancements to Tesco’s in-house promotions platform.\n, • Lead workshops and discovery sessions to gather requirements and validate solution design.\n\n Stakeholder Engagement \n\n • Build strong relationships across Tesco and dunnhumby teams, acting as a bridge between commercial needs and technical capabilities.\n, • Influence decision-making through compelling storytelling and evidence-based recommendations.\n, • Champion change management and adoption of new processes and tools.\n\n Measurement & Insight \n\n • Support the development of robust measurement frameworks to assess promotional effectiveness.\n, • Identify opportunities for continuous improvement and innovation in promotions strategy.\n\n Required Skills & Experience \n\n • Proven experience in retail consulting, promotions strategy, or product implementation within a data-driven environment.\n, • Strong understanding of retail pricing and promotions, ideally within the UK grocery sector.\n, • Excellent stakeholder management and communication skills, with the ability to influence at all levels.\n, • Experience working in cross-functional teams including Product, Engineering, Science, and Commercial.\n, • Comfortable navigating ambiguity and driving clarity in complex programmes.\n, • Analytical mindset with the ability to interpret data and translate it into strategic insights.\n, • Familiarity with dunnhumby tools and methodologies is a plus.\n\n What You’ll Gain \n\n • The opportunity to work on a high-profile promotional programme with Tesco.\n, • Exposure to cutting-edge data science and product development in retail.\n, • A collaborative, inclusive culture that values curiosity, courage, and customer-first thinking.\n, • Flexible working arrangements and access to dunnhumby’s employee benefits.\n\n What you can expect from us \n We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. \n You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. \n And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. \n Our approach to Flexible Working \n At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. \n We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. \n For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

• Vanguard

  

  Head of Validation, Model Risk Management

  12 days ago

  London

  hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. \n Overview \n The Head of Validation, Model Risk is a senior leadership role responsible for setting enterprise direction for model validation—delivering independent, risk-based oversight across a diverse portfolio of models spanning investment and risk management, fraud and compliance, finance and HR, and rapidly evolving Gen AI and agentic use cases. This role serves as the senior authority for model validation, setting the bar for defensible methodologies, rigorous challenge, and clear, decision-ready risk communication to senior leaders. The Head of Validation will strengthen model risk culture and lifecycle discipline across the enterprise—driving timely issue remediation, elevating validation quality and consistency, and ensuring Vanguard’s practices remain aligned with regulatory and audit expectations. \n Responsibilities \n Leadership & Team Management \n\n • Leads a high‑performing, multidisciplinary model validation team responsible for validating a diverse portfolio of models including investment and risk management, fraud and compliance, finance and HR, as well as Gen AI and Agentic use cases\n, • Develop and mentor talent to promote strong technical capabilities and a high-quality validation process\n\n Validation Oversight & Approval \n\n • Serve as the final approval authority for validation reports on higher-risk models\n, • Ensure validation conclusions are robust, well‑supported, and communicated clearly to stakeholders with varying levels of technical expertise\n\n Model Risk Governance & Lifecycle Management \n\n • Oversee adherence to enterprise model lifecycle requirements—including model inventory accuracy, change management, ongoing monitoring, and issue remediation.\n, • Drive timely resolution of model‑related issues and non‑compliance, escalating when necessary\n, • Strengthen model‑risk culture across the enterprise through targeted training, outreach, and proactive engagement with model owners and developers\n\n Methodology & Practice Leadership \n\n • Define, maintain, and continually enhance the methodologies and test approaches used in model validation\n, • Ensure comprehensive assessment of conceptual soundness, performance, data quality, implementation accuracy, and other model risk considerations\n, • Lead the evolution of validation techniques for emerging modeling approaches, including LLM‑enabled and agentic systems\n\n Standards, Policies & Quality Assurance \n\n • Own the enterprise’s model development and model validation standards, guidelines, procedures, and templates.\n, • Establish and oversee quality assurance mechanisms—including peer review, thematic reviews, and consistency checks—to ensure embedment of high-quality validation practices.\n\n Executive Reporting & Model Risk Insights \n\n • Deliver clear, actionable reporting on key model risks, model uncertainty, issue remediation, and emerging trends to senior committees and executives.\n, • Support the development and enhancement of divisional and enterprise model‑quality scorecards and contribute to the risk‑appetite process\n\n Senior Stakeholder, Regulatory & Audit Engagement \n\n • Serve as a primary point of contact for regulators, internal audit, and senior leaders on model validation related matters\n, • Articulate validation rationales, modeling assumptions, and risk implications clearly and confidently to supervisory authorities and executive stakeholders.\n\n Qualifications \n\n • Advanced degree in technical field (e.g. Master's or doctoral degree in quantitative discipline such as Mathematics, Statistics, or Economics).\n, • 10+ years of experience across model development, model validation, and model risk management, including a minimum of five years leading multi‑layered model validation teams.\n, • Extensive experience with a broad range of model types, including machine learning/LLM‑based models.\n, • Deep knowledge of model‑risk management principles and regulatory frameworks (e.g., SR26-2, SS1/23) and demonstrated experience engaging with regulators and internal audit.\n, • Strong technical proficiency with programming languages and analytical tools such as Python, R, or C++, and familiarity with emerging technologies, AI governance, and modern model development practices.\n, • Proven ability to translate complex technical concepts into clear, actionable insights for senior executives.\n, • Exceptional written and verbal communication skills, including experience presenting to senior committees, executives, and regulatory bodies.\n, • Demonstrated ability to partner with stakeholders to balance effective challenge, practical solutions, and business objectives.\n\n Special Factors \n Sponsorship \n Vanguard is not offering visa sponsorship for this position. \n About Vanguard \n At Vanguard, we don't just have a mission—we're on a mission. \n To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best. \n How We Work \n Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

• Verisk

  

  Catastrophe Model Product Management Associate

  21 days ago

  London

  hackajob is collaborating with Verisk to connect them with exceptional professionals for this role. \n Description \n Verisk is looking for a passionate, motivated individual to join the dynamic, client facing Model Product Management team in London as a Catastrophe Model Product Management Associate. You’ll have an important role in shaping the future of Verisk models, with opportunities to contribute to the scope, monitor the execution and facilitate the implementation. You'll be at the forefront of bringing these complex and interdisciplinary models to market, ensuring a customer-focused approach throughout the process. \n If you're passionate about innovation and thrive in a collaborative environment, this is the perfect role for you! \n Responsibilities \n\n • \n Foster strong client relationships, supporting their model needs and ensuring an effective feedback loop to inform model strategy and relevance. \n • \n Communicate upcoming model updates and support go-to-market strategies. \n • \n Deliver technical model presentations and address client questions to support licensing, model evaluation, regulatory compliance, and adoption. \n • \n Collaborate with Consulting, Client Services, and Research teams to drive model adoption, perform market research, and translate scientific innovations into model scope requirements. \n • \n Execute model change management for London and European clients, ensuring timely support and resource availability. \n • \n Represent Verisk at industry and academic conferences, presenting models and thought leadership. \n • \n Work with Regulatory, Consulting, and Client Services teams to address market needs, regulatory questionnaires, and insurance/climate stress test reporting. \n • \n Build relationships with all key Verisk stakeholders (consulting, research, engineering, QA, business development) and collaborate with adjacent business units on go-to-market plans. \n • \n Collect feedback on opportunities to leverage model data-as-a-service for evaluation, parametric insurance, and underwriting tools, focusing on London, Europe, and international markets. \n\n Qualifications \n\n • \n Graduate degree in a STEM field (PhD preferred; Master’s with relevant experience considered). \n • \n 3+ years of experience in the insurance industry or academia. \n • \n Knowledge of the Lloyd’s market preferred. \n • \n Interest in and knowledge of multiple natural hazard catastrophe models (e.g., hurricane, earthquake, flood, wildfire, severe thunderstorm) preferred. \n • \n Excellent communication skills, with the ability to explain complex topics clearly. \n • \n Proven experience managing long-term, complex projects with cross-functional teams, balancing multiple priorities simultaneously. \n • \n Ability to motivate and foster innovative discussions among colleagues is desirable. \n • \n Direct Product Management experience desirable. \n • \n Coding skills in SQL, R, or Python are beneficial; ArcGIS knowledge desirable. \n • \n Knowledge of Touchstone and Touchstone Re desirable but not essential. \n\n #LI-AA1 \n #LI-Hybrid

• J.P. Morgan

  

  Quant Model Risk Vice President - Rates

  12 days ago

  London

  hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We are looking for a new member to join our Interest Rates team in the Model Risk Governance and Review Group which is responsible for end-to-end model risk management across the firm. \n As a Quant Model Risk Vice President in the Interest Rates team, you will assess and help mitigate the model risk of complex models used in the context of valuation and risk measurement for Interest Rate derivatives. Additionally, you will have an opportunity for exposure to a variety of business and functional area as well as will work closely with model developers and users. \n You will also have managerial responsibility to oversee, train and mentor junior members of the team. \n Job responsibilities \n\n • Carries out model reviews: analyze conceptual soundness of complex pricing models, engines, and reserve methodologies; assess model behavior and suitability of pricing models/engines to particular products/structures\n, • Provides guidance on model usage and act as first point of contact for the business on all new models and changes to existing models\n, • Develop and implement alternative model benchmarks and compare the outcome of various models; Design model performance metrics\n, • Liaises with model developers, Risk and Valuation Control Groups and provide guidance on model risk\n, • Evaluates model performance on a regular basis\n, • Manage and develop junior members of the team.\n\n Required qualifications, capabilities, and skills \n We are looking for someone excited to join our organization. If you meet the minimum requirements below, you are encouraged to apply to be considered for this role. \n\n • 5+ years of experience in a FO or model risk quantitative role.\n, • Excellence in probability theory, stochastic processes, statistics, partial differential equations, and numerical analysis\n, • MSc, PhD or equivalent in a quantitative discipline\n, • Inquisitive nature, ability to ask right questions and escalate issues\n, • Excellent communication skills (written and verbal)\n, • Good understanding of option pricing theory (i.e. quantitative models for pricing and hedging derivatives)\n, • Good coding skills, for example in C/C++ or Python \n \n\n Preferred qualifications, capabilities, and skills \n The following additional items will be considered but are not required for this role \n\n • Experience with interest rates derivatives\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM \n Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

• Kingfisher

  

  Senior Data Modeller

  11 days ago

  London

  hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. \n Role purpose \n The Senior Data Designer defines what data is ingested into the Enterprise Data Warehouse and how it is transformed for reporting and downstream use. The role involves analysing and documenting source system data, designing data ingestion methods and frequencies, and specifying mappings, transformations, and calculations. You will ensure the target data models are coherent, well‑documented, and aligned with the wider data warehouse architecture to support clear, business‑ready insights. \n This role will be based out of our Kingfisher office in Paddington or Southampton, with an expectation of 12 days a month in the office and could also include a combination of store visits, supplier visits and conferences. There will also be occasional travel to Banner offices and GBS Krakow. \n\n • Design performant, user‑friendly data warehouse models that enable business reporting and insights\n, • Translate complex business requirements into effective data model designs, working with stakeholders to clarify needs\n, • Identify, analyse, and document source systems and data, collaborating with subject‑matter experts to understand data creation and changes\n, • Develop and maintain logical and physical data models aligned with the data roadmap and architectural principles\n, • Define and maintain source‑to‑target mappings, transformations, calculations, and metadata in line with design standards\n, • Collaborate with Data Engineers and Quality Engineers to support development, testing, and delivery, while providing guidance to junior team members and supporting ad‑hoc work\n\n\n, • Experience as a data modeller or data architect, including modelling complex data\n, • Intermediate to advanced SQL querying skills\n, • Strong attention to detail with a collaborative approach to work\n, • Experience in data quality management\n, • Desirable: Data lifecycle management experience\n, • Desirable: Experience with non‑tabular/event‑based data processing and Unity Catalog\n\n How We Work We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average, around 60% of your time will involve in-person collaboration. \n We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements. \n What We Offer An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here. \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. \n Diversity & Inclusion Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-AK1