{"id":2220135,"url":"https://alion.io/job/citi-physical-climate-risk-model-developer-vice-president","title":"Physical Climate Risk Model Developer, Vice President","company":{"id":7841,"name":"Citi","domain":"citi.com","url":"https://alion.io/company/citi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":384,"ghost_share":0.008,"stale_share":0.005,"repost_share":0.089,"time_to_fill_p50_days":10,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":47000,"max_usd":115000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":49},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-21T13:28:32Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Citi’s Risk Management organization oversees risk-taking activities and assesses risks and issues independently of the front-line units. We establish and maintain the enterprise risk management framework that ensures the ability to consistently identify, measure, monitor, control and report material aggregate risks.\nWe’re currently looking for a high caliber professional to join our team as Risk Reporting Senior Manager, Vice President (Internal Job Title): Risk Reporting Senior Manager, Vice President- C13 based in Mumbai, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decisions and manage your financial well-being to help plan for your future. For instance:\nCiti provides programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.\nWe believe all parents deserve time to adjust to parenthood and bond with the newest members of their families. That’s why in early 2020 we began rolling out our expanded Paid Parental Leave Policy to include Citi employees around the world.\nWe empower our employees to manage their financial well-being and help them plan for the future.\nCiti provides access to an array of learning and development resources to help broaden and deepen your skills and knowledge as your career progresses.\nWe have a variety of programs that help employees balance their work and life, including generous paid time off packages.\nWe offer our employees resources and tools to volunteer in the communities in which they live and work. In 2019, Citi employee volunteers contributed more than 1 million volunteer hours around the world.\nThe Physical Risk Model Developer will be part of the Climate Risk Analytics team within Credit, Climate and Obligor Risk Analytics (CORA) in the Data, Analytics, Reporting, and Technology (DART) organization. This role develops quantitative models and methodologies to assess the impact of physical climate and nature-related risks across Citi's portfolios and operations. The role requires strong domain expertise of climate/catastrophe modeling and regulatory policies, leveraging quantitative modeling, geospatial analytics, and data science to support risk identification, scenario analysis, stress testing, and risk management across a multidisciplinary environment.\nIn this role, you’re expected to :\nDevelop and implement quantitative models assessing physical climate and nature-related risks, including hazard, exposure, vulnerability, and financial/credit impacts across portfolios, sectors, and geographies.\nBuild geospatial analytical pipelines to evaluate acute and chronic physical hazards using complex climate, environmental, and asset-level datasets.\nTranslate scientific, environmental, and physical risk drivers into financial metrics for stress testing, scenario analysis, and portfolio analytics.\nLeverage big data and machine learning techniques to solve complex data science challenges and deliver deployable analytical solutions.\nEvaluate and integrate external climate, hazard, geospatial, and nature-related datasets/models with internal risk and portfolio data.\nPartner with external vendors and internal First Line (1LOD) and Second Line of Defense (2LOD) on the sourcing of hazard, exposure, and vulnerability data, and on the design of climate risk assessment features.\nWrite production-grade analytical code and support model implementation in controlled technology environments.\nPerform model testing, sensitivity analysis, benchmarking, and quantitative assessments to evaluate model performance and limitations.\nAuthor technical documentation for model governance, validation (MRM), and regulatory requirements.\nCollaborate across Risk, Technology, Model Risk Management, and business sponsors, presenting analytical findings and model performance clearly to both technical and non-technical audiences.\nAs a successful candidate, you’d ideally have the following skills and exposure:\n6-10+ years of relevant experience in quantitative modeling, data science, climate risk, catastrophe (CAT) modeling, or environmental risk analytics.\nAdvanced degree (MS or PhD) in a quantitative discipline: Hydrology/Meteorology, Climate Science, Environmental or Life Sciences, Statistics, Physics, Engineering, Mathematics, or other natural hazard related disciplines is required.\nIn-depth knowledge of industry and academic climate and CAT modeling methodologies, vendor/public weather and hazard models, and climate data sources.\nProven expertise in physical climate risk, natural hazard modeling, nature risk, or geospatial analytics.\nProfessional experience in statistical modeling, Bayesian inference, spatial statistics, or machine learning methodologies.\nExpertise in programming, data modeling, and data management, with strong proficiency in Python, SQL, and Unix/Linux environments.\nStrong technical documentation skills with proven experience preparing quantitative methodologies for model validation and governance.\nExcellent communication and presentation skills, with demonstrated ability to translate complex model design, assumptions, and performance metrics to both technical and non-technical stakeholders.\nEducation:\nAdvanced degree (MS or PhD) in a quantitative discipline: Hydrology/Meteorology, Climate Science, Environmental or Life Sciences, Statistics, Physics, Engineering, Mathematics, or other natural hazard related disciplines is required.\nBachelor's/University degree, master’s degree preferred\nWorking at Citi is far more than just a job. A career with us means joining a family of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.\nTake the next step in your career, apply for this role at Citi today\nhttps://jobs.citi.com/dei\n------------------------------------------------------\nJob Family Group:\nRisk Management------------------------------------------------------\nJob Family:\nModel Development and Analytics------------------------------------------------------\nTime Type:\nFull time------------------------------------------------------\nMost Relevant Skills\nAnalytical Thinking, Credible Challenge, Data Analysis, Governance, Policy, Procedure, and Regulation, Risk Management Lifecycle.------------------------------------------------------\nOther Relevant Skills\nFor complementary skills, please see above and/or contact the recruiter.------------------------------------------------------\nCiti is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.\nIf you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.\nView Citi’s EEO Policy Statement and the Know Your Rights poster.","description_format":"text","description_chars":7152,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Parental leave"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Wealth Management & Financial Advisors","Payment Processing & Gateways","Consumer Loans & Pawnshops"],"lifecycle":[{"event":"open","at":"2026-10-10T12:39:15Z"}],"visa":[],"liveness":{"score":45,"band":"ok","label":"Likely open","p_open":1,"p_active":0.817,"p_room":0.55,"age_days":12,"expected_fill_days":10,"reasons":["conf:0","velocity","win:tail","comp:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/citi-physical-climate-risk-model-developer-vice-president","json_url":"https://alion.io/job/citi-physical-climate-risk-model-developer-vice-president.json","meta":{"generated_at":"2026-10-21T14:09:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":20205,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7841},"rest":"https://alion.io/mcp/rest/get_company?id=7841"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fciti-physical-climate-risk-model-developer-vice-president"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fciti-physical-climate-risk-model-developer-vice-president"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fciti-physical-climate-risk-model-developer-vice-president"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/citi-physical-climate-risk-model-developer-vice-president\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fciti-physical-climate-risk-model-developer-vice-president"}]}