Home › Companies › Fa Ewmy Saasfaprod1 Fa Ocs Oraclecloud Com Cx 1 › Senior Research Engineer - II
Senior Research Engineer - II
Fa Ewmy Saasfaprod1 Fa Ocs Oraclecloud Com Cx 1 · Hyderabad-Madhapur, Hyderabad, Telangana, IN · Hybrid · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Ewmy Saasfaprod1 Fa Ocs Oraclecloud Com Cx 1 |
| Title | Senior Research Engineer - II |
| Normalized title | - |
| Department / team | Data Science and Business Intelligence |
| Location | Telangana, IN, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-02-27 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Ewmy Saasfaprod1 Fa Ocs Oraclecloud Com Cx 1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Telangana. | Open |
| Department jobs | Active postings in Data Science and Business Intelligence. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Ewmy Saasfaprod1 Fa Ocs Oraclecloud Com Cx 1 |
| Source | 9cb4e1d4-7adc-40f1-8607-71cf3ca7a1ea |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
As a Senior Research Engineer, you will design and develop large-scale probabilistic flood hazard models, working at the intersection of hydrology, hydraulics, climate science, and software engineering. You will collaborate with meteorologists, climate scientists, statisticians, actuaries, and software engineers to deliver cutting-edge flood risk assessment solutions.
Your contributions will directly support decision-making for insurers managing flood risk portfolios across multiple geographies.
Responsibilities
Design, develop, and enhance probabilistic hydrologic and hydraulic model components
Implement stochastic and catchment hydrology frameworks within Monte Carlo simulations
Develop large-scale flood hazard maps using geomorphological and terrain analysis principles
Apply computational hydrodynamics techniques, including numerical solutions of PDEs
Analyze and integrate hydrological, geophysical, and climate data from diverse sources
Contribute to climate change analytics and scenario modeling
Collaborate cross-functionally with scientists, engineers, and actuaries
Debug and improve modeling code (C++ / C#) within development environments
Document research findings and contribute to technical reports and publications
Qualifications
Education:
Master’s or PhD in Water Resources Engineering, Hydrology, Hydraulics, or a related field
Experience:
4+ years of relevant industry or research experience
Technical Skills:
Strong fundamentals in stochastic hydrology, catchment hydrology, and open channel flow
Experience with probabilistic modeling frameworks (Monte Carlo simulations)
Knowledge of computational hydrodynamics and numerical PDE solving
Experience in climate change analytics
Hands-on experience with Machine Learning techniques
Advanced proficiency in R, Python, SQL, or MATLAB
Experience working with GIS tools (preferably ArcGIS)
Experience debugging C++/C# in Visual Studio
Professional Skills:
Ability to analyze complex datasets critically
Strong problem-solving and independent working ability
Effective communication, presentation, and report-writing skills
Ability to manage multiple priorities in a dynamic team environment
Company
Our People, Our Culture
For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.
Our Culture : Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.
Awards & Recognition : See why Verisk is consistently recognized as a Great Place to Work™ around the world.
Our Businesses : Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.
Life at Verisk : Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments.
Careers at Verisk : Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture
Let’s build something meaningful together!
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
https://www.verisk.com/company/careers/
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Verisk Employee Privacy Notice
Full job record
| Job ID | 876fe78ecd73a94eb9f09b13758f2e17dfc3747c |
| Org ID | ef4e6582-3ec3-4844-91ac-45b5f4967882 |
| Source ID | 9cb4e1d4-7adc-40f1-8607-71cf3ca7a1ea |
| Board ID | 9cb4e1d4-7adc-40f1-8607-71cf3ca7a1ea |
| Provider | oracle_hcm |
| Provider Job Key | 3340 |
| Title | Senior Research Engineer - II |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Hyderabad-Madhapur, Hyderabad, Telangana, IN |
| Department | Data Science and Business Intelligence |
| Team | — |
| Employment Type | full_time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | IN |
| City | Telangana |
| Salary Raw | Description As a Senior Research Engineer, you will design and develop large-scale probabilistic flood hazard models, working at the intersection of hydrology, hydraulics, climate science, and software engineering. You will collaborate with meteorologists, climate scientists, statisticians, actuaries, and software engineers to deliver cutting-edge flood risk assessment solutions. Your contributions will directly support decision-making for insurers managing flood risk portfolios across multiple geographies. Responsibilities Design, develop, and enhance probabilistic hydrologic and hydraulic model components Implement stochastic and catchment hydrology frameworks within Monte Carlo simulations Develop large-scale flood hazard maps using geomorphological and terrain analysis principles Apply computational hydrodynamics techniques, including numerical solutions of PDEs Analyze and integrate hydrological, geophysical, and climate data from diverse sources Contribute to climate change analytics and scenario modeling Collaborate cross-functionally with scientists, engineers, and actuaries Debug and improve modeling code (C++ / C#) within development environments Document research findings and contribute to technical reports and publications Qualifications Education: Master’s or PhD in Water Resources Engineering, Hydrology, Hydraulics, or a related field Experience: 4+ years of relevant industry or research experience Technical Skills: Strong fundamentals in stochastic hydrology, catchment hydrology, and open channel flow Experience with probabilistic modeling frameworks (Monte Carlo simulations) Knowledge of computational hydrodynamics and numerical PDE solving Experience in climate change analytics Hands-on experience with Machine Learning techniques Advanced proficiency in R, Python, SQL, or MATLAB Experience working with GIS tools (preferably ArcGIS) Experience debugging C++/C# in Visual Studio Professional Skills: Ability to analyze complex datasets critically Strong problem-solving and independent working ability Effective communication, presentation, and report-writing skills Ability to manage multiple priorities in a dynamic team environment Company Our People, Our Culture For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry. For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture. Our Culture : Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging. Awards & Recognition : See why Verisk is consistently recognized as a Great Place to Work™ around the world. Our Businesses : Learn about the diverse industries we serve — from insurance and energy to financial services and beyond. Life at Verisk : Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments. Careers at Verisk : Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture Let’s build something meaningful together! Verisk Analytics is an equal opportunity employer. All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law. https://www.verisk.com/company/careers/ Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Verisk Employee Privacy Notice |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://fa-ewmy-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_1/job/3340 |
| Apply URL | https://fa-ewmy-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/cx_1/job/3340 |
| First Seen At | 2026-05-31 18:04:34Z |
| Last Seen At | 2026-06-06 11:42:22Z |
| Last Checked At | 2026-06-06 11:42:22Z |
| Last Changed At | 2026-05-31 18:04:34Z |
| Inactive At | — |
| Source Posted At | 2026-02-27 09:46:01Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-ewmy-saasfaprod1.fa.ocs.oraclecloud.com|cx_1/date=2026-06-06/2026-06-06T11-42-14-185Z-4be5b121079ead072e436cf75148b60c67845e0144fcf4e23d914a075df0cb2d.json |
Event Fields
{
"content_hash": "3afc546df4527855d2ac217e93aaf5a361a614698f79c76194b92f99dd5b10d4",
"source_hash": "1885563b2eed11a5b600b49dba5af139a72c8ac277912ff45b3a49c5fcfdcaa8",
"last_changed_at": "2026-05-31T18:04:34.953Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Hyderabad-Madhapur, Hyderabad, Telangana, IN",
"city": "Telangana",
"region": "IN",
"country": "United States",
"is_remote": false,
"confidence": 0.9
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T11:42:22.357Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Hyderabad-Madhapur, Hyderabad, Telangana, IN",
"city": "Telangana",
"region": "IN",
"country": "United States",
"is_remote": false,
"confidence": 0.9
},
"countries": [
"United States"
]
},
"remote_policy": "hybrid",
"salary_period": null,
"workplace_type": "hybrid",
"salary_currency": null
}Extensions
{}Native Structured
{
"detail": {
"Id": "3340",
"Title": "Senior Research Engineer - II",
"media": [],
"skills": [],
"JobType": null,
"Category": "Data Science and Business Intelligence",
"JobGrade": null,
"JobLevel": null,
"JobShift": null,
"WorkDays": null,
"WorkHours": null,
"WorkYears": null,
"Department": null,
"HotJobFlag": false,
"StudyLevel": null,
"WorkMonths": null,
"WorkerType": null,
"GeographyId": 100000020207389,
"JobFamilyId": 300000007039350,
"JobFunction": null,
"JobSchedule": "Full time",
"BusinessUnit": null,
"ContractType": null,
"Organization": null,
"TrendingFlag": false,
"workLocation": [
{
"Country": "IN",
"Region1": null,
"Region2": "Telangana",
"Region3": null,
"Building": null,
"Latitude": "17.44744",
"Longitude": "78.38366",
"LocationId": 300000012294325,
"PostalCode": "500081",
"TownOrCity": "Hyderabad",
"AddressLine1": "14th Floor, Building No 9, Raheja Mindspace",
"AddressLine2": "Hi Tech City, Madhapur",
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "Hyderabad-Madhapur"
}
],
"ContentLocale": "en",
"HiringManager": null,
"LegalEmployer": null,
"RequisitionId": 300000370873033,
"WorkplaceType": "Hybrid",
"BusinessUnitId": 300000007066089,
"OrganizationId": 1,
"GeographyNodeId": 100001222440303,
"JobFunctionCode": null,
"LegalEmployerId": 300000006831438,
"PrimaryLocation": "Hyderabad, Telangana, India",
"RequisitionType": "Experienced",
"NumberOfOpenings": null,
"WorkplaceTypeCode": "ORA_HYBRID",
"BeFirstToApplyFlag": false,
"otherWorkLocations": [],
"secondaryLocations": [],
"ExternalContactName": null,
"ShortDescriptionStr": "As a Senior Research Engineer, you will design and develop large-scale probabilistic flood hazard models, working at the intersection of hydrology, hydraulics, climate science, and software engineering. You will collaborate with meteorologists, climate scientists, statisticians, actuaries, and software engineers to deliver cutting-edge flood risk assessment solutions.\n\nYour contributions will directly support decision-making for insurers managing flood risk portfolios across multiple geographies.",
"ExternalContactEmail": null,
"ExternalPostedEndDate": null,
"OtherRequisitionTitle": null,
"requisitionFlexFields": [],
"ApplyWhenNotPostedFlag": false,
"DomesticTravelRequired": null,
"ExternalDescriptionStr": "<p data-start=\"977\" data-end=\"1347\">As a Senior Research Engineer, you will design and develop large-scale probabilistic flood hazard models, working at the intersection of hydrology, hydraulics, climate science, and software engineering. You will collaborate with meteorologists, climate scientists, statisticians, actuaries, and software engineers to deliver cutting-edge flood risk assessment solutions.</p><p data-start=\"1349\" data-end=\"1478\">Your contributions will directly support decision-making for insurers managing flood risk portfolios across multiple geographies.</p>",
"ObjectVerNumberProfile": null,
"PrimaryLocationCountry": "IN",
"CorporateDescriptionStr": "<p><b>Our People, Our Culture</b></p>\n<p>For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. <a href=\"https://www.verisk.com/company/about/\" target=\"_blank\" rel=\"nofollow\">Learn more about Verisk</a> and what we are doing within the insurance industry. </p>\n<p>For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture. </p>\n<p><a href=\"https://www.verisk.com/company/csr/social/our-culture/\" target=\"_blank\" rel=\"nofollow\"><b>Our Culture</b></a>: Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.</p>\n<p><a href=\"https://www.verisk.com/company/newsroom/topics/culture/\" target=\"_blank\" rel=\"nofollow\"><b>Awards & Recognition</b></a>: See why Verisk is consistently recognized as a Great Place to Work™ around the world.</p>\n<p><a href=\"https://www.verisk.com/solutions/\" target=\"_blank\" rel=\"nofollow\"><b>Our Businesses</b></a>: Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.</p>\n<p><a href=\"https://www.linkedin.com/company/verisk-analytics/life\" target=\"_blank\" rel=\"nofollow\"><b>Life at Verisk</b></a>: Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments.</p>\n<p><a href=\"https://www.verisk.com/company/careers/\" target=\"_blank\" rel=\"nofollow\"><b>Careers at Verisk</b></a>: Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture</p>\n<p>Let’s build something meaningful together!</p>\n<p>Verisk Analytics is an equal opportunity employer.</p>\n<p>All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.</p>\n<p><a href=\"https://www.verisk.com/company/careers/\" target=\"_blank\" rel=\"nofollow\">https://www.verisk.com/company/careers/</a></p>\n<p>Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.</p>\n<p><a href=\"https://www.verisk.com/49041b/siteassets/media/downloads/verisk-global-employee-privacy-notice.pdf\" target=\"_blank\" rel=\"nofollow\">Verisk Employee Privacy Notice</a></p>",
"ExternalPostedStartDate": "2026-02-27T09:46:01+00:00",
"ExternalQualificationsStr": "<p data-start=\"2311\" data-end=\"2327\"><strong>Education:</strong></p><ul data-start=\"2328\" data-end=\"2421\"><li data-start=\"2328\" data-end=\"2421\"><p data-start=\"2330\" data-end=\"2421\">Master’s or PhD in Water Resources Engineering, Hydrology, Hydraulics, or a related field</p></li></ul><p data-start=\"2330\" data-end=\"2421\"> </p><p data-start=\"2423\" data-end=\"2440\"><strong>Experience:</strong></p><ul data-start=\"2441\" data-end=\"2497\"><li data-start=\"2441\" data-end=\"2497\"><p data-start=\"2443\" data-end=\"2497\">4+ years of relevant industry or research experience</p></li></ul><p data-start=\"2499\" data-end=\"2522\"> </p><p data-start=\"2499\" data-end=\"2522\"><strong>Technical Skills:</strong></p><ul data-start=\"2523\" data-end=\"3026\"><li data-start=\"2523\" data-end=\"2614\"><p data-start=\"2525\" data-end=\"2614\">Strong fundamentals in stochastic hydrology, catchment hydrology, and open channel flow</p></li><li data-start=\"2615\" data-end=\"2694\"><p data-start=\"2617\" data-end=\"2694\">Experience with probabilistic modeling frameworks (Monte Carlo simulations)</p></li><li data-start=\"2695\" data-end=\"2765\"><p data-start=\"2697\" data-end=\"2765\">Knowledge of computational hydrodynamics and numerical PDE solving</p></li><li data-start=\"2766\" data-end=\"2808\"><p data-start=\"2768\" data-end=\"2808\">Experience in climate change analytics</p></li><li data-start=\"2809\" data-end=\"2865\"><p data-start=\"2811\" data-end=\"2865\">Hands-on experience with Machine Learning techniques</p></li><li data-start=\"2866\" data-end=\"2919\"><p data-start=\"2868\" data-end=\"2919\">Advanced proficiency in R, Python, SQL, or MATLAB</p></li><li data-start=\"2920\" data-end=\"2977\"><p data-start=\"2922\" data-end=\"2977\">Experience working with GIS tools (preferably ArcGIS)</p></li><li data-start=\"2978\" data-end=\"3026\"><p data-start=\"2980\" data-end=\"3026\">Experience debugging C++/C# in Visual Studio</p></li></ul><p data-start=\"3028\" data-end=\"3054\"> </p><p data-start=\"3028\" data-end=\"3054\"><strong>Professional Skills:</strong></p><ul data-start=\"3055\" data-end=\"3305\"><li data-start=\"3055\" data-end=\"3105\"><p data-start=\"3057\" data-end=\"3105\">Ability to analyze complex datasets critically</p></li><li data-start=\"3106\" data-end=\"3164\"><p data-start=\"3108\" data-end=\"3164\">Strong problem-solving and independent working ability</p></li><li data-start=\"3165\" data-end=\"3233\"><p data-start=\"3167\" data-end=\"3233\">Effective communication, presentation, and report-writing skills</p></li><li data-start=\"3234\" data-end=\"3305\"><p data-start=\"3236\" data-end=\"3305\">Ability to manage multiple priorities in a dynamic team environment</p></li></ul>",
"InternalQualificationsStr": "<p data-start=\"2311\" data-end=\"2327\"><strong>Education:</strong></p><ul data-start=\"2328\" data-end=\"2421\"><li data-start=\"2328\" data-end=\"2421\"><p data-start=\"2330\" data-end=\"2421\">Master’s or PhD in Water Resources Engineering, Hydrology, Hydraulics, or a related field</p></li></ul><p data-start=\"2330\" data-end=\"2421\"> </p><p data-start=\"2423\" data-end=\"2440\"><strong>Experience:</strong></p><ul data-start=\"2441\" data-end=\"2497\"><li data-start=\"2441\" data-end=\"2497\"><p data-start=\"2443\" data-end=\"2497\">4+ years of relevant industry or research experience</p></li></ul><p data-start=\"2499\" data-end=\"2522\"> </p><p data-start=\"2499\" data-end=\"2522\"><strong>Technical Skills:</strong></p><ul data-start=\"2523\" data-end=\"3026\"><li data-start=\"2523\" data-end=\"2614\"><p data-start=\"2525\" data-end=\"2614\">Strong fundamentals in stochastic hydrology, catchment hydrology, and open channel flow</p></li><li data-start=\"2615\" data-end=\"2694\"><p data-start=\"2617\" data-end=\"2694\">Experience with probabilistic modeling frameworks (Monte Carlo simulations)</p></li><li data-start=\"2695\" data-end=\"2765\"><p data-start=\"2697\" data-end=\"2765\">Knowledge of computational hydrodynamics and numerical PDE solving</p></li><li data-start=\"2766\" data-end=\"2808\"><p data-start=\"2768\" data-end=\"2808\">Experience in climate change analytics</p></li><li data-start=\"2809\" data-end=\"2865\"><p data-start=\"2811\" data-end=\"2865\">Hands-on experience with Machine Learning techniques</p></li><li data-start=\"2866\" data-end=\"2919\"><p data-start=\"2868\" data-end=\"2919\">Advanced proficiency in R, Python, SQL, or MATLAB</p></li><li data-start=\"2920\" data-end=\"2977\"><p data-start=\"2922\" data-end=\"2977\">Experience working with GIS tools (preferably ArcGIS)</p></li><li data-start=\"2978\" data-end=\"3026\"><p data-start=\"2980\" data-end=\"3026\">Experience debugging C++/C# in Visual Studio</p></li></ul><p data-start=\"3028\" data-end=\"3054\"> </p><p data-start=\"3028\" data-end=\"3054\"><strong>Professional Skills:</strong></p><ul data-start=\"3055\" data-end=\"3305\"><li data-start=\"3055\" data-end=\"3105\"><p data-start=\"3057\" data-end=\"3105\">Ability to analyze complex datasets critically</p></li><li data-start=\"3106\" data-end=\"3164\"><p data-start=\"3108\" data-end=\"3164\">Strong problem-solving and independent working ability</p></li><li data-start=\"3165\" data-end=\"3233\"><p data-start=\"3167\" data-end=\"3233\">Effective communication, presentation, and report-writing skills</p></li><li data-start=\"3234\" data-end=\"3305\"><p data-start=\"3236\" data-end=\"3305\">Ability to manage multiple priorities in a dynamic team environment</p></li></ul>",
"OrganizationDescriptionStr": "",
"primaryLocationCoordinates": [
{
"Latitude": "17.39489",
"Longitude": "78.47073",
"CountryCode": "IN",
"GeographyId": 100000020207389,
"GeographyNodeId": 100001222440303
}
],
"ExternalResponsibilitiesStr": "<ul><li data-start=\"1513\" data-end=\"1601\"><p data-start=\"1515\" data-end=\"1601\">Design, develop, and enhance probabilistic hydrologic and hydraulic model components</p></li><li data-start=\"1602\" data-end=\"1692\"><p data-start=\"1604\" data-end=\"1692\">Implement stochastic and catchment hydrology frameworks within Monte Carlo simulations</p></li><li data-start=\"1693\" data-end=\"1789\"><p data-start=\"1695\" data-end=\"1789\">Develop large-scale flood hazard maps using geomorphological and terrain analysis principles</p></li><li data-start=\"1790\" data-end=\"1877\"><p data-start=\"1792\" data-end=\"1877\">Apply computational hydrodynamics techniques, including numerical solutions of PDEs</p></li><li data-start=\"1878\" data-end=\"1968\"><p data-start=\"1880\" data-end=\"1968\">Analyze and integrate hydrological, geophysical, and climate data from diverse sources</p></li><li data-start=\"1969\" data-end=\"2033\"><p data-start=\"1971\" data-end=\"2033\">Contribute to climate change analytics and scenario modeling</p></li><li data-start=\"2034\" data-end=\"2110\"><p data-start=\"2036\" data-end=\"2110\">Collaborate cross-functionally with scientists, engineers, and actuaries</p></li><li data-start=\"2111\" data-end=\"2189\"><p data-start=\"2113\" data-end=\"2189\">Debug and improve modeling code (C++ / C#) within development environments</p></li><li data-start=\"2190\" data-end=\"2273\"><p data-start=\"2192\" data-end=\"2273\">Document research findings and contribute to technical reports and publications</p></li></ul>",
"InternalResponsibilitiesStr": "<ul><li data-start=\"1513\" data-end=\"1601\"><p data-start=\"1515\" data-end=\"1601\">Design, develop, and enhance probabilistic hydrologic and hydraulic model components</p></li><li data-start=\"1602\" data-end=\"1692\"><p data-start=\"1604\" data-end=\"1692\">Implement stochastic and catchment hydrology frameworks within Monte Carlo simulations</p></li><li data-start=\"1693\" data-end=\"1789\"><p data-start=\"1695\" data-end=\"1789\">Develop large-scale flood hazard maps using geomorphological and terrain analysis principles</p></li><li data-start=\"1790\" data-end=\"1877\"><p data-start=\"1792\" data-end=\"1877\">Apply computational hydrodynamics techniques, including numerical solutions of PDEs</p></li><li data-start=\"1878\" data-end=\"1968\"><p data-start=\"1880\" data-end=\"1968\">Analyze and integrate hydrological, geophysical, and climate data from diverse sources</p></li><li data-start=\"1969\" data-end=\"2033\"><p data-start=\"1971\" data-end=\"2033\">Contribute to climate change analytics and scenario modeling</p></li><li data-start=\"2034\" data-end=\"2110\"><p data-start=\"2036\" data-end=\"2110\">Collaborate cross-functionally with scientists, engineers, and actuaries</p></li><li data-start=\"2111\" data-end=\"2189\"><p data-start=\"2113\" data-end=\"2189\">Debug and improve modeling code (C++ / C#) within development environments</p></li><li data-start=\"2190\" data-end=\"2273\"><p data-start=\"2192\" data-end=\"2273\">Document research findings and contribute to technical reports and publications</p></li></ul>",
"InternationalTravelRequired": null
},
"list_job": {
"Id": "3340",
"Title": "Senior Research Engineer - II",
"JobType": null,
"Distance": 1772150400000,
"JobShift": null,
"Language": "US",
"WorkDays": null,
"JobFamily": null,
"Relevancy": 2,
"WorkHours": null,
"Department": null,
"HotJobFlag": false,
"PostedDate": "2026-02-27",
"StudyLevel": null,
"WorkerType": null,
"GeographyId": 100000020207389,
"JobFunction": null,
"JobSchedule": null,
"BusinessUnit": null,
"ContractType": null,
"ManagerLevel": null,
"Organization": null,
"TrendingFlag": false,
"workLocation": [
{
"Country": "IN",
"Region1": null,
"Region2": "Telangana",
"Region3": null,
"Building": null,
"Latitude": 17.44744,
"Longitude": 78.38366,
"LocationId": 300000012294325,
"PostalCode": "500081",
"TownOrCity": "Hyderabad",
"AddressLine1": "14th Floor, Building No 9, Raheja Mindspace",
"AddressLine2": "Hi Tech City, Madhapur",
"AddressLine3": null,
"AddressLine4": null,
"LocationName": "Hyderabad-Madhapur"
}
],
"LegalEmployer": null,
"MediaThumbURL": null,
"WorkplaceType": "Hybrid",
"BusinessUnitId": 300000007066089,
"OrganizationId": 1,
"PostingEndDate": null,
"LegalEmployerId": 300000006831438,
"PrimaryLocation": "Hyderabad, Telangana, India",
"WorkDurationYears": null,
"WorkplaceTypeCode": "ORA_HYBRID",
"BeFirstToApplyFlag": false,
"WorkDurationMonths": null,
"otherWorkLocations": [],
"secondaryLocations": [],
"ShortDescriptionStr": "As a Senior Research Engineer, you will design and develop large-scale probabilistic flood hazard models, working at the intersection of hydrology, hydraulics, climate science, and software engineering. You will collaborate with meteorologists, climate scientists, statisticians, actuaries, and software engineers to deliver cutting-edge flood risk assessment solutions.\n\nYour contributions will directly support decision-making for insurers managing flood risk portfolios across multiple geographies.",
"requisitionFlexFields": [],
"DomesticTravelRequired": null,
"PrimaryLocationCountry": "IN",
"ExternalQualificationsStr": null,
"ExternalResponsibilitiesStr": null,
"InternationalTravelRequired": null
},
"detail_meta": {
"url": "https://fa-ewmy-saasfaprod1.fa.ocs.oraclecloud.com/hcmRestApi/resources/latest/recruitingCEJobRequisitionDetails?expand=all&onlyData=true&finder=ById;Id=%223340%22,siteNumber=cx_1",
"http_status": 200,
"content_type": "application/json",
"response_bytes": 16546
},
"detail_errors": []
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/876fe78ecd73a94eb9f09b13758f2e17dfc3747c?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/ef4e6582-3ec3-4844-91ac-45b5f4967882JSONGET https://api.bluedoor.sh/job-postings/v1/sources/9cb4e1d4-7adc-40f1-8607-71cf3ca7a1eaJSONGET https://api.bluedoor.sh/job-postings/v1/jobs/876fe78ecd73a94eb9f09b13758f2e17dfc3747c/eventsJSON