[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fen-de\u002Fjobs-by-expertise\u002Fbacktesting":3,"seo-content-expertise-backtesting-de":131,"expertise-filters-\u002Fen-de\u002Fjobs-by-expertise\u002Fbacktesting":160,"featured-jobs-\u002Fen-de\u002Fjobs-by-expertise\u002Fbacktesting":268},{"total":4,"jobs":5},3,[6,52,86],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":15,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":30,"processed_job_expertise_skills":36,"processed_job_expertise_skills_labels":37,"max_cpc":51,"actual_cpc":51},74610,"risk-manager-wmd-lupus-alpha-asset-management","Risk Manager (w\u002Fm\u002Fd)",null,false,{"name":13,"slug":14,"logo_url":10},"Lupus alpha Asset Management","lupus-alpha-asset-management","https:\u002F\u002Fhrworks-production-images.s3-eu-west-1.amazonaws.com\u002F13090\u002FcustomerLogo\u002FED55EA81AFB88C2E27C3.png",[17],"Frankfurt am Main",[19],"DE","onsite",60000,80000,"EUR","estimated",[26],"FULL_TIME","permanent",{"sql":4,"vba":4,"excel":4,"python":29,"ai tools":29},2,[31,32,33,34,35],"SQL","Excel","VBA","Python","AI Tools",{"backtesting":4,"derivatives":4,"project work":4,"stress testing":4,"risk management":4,"risk controlling":4,"valuation methods":4,"product development":4,"financial instruments":4,"performance attribution":4,"limit monitoring\u002Fcontrol":4,"financial mathematical analysis":4,"regulatory requirements (ogaw, aifmd, kagb, esma)":4},[38,39,40,41,42,43,44,45,46,47,48,49,50],"Risk Management","Risk Controlling","Financial Instruments","Valuation Methods","Derivatives","Backtesting","Stress Testing","Financial Mathematical Analysis","Regulatory Requirements (OGAW, AIFMD, KAGB, ESMA)","Performance Attribution","Limit Monitoring\u002FControl","Product Development","Project Work",1,{"id":53,"slug":54,"title":55,"raw_title":10,"is_featured":11,"company":56,"raw_hiringOrganization_logo_url":59,"processed_city_gmaps":60,"processed_country_iso_code_gmaps":61,"processed_home_office":62,"processed_salary_min":63,"processed_salary_max":64,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":65,"processed_employment_types":67,"processed_it_skills":68,"processed_it_skills_labels":69,"processed_job_expertise_skills":74,"processed_job_expertise_skills_labels":75,"max_cpc":51,"actual_cpc":51},47050,"werkstudent-risk-steering-wmd-hyundai-capital-bank-europe-gmbh","Werkstudent Risk Steering (w\u002Fm\u002Fd)",{"name":57,"slug":58,"logo_url":10},"Hyundai Capital Bank Europe GmbH","hyundai-capital-bank-europe-gmbh","https:\u002F\u002Fassets.cdn.personio.de\u002Flogos\u002F38642\u002Fsocial\u002F101629513d0dcb93217a58e9c5278fce.png",[17],[19],"hybrid",20000,30000,[66],"PART_TIME","student",{"r":29,"sas":29,"sql":29,"excel":4,"power bi":29,"powerpoint":4},[32,70,31,71,72,73],"PowerPoint","R","SAS","Power BI",{"backtesting":4,"risk reporting":4,"vintage analysis":4,"data quality checks":4,"retail underwriting":4,"credit risk analysis":4,"pd model development":4,"performance analysis":4,"portfolio monitoring":4,"scorecard development":4,"credit policy development":29},[76,77,78,79,80,43,81,82,83,84,85],"Credit risk analysis","Retail underwriting","Scorecard development","PD model development","Portfolio monitoring","Performance analysis","Vintage analysis","Risk reporting","Data quality checks","Credit policy development",{"id":87,"slug":88,"title":89,"raw_title":10,"is_featured":11,"company":90,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":94,"processed_country_iso_code_gmaps":96,"processed_home_office":62,"processed_salary_min":97,"processed_salary_max":98,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":99,"processed_employment_types":67,"processed_it_skills":100,"processed_it_skills_labels":101,"processed_job_expertise_skills":106,"processed_job_expertise_skills_labels":108,"max_cpc":51,"actual_cpc":130},9353,"praktikant-fuer-das-pricing-aktuariat-mwd-allianz-insurance","Praktikant für das Pricing Aktuariat (m\u002Fw\u002Fd)",{"name":91,"slug":92,"logo_url":93},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[95],"Unterföhring",[19],36000,45000,[26],{"ms office":4,"data mining tools":4,"data analysis tools":4,"machine learning tools":4},[102,103,104,105],"MS Office","Data Analysis Tools","Machine Learning Tools","Data Mining Tools",{"reporting":4,"statistics":107,"backtesting":4,"data mining":107,"risk models":107,"lapse models":107,"project work":4,"underwriting":4,"data analysis":107,"data modeling":107,"pricing tools":4,"data collection":4,"impact analysis":4,"data preparation":4,"machine learning":107,"technical pricing":107,"actuarial analysis":107,"product development":4,"process optimization":4,"actuarial methodology":107,"financial mathematics":4,"insurance mathematics":4,"strategic initiatives":4,"stochastic forecasting models":107},4,[109,110,111,112,113,114,115,116,117,118,119,120,50,121,49,122,123,124,125,126,127,43,128,129],"Stochastic Forecasting Models","Risk Models","Lapse Models","Technical Pricing","Data Analysis","Data Modeling","Machine Learning","Statistics","Data Mining","Actuarial Methodology","Data Collection","Process Optimization","Strategic Initiatives","Impact Analysis","Pricing Tools","Underwriting","Actuarial Analysis","Reporting","Data Preparation","Financial Mathematics","Insurance Mathematics",0.8,{"image_path":10,"content_de":132,"content_en":145,"composite_key":158,"last_updated":159},{"tab1":133,"tab2":136,"tab3":139,"tab4":142},{"title":134,"content":135},"Bedeutung & Relevanz","Backtesting ist eine unverzichtbare Disziplin im modernen Finanzwesen, insbesondere in Deutschland, wo Präzision und Risikokontrolle höchste Priorität haben. Es ermöglicht Finanzanalysten, Handelsstrategien anhand historischer Daten zu validieren, bevor sie in Live-Umgebungen eingesetzt werden. Diese Methodik reduziert Unsicherheiten und unterstützt fundierte Entscheidungen in Bereichen wie Risikomanagement, Portfoliosteuerung und algorithmischem Handel.\n\nIn Deutschland gewinnt Backtesting zunehmend an Bedeutung, da Finanzinstitute regulatorischen Anforderungen wie MiFID II und Basel III gerecht werden müssen. Die Fähigkeit, Modelle robust zu testen, ist ein entscheidender Wettbewerbsvorteil. Fachkräfte mit Expertise in Backtesting sind daher stark nachgefragt, insbesondere wenn sie zusätzlich Kenntnisse in [Project Work](\u002Fde-de\u002Fjobs-by-expertise\u002Fproject-work), [Product Development](\u002Fde-de\u002Fjobs-by-expertise\u002Fproduct-development), [Risk Reporting](\u002Fde-de\u002Fjobs-by-expertise\u002Frisk-reporting) mitbringen. Diese Kombination aus quantitativen Methoden und betriebswirtschaftlichem Verständnis macht Kandidaten besonders wertvoll für Arbeitgeber.\n\nDie Nachfrage spiegelt sich in der aktuellen Marktsituation wider: 3 offene Positionen in Deutschland unterstreichen den Bedarf an Spezialisten, die Backtesting nicht nur technisch umsetzen, sondern auch strategisch interpretieren können. Wer diese Fähigkeit beherrscht, positioniert sich für eine Karriere in einem dynamischen und zukunftssicheren Umfeld.",{"title":137,"content":138},"Top-Branchen & Standorte","Backtesting-Experten in Deutschland finden Beschäftigungsmöglichkeiten in einer Vielzahl von Branchen, wobei Finanzdienstleistungen, Banken und Versicherungen die Vorreiter sind. Besonders gefragt sind Fachkräfte in [Finanzdienstleistungen](\u002Fde-de\u002Fjobs-by-industry\u002Ffinancial-services), [Versicherung](\u002Fde-de\u002Fjobs-by-industry\u002Finsurance), [Vermögensverwaltung](\u002Fde-de\u002Fjobs-by-industry\u002Fasset-management), da diese Sektoren stark auf datengetriebene Entscheidungen und Risikomodellierung angewiesen sind. Auch Finanztechnologie-Unternehmen und Asset-Management-Firmen setzen zunehmend auf Backtesting, um innovative Produkte zu entwickeln und Anlagestrategien zu optimieren.\n\nGeografisch konzentrieren sich die meisten Stellenangebote auf [Frankfurt am Main](\u002Fde-de\u002Fjobs-in-frankfurt-am-main), [Unterföhring](\u002Fde-de\u002Fjobs-in-unterfoehring), wo sich die wichtigsten Finanzzentren und Unternehmenssitze befinden. Diese Städte bieten nicht nur eine hohe Dichte an potenziellen Arbeitgebern, sondern auch ein lebendiges Netzwerk für berufliche Weiterentwicklung. Für Bewerber ist es daher strategisch sinnvoll, sich auf diese Regionen zu fokussieren, um die besten Karrierechancen zu nutzen.\n\nDarüber hinaus zeigt sich, dass Backtesting-Kompetenzen auch in angrenzenden Bereichen wie der Automobilfinanzierung oder dem Flottenmanagement gefragt sind, wo Risikobewertung und Datenanalyse eine wachsende Rolle spielen. Die Vielfalt der Branchen eröffnet Fachkräften zahlreiche Wege, ihre Fähigkeiten einzusetzen und sich beruflich zu spezialisieren.",{"title":140,"content":141},"Gefragte Skills & Arbeitgeber","Für eine erfolgreiche Karriere im Backtesting sind sowohl technische als auch analytische Fähigkeiten entscheidend. Zu den gefragtesten Kompetenzen gehören [Sql](\u002Fde-de\u002Fjobs-by-skill\u002Fsql), [Excel](\u002Fde-de\u002Fjobs-by-skill\u002Fexcel), [R](\u002Fde-de\u002Fjobs-by-skill\u002Fr), die es ermöglichen, große Datenmengen zu verarbeiten, Modelle zu implementieren und Ergebnisse zu visualisieren. Darüber hinaus sind Kenntnisse in Statistik, Finanzmathematik und Programmierung unerlässlich, um robuste Backtesting-Frameworks zu entwickeln.\n\nArbeitgeber, die Backtesting-Spezialisten suchen, sind häufig führende Unternehmen in der Finanzbranche. Dazu zählen [Hyundai Capital Bank Europe GmbH](\u002Fde-de\u002Fcompany\u002Fhyundai-capital-bank-europe-gmbh), [Allianz Insurance](\u002Fde-de\u002Fcompany\u002Fallianz-insurance), [Lupus alpha Asset Management](\u002Fde-de\u002Fcompany\u002Flupus-alpha-asset-management), die für ihre innovativen Ansätze und ihre starke Marktposition bekannt sind. Diese Organisationen bieten nicht nur attraktive Vergütungspakete, sondern auch ein Umfeld, das kontinuierliches Lernen und berufliche Entwicklung fördert.\n\nNeben den technischen Fähigkeiten schätzen Arbeitgeber auch Soft Skills wie Problemlösungskompetenz, Kommunikationsstärke und ein tiefes Verständnis für regulatorische Anforderungen. Die Kombination aus [Sql](\u002Fde-de\u002Fjobs-by-skill\u002Fsql), [Excel](\u002Fde-de\u002Fjobs-by-skill\u002Fexcel), [R](\u002Fde-de\u002Fjobs-by-skill\u002Fr) und Fachwissen in [Project Work](\u002Fde-de\u002Fjobs-by-expertise\u002Fproject-work), [Product Development](\u002Fde-de\u002Fjobs-by-expertise\u002Fproduct-development), [Risk Reporting](\u002Fde-de\u002Fjobs-by-expertise\u002Frisk-reporting) macht Kandidaten besonders attraktiv für Positionen, die sowohl quantitative als auch strategische Verantwortung umfassen. Wer diese Fähigkeiten mitbringt, hat hervorragende Aussichten auf dem deutschen Arbeitsmarkt.",{"title":143,"content":144},"Karrierepfad & Gehalt","Eine Karriere im Backtesting bietet in Deutschland attraktive Verdienstmöglichkeiten und klare Aufstiegschancen. Das Gehalt variiert je nach Erfahrung, Qualifikation und Unternehmensgröße. Der Median liegt bei €45k, wobei die Gehaltsspanne zwischen €38k – €62k liegt. Berufseinsteiger können mit einem Einstiegsgehalt von €20k rechnen, während erfahrene Spezialisten bis zu €80k verdienen können.\n\nDie Nachfrage nach Backtesting-Experten ist hoch, was sich in der Anzahl offener Stellen widerspiegelt: 3 Positionen sind derzeit in Deutschland ausgeschrieben. Dies bietet Fachkräften eine ausgezeichnete Verhandlungsposition und vielfältige Optionen, um den nächsten Karriereschritt zu planen.\n\nTypische Karrierepfade führen vom Junior-Analysten über den Senior-Quant-Analysten bis hin zum Head of Quantitative Research oder Risikomanager. Mit zunehmender Erfahrung und Spezialisierung steigen nicht nur die Gehälter, sondern auch die Verantwortung für die Entwicklung und Umsetzung komplexer Strategien. Wer sich kontinuierlich weiterbildet und neue Technologien beherrscht, kann langfristig eine führende Rolle in diesem dynamischen Feld einnehmen.",{"tab1":146,"tab2":149,"tab3":152,"tab4":155},{"title":147,"content":148},"Strategic Importance","Backtesting is a cornerstone of modern quantitative finance, enabling firms to validate trading strategies against historical data before deployment. In Deutschland, where financial services are deeply rooted in precision and risk management, backtesting has become indispensable for asset managers, banks, and fintech startups alike. It bridges the gap between theoretical models and real-world performance, reducing the likelihood of costly errors. Professionals skilled in backtesting are increasingly sought after, as they contribute to robust decision-making and regulatory compliance. The demand for such expertise is reflected in the current job market, with 3 open positions highlighting its strategic value. Moreover, backtesting often intersects with other critical areas like [Project Work](\u002Fen-de\u002Fjobs-by-expertise\u002Fproject-work), [Product Development](\u002Fen-de\u002Fjobs-by-expertise\u002Fproduct-development), [Risk Reporting](\u002Fen-de\u002Fjobs-by-expertise\u002Frisk-reporting), making it a versatile skill that enhances career prospects. As financial markets evolve, the ability to rigorously test hypotheses and adapt strategies will remain a key differentiator for both individuals and organizations.",{"title":150,"content":151},"Top Industries & Locations","Backtesting roles in Deutschland are concentrated in financial hubs and across diverse industries. Leading locations include [Frankfurt am Main](\u002Fen-de\u002Fjobs-in-frankfurt-am-main), [Unterföhring](\u002Fen-de\u002Fjobs-in-unterfoehring), where major banks, asset managers, and fintech firms cluster, offering ample opportunities for specialists. The demand spans across [Financial Services](\u002Fen-de\u002Fjobs-by-industry\u002Ffinancial-services), [Insurance](\u002Fen-de\u002Fjobs-by-industry\u002Finsurance), [Asset Management](\u002Fen-de\u002Fjobs-by-industry\u002Fasset-management), with banking and financial services at the forefront, followed by insurance and asset management. These sectors rely heavily on backtesting to optimize portfolios, manage risk, and ensure compliance. Additionally, the rise of financial technology has expanded the scope of backtesting into algorithmic trading and robo-advisory, creating new avenues for professionals. Whether in established financial centers or emerging tech-driven hubs, the need for backtesting expertise is robust. For job seekers, targeting these locations and industries can significantly enhance career mobility and access to cutting-edge projects.",{"title":153,"content":154},"In-Demand Skills & Employers","To excel in backtesting roles, professionals must combine financial acumen with technical proficiency. Key skills include [Sql](\u002Fen-de\u002Fjobs-by-skill\u002Fsql), [Excel](\u002Fen-de\u002Fjobs-by-skill\u002Fexcel), [R](\u002Fen-de\u002Fjobs-by-skill\u002Fr), which are essential for data manipulation, statistical analysis, and model implementation. Employers in Deutschland, such as [Hyundai Capital Bank Europe GmbH](\u002Fen-de\u002Fcompany\u002Fhyundai-capital-bank-europe-gmbh), [Allianz Insurance](\u002Fen-de\u002Fcompany\u002Fallianz-insurance), [Lupus alpha Asset Management](\u002Fen-de\u002Fcompany\u002Flupus-alpha-asset-management), prioritize candidates who can not only design backtesting frameworks but also interpret results and communicate insights effectively. Beyond technical skills, a strong grasp of risk management and data analysis is crucial, as backtesting directly informs trading decisions and risk mitigation strategies. The competitive landscape means that continuous learning and adaptability are vital. Professionals who master these skills can position themselves as valuable assets in a market where data-driven decision-making is paramount. With the right skill set, opportunities abound across leading financial institutions and innovative fintech ventures.",{"title":156,"content":157},"Career Path & Salary","A career in backtesting offers a clear progression path, from junior analyst to senior quant or risk manager. In Deutschland, the compensation reflects the specialized nature of the role. The median salary for backtesting professionals is €45k, with a typical range of €38k – €62k between the 25th and 75th percentiles. Entry-level positions start around €20k, while experienced experts can earn up to €80k. Currently, there are 3 open positions, indicating a healthy demand. Career advancement often involves moving into leadership roles, where strategic oversight and cross-functional collaboration become key. Additionally, expertise in backtesting can open doors to adjacent fields like algorithmic trading or quantitative research, further boosting earning potential. For those willing to invest in continuous skill development, the financial rewards and career satisfaction are substantial.","expertise:backtesting:de","2026-08-17T18:23:27.372536+02:00",{"industry":161,"employment_type":171,"expertise_skills":176,"it_skills":230,"salary_currency":263,"processed_working_hours":265},[162,165,168],{"key":163,"label":164,"count":51},"asset management","Asset Management",{"key":166,"label":167,"count":51},"financial services","Financial Services",{"key":169,"label":170,"count":51},"insurance","Insurance",[172,174],{"key":67,"label":173,"count":29},"STUDENT",{"key":27,"label":175,"count":51},"PERMANENT",[177,179,181,183,186,188,190,192,194,196,199,201,203,205,207,209,211,213,215,217,220,223,225,228],{"key":178,"label":43,"slug":178,"count":4},"backtesting",{"key":180,"label":49,"slug":180,"count":29},"product-development",{"key":182,"label":50,"slug":182,"count":29},"project-work",{"key":184,"label":185,"slug":184,"count":51},"credit-risk-analysis","Credit Risk Analysis",{"key":187,"label":113,"slug":187,"count":51},"data-analysis",{"key":189,"label":119,"slug":189,"count":51},"data-collection",{"key":191,"label":117,"slug":191,"count":51},"data-mining",{"key":193,"label":114,"slug":193,"count":51},"data-modeling",{"key":195,"label":127,"slug":195,"count":51},"data-preparation",{"key":197,"label":198,"slug":197,"count":51},"data-quality-checks","Data Quality Checks",{"key":200,"label":42,"slug":200,"count":51},"derivatives",{"key":202,"label":40,"slug":202,"count":51},"financial-instruments",{"key":204,"label":45,"slug":204,"count":51},"financial-mathematical-analysis",{"key":206,"label":128,"slug":206,"count":51},"financial-mathematics",{"key":208,"label":122,"slug":208,"count":51},"impact-analysis",{"key":210,"label":129,"slug":210,"count":51},"insurance-mathematics",{"key":212,"label":111,"slug":212,"count":51},"lapse-models",{"key":214,"label":48,"slug":214,"count":51},"limit-monitoringcontrol",{"key":216,"label":115,"slug":216,"count":51},"machine-learning",{"key":218,"label":219,"slug":218,"count":51},"pd-model-development","Pd Model Development",{"key":221,"label":222,"slug":221,"count":51},"performance-analysis","Performance Analysis",{"key":224,"label":47,"slug":224,"count":51},"performance-attribution",{"key":226,"label":227,"slug":226,"count":51},"portfolio-monitoring","Portfolio Monitoring",{"key":229,"label":123,"slug":229,"count":51},"pricing-tools",[231,233,236,238,240,242,245,248,250,252,255,258,261],{"key":232,"label":31,"slug":232,"count":29},"sql",{"key":234,"label":235,"slug":234,"count":29},"ms-excel","MS Excel",{"key":237,"label":105,"slug":237,"count":51},"data-mining-tools",{"key":239,"label":104,"slug":239,"count":51},"machine-learning-tools",{"key":241,"label":102,"slug":241,"count":51},"ms-office",{"key":243,"label":244,"slug":243,"count":51},"ms-powerbi","MS PowerBI",{"key":246,"label":247,"slug":246,"count":51},"ms-powerpoint","MS PowerPoint",{"key":249,"label":34,"slug":249,"count":51},"python",{"key":251,"label":71,"slug":251,"count":51},"r",{"key":253,"label":254,"slug":253,"count":51},"sas","Sas",{"key":256,"label":257,"slug":256,"count":51},"ai-tools","Ai Tools",{"key":259,"label":260,"slug":259,"count":51},"vba","Vba",{"key":262,"label":103,"slug":262,"count":51},"data-analysis-tools",[264],{"key":23,"label":23,"count":4},[266,267],{"key":26,"label":26,"count":29},{"key":66,"label":66,"count":51},{"total":269,"jobs":270},0,[]]