The Group Investment Management (GIM) division is responsible for managing the proprietary Munich Re and ERGO investment portfolio of around €230bn. Within the business unit Investment Strategies of GIM the Tactical Asset Allocation department is responsible for the tactical asset allocation (TAA) of the whole Munich Re Group. This means building a granular TAA on the basis of the long-term strategic allocation (SAA) and regularly updating it to reflect changes in the political/economic environment and movements on the capital markets. The department brings together experts in all liquid asset classes and markets. Portfolio positions in all asset classes are weighted using quantitative and qualitative methods to achieve an efficient investment portfolio. Within this challenging environment you will strengthen the team as an intern within the department “Tactical Asset Allocation“. We are looking for a candidate with strong quantitative and data analytics skills for a full-time internship of at least three months, with a longer duration preferred.
Details
Your Job
Support the investment managers in generating trading ideas and searching for investment opportunities
Research quantitative methods to analyze and predict capital markets
Implement quantitative models in Python
Enhance our quantitative capital markets analysis tools
Eligibility
Candidates should be from:
AfghanistanAlbaniaAlgeriaAndorraAngolaAntigua and BarbudaArgentinaArmeniaAustraliaAustriaAzerbaijanBahamasBahrainBangladeshBarbadosBelarusBelgiumBelizeBeninBermudaBhutanBoliviaBosnia and HerzegovinaBotswanaBrazilBruneiBulgariaBurkina FasoBurundiCambodiaCameroonCanadaCape VerdeCentral African RepublicChadChileChinaColombiaComorosCongo: Democratic RepublicCongo: RepublicCook IslandsCosta RicaCroatiaCubaCyprusCzech RepublicDenmarkDjiboutiDominicaDominican RepublicEast TimorEcuadorEgyptEl SalvadorEquatorial GuineaEritreaEstoniaEthiopiaFijiFinlandFranceGabonGambiaGeorgiaGermanyGhanaGibraltarGreeceGrenadaGuatemalaGuineaGuinea-BissauGuyanaHaitiHondurasHong KongHungaryIcelandIndiaIndonesiaIranIraqIrelandIsraelItalyIvory CoastJamaicaJapanJordanKazakhstanKenyaKiribatiKorea, NorthKorea, SouthKosovo UN1244 (*not recognized by majority of countries)KuwaitKyrgyzstanLaosLatviaLebanonLesothoLiberiaLibyaLiechtensteinLithuaniaLuxembourgMacauNorth MacedoniaMadagascarMalawiMalaysiaMaldivesMaliMaltaMarshall IslandsMauritaniaMauritiusMexicoMicronesiaMoldovaMonacoMongoliaMontenegroMoroccoMozambiqueMyanmarNamibiaNauruNepalNetherlandsNew ZealandNicaraguaNigerNigeriaNiueNorwayOmanPakistanPalauPalestinian AuthorityPanamaPapua New GuineaParaguayPeruPhilippinesPolandPortugalPuerto RicoQatarRomaniaRussiaRwandaSaint Kitts and NevisSaint LuciaSaint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi ArabiaSenegalSerbiaSeychellesSierra LeoneSingaporeSlovakiaSloveniaSolomon IslandsSomaliaSouth AfricaSouth SudanSpainSri LankaSudanSurinameSwazilandSwedenSwitzerlandSyriaTaiwanTajikistanTanzaniaThailandTogoTongaTrinidad and TobagoTunisiaTurkeyTurkmenistanTuvaluUgandaUkraineUnited Arab EmiratesUnited KingdomUnited States of AmericaUruguayUzbekistanVanuatuVatican CityVenezuelaVietnamWestern SaharaYemenZambiaZimbabwe
Student of mathematics, science, computer science, economics or business administration with a quantitative orientation and excellent grades
Solid programming skills are required, preferably Python
Knowledge of quantitative methods, statistics, machine learning, financial mathematics, data analysis or econometric approaches
Interest in capital markets
Students from countries outside the EU require a German residence-/work permit. The first master’s degree may not have been completed before/during the entire internship.
Dates
Deadline:
As soon as possible
Cost/funding for participants
Fully Funded
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As the world's leading reinsurance company with more than 11,000 employees at over 50 locations, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into a manageable risk we enable fundamental change. Join us working on topics today that will concern society tomorrow, whether that be climate change, major construction projects, medical risk assessment or even space travel.
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