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the data science intermediate analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
responsibilities:
* conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
* mines and analyzes data from various banking platforms to drive optimization and improve data quality
* delivers analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
* consults with business clients to determine system functional specifications. Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business objectives
* consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards; recommends solutions
* leads system change process from requirements through implementation; provides user and operational support of application to business users
* formulates and defines systems scope and objectives for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards
* impacts the business directly by ensuring the quality of work provided by self and others; impacts own team and closely related work teams
* considers the business implications of the application of technology to the current business environment; identifies and communicates risks and impacts
* drives communication between business leaders and it; exhibits sound and comprehensive communication and diplomacy skills to exchange complex information
* performs other duties and functions as assigned
* appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
qualifications:
* 2-5 years experience using tools for statistical modeling of large data sets
* ability to effectively use complex analytical, interpretive and problem solving techniques
* analytical, flexible, team-oriented and has good interpersonal/communication skills
* demonstrated influencing, facilitation and partnering skills
* proficient in microsoft
education:
* bachelor’s/university degree or equivalent experience
this job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
¿estás buscando aplicar tus conocimientos como data scientist?
¿quisieras trabajar en una empresa que cuente con la tecnología adecuada, grandes volúmenes de datos de diversas fuentes y aplicar técnicas estadísticas avanzadas para proponer oportunidades de negocio?
en citibanamex puedes desarrollar, implementar y ajustar soluciones analíticas que sean automáticas, replicables y escalables en distintos lenguajes de programación. Y si disfrutas de un ambiente laboral que promueva el aprendizaje e innovación continua. ¡tenemos la mejor opción para ti!
descripción:
decision science es un área en dónde analizamos grandes volúmenes de datos de diversas fuentes, con técnicas de análisis innovadoras, combinadas con nuevas plataformas tecnológicas y modelos de última generación, dando soluciones o áreas de oportunidad al negocio.
diseñamos e implementamos nuevas estrategias con el fin de dar un mejor servicio a nuestros clientes, desarrollamos estrategias para productos de crédito al consumo y captación, proponemos y comprendemos kpi’s para presentar resultados sintetizados a alta dirección.
responsabilidades:
* análisis, desarrollo e implementación de modelos que mejoren la experiencia del cliente y con alto impacto en el negocio.
* responsable del cumplimiento de la política de desarrollo, validación, implementación y monitoreo de modelos.
* proponer fuentes de información alternativas e innovadoras
* investigación para proponer soluciones de vanguardia referentes al ciclo de vida de los modelos.
* conciliación y negociación entre las áreas involucradas del banco (producto, segmento, riesgo, finanzas, cross sell, overlap, pricing, modelling, testing etc.)
* identificar oportunidades de alto impacto y proponga estrategias que se traducirán en crecimiento de cartera y revenue, a través de técnicas y modelos estadísticos avanzados.
* valoración y seguimiento de iniciativas de alto impacto.
* resumir los hallazgos clave y presentarlos a la alta dirección.
requisitos:
* licenciado en actuaría, matemáticas, ingeniería, economía o afines. (carrera terminada/titulo deseable).
* indispensable experiencia profesional en paquetes estadísticos (sas avanzado, sql, r intermedio y python intermedio, spark deseable).
* experiencia de al menos 1 año en aprobación y monitoreo de modelos estadísticos, deseable uso de técnicas machine learning.
* deseable 2 años de experiencia (indispensable 1 año) en sector financiero, en proyectos como data scientist con antecedentes de gestión de proyectos multidisciplinarios.
* nivel de inglés: avanzado
habilidades:
* fuertes habilidades analíticas
* capacidad para traducir números en estrategias accionables.
* gestión de proyectos; conocimiento ágil y scrum: deseable, establecimiento de prioridades.
* habilidades intermedias en excel y power point.
* habilidades de negociación, liderazgo: capacidad de crear sinergias con otros equipos, colaborativo, proactivo y creativo.
* conocimiento de los productos de banca de consumo: deseable.
* resiliencia y adaptación a los cambios.
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job family group:
technology
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job family:
data science
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time type:
full time
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most relevant skills
please see the requirements listed above.
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other relevant skills
for complementary skills, please see above and/or contact the recruiter.
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citi 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.
if 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.
view citi’s eeo policy statement and the know your rights poster.
seniority level
* seniority level
not applicable
employment type
* employment type
full-time
job function
* job function
engineering and information technology
* industries
banking, financial services, and investment banking
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