1906
- Detailid
- Esmane info
- Ettevõte
Requirements for candidates
- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, or Computer Science.
- Minimum of 5 years of experience in a data analysis role, with a focus on collections or credit risk management preferred.
- Proficiency in SQL, Python, R, or other programming languages used for data manipulation and analysis.
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical audiences.
- Proven track record of driving business results through data-driven decision-making.
Job description
- Utilize advanced analytical techniques to collect, analyze, interpret, and analyze numerical and statistical data related to collections performance, delinquency trends, and customer behavior.
- Identify patterns, correlations, and opportunities for improvement in collections strategies.
- Create insightful reports and visualizations to communicate findings to various departments.
- Leverage tools such as SAS, SQL, and possibly other big data/cloud solutions for automation.
- Lead end-to-end data processes, including sourcing, importing, cleaning, transforming, and modeling.
- Collaborate with cross-functional teams to develop and refine collections strategies based on data-driven insights.
- Provide recommendations for optimizing contact strategies, repayment plans, and recovery workflows.
- Advise on opportunities to leverage reference data and vendor capabilities.
- Monitor vendor performance against agreed standards and timelines.
- Stay abreast of industry trends, best practices, and emerging technologies in collections analytics.
- Proactively identify opportunities for process improvement and efficiency gains.
- Generate regular reports and dashboards to track key performance indicators (KPIs) such as recovery rates, cure rates, and aging metrics.
- Develop visualizations that communicate complex data insights in a clear and actionable manner.
What we offer
- Working in a fast-growing international finance company.
- Friendly atmosphere and supportive team.
- Flexible working hours.
- Possibility to work from home and from the office.
- Opportunities for growth, the realization of own ideas, and further training.
- Access to LinkedIn learning with over 8000 courses.
- Professional and attentive environment.
- Competitive Fringe benefits.
€
3500 - 5000
Asukoht
- Saksamaa
- Kaugtöö võimalus
Tööaeg
- Täistööaeg
Oskused
Keeled
- Inglise
Kontaktisik
Erika Stiormer
+370 65666882
Erika Stiormer
+370 65666882
Multitude is a listed European FinTech company, offering digital lending and online banking services to consumers, small and medium-sized businesses, and other FinTechs. The services are provided through three independent business units, which are served by our internal Banking-as-a-Service Growth Platform. Multitudes business units are consumer banking (Ferratum), business banking (CapitalBox) and wholesale banking (Multitude Bank).
Multitude Group employs over 700 people in 25 countries and offers services in 16 countries, achieving a combined turnover of 212 million euros in 2022. Multitude was founded in Finland in 2005 and is listed on the Prime Standard segment of the Frankfurt Stock Exchange under the symbol 'FRU'.
Sarnased töökuulutused:
Piirkonnajuht
Toote- ja tootmisanalüütik
Töökojameister/varustaja