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Data Analyst

Raiffeisen Bank is the largest Ukrainian bank with foreign capital. For over 30 years, we have been shaping and developing the banking system of our country.

At Raiffeisen, more than 5,500 employees work together, including one of the largest product IT teams, consisting of over 800 professionals. Every day, we collaborate to ensure that more than 2.7 million of our clients receive quality service, use the bank’s products and services, and develop their businesses because we are #Together_with_Ukraine.

Your future responsibilities:

  • Periodic review, validation and support of credit risk forecasting models for retail business clients in line with regulatory requirements (Basel, IFRS9) 
  • Periodic review, validation and maintenance of statistical models oriented to business and other needs 
  • Model review within the models development and regular performance checks in line with regulatory requirements and Group directives 
  • Prepare of regular reports on the quality of the models, perform in-depth analysis of model outputs to identify any anomalies or discrepancies 
  • Presentation of research results 
  • Collaborate with cross-functional teams to identify potential model weaknesses and propose improvements 
  • Stay up-to-date with industry standards and best practices in model development and validation 

Your skills and experience:

  • Master's degree in fields such as finance, mathematics, statistics or IT
  •  Proficiency in SQL
  • Strong analytical skills 
  • Knowledge of mathematical statistics 
  • Level of English B2+ (Upper Intermediate) 
  • Effective communication and presentation skills 

Will be a plus:

  • Understanding the main stages and types of machine learning models 
  • Proven experience in model validation within the banking industry 
  • Knowledge of SAS, R or Python 
  • Practical skills in working with version control (GIT) 
  • Experience with Power BI 

We offer what matters most to you:

  • Competitive salary: we guarantee a stable income and annual bonuses for your personal contribution. Additionally, we have a referral program for attracting new colleagues to Raiffeisen Bank.
  • Social package: official employment, 28 days of paid leave, additional "maternity leave" for fathers, and financial assistance for parents at the birth of children.
  • Comfortable working conditions: the possibility of a hybrid work format, offices equipped with shelters and generators, provision of modern equipment.
  • Wellbeing program: all employees have access to health insurance from the first working day; consultations with a psychologist, nutritionist or lawyer; discount programs for sports and shopping; family days for children and adults; massage in the office.
  • Training and development: access to over 130 online educational resources; corporate training programs in CX, Data, IT Security, Leadership, Agile. Corporate library and English lessons.
  • Cool team: our colleagues are a community where curiosity, talent and innovation are welcomed. We support each other, learn together and grow. You can find like-minded people in more than 15 professional communities, reading or sports clubs.
  • Career opportunities: we encourage advancement within the bank between functions.
  • Support program for defenders: we keep jobs and pay the average salary to mobilized people. We have a support program for veterans, and the Bank's veteran community is developing. We are working to raise awareness among managers and teams about veterans' return to civilian life. Raiffeisen Bank is recognized as one of the best employers for veterans (Forbes)

Why Raiffeisen Bank?

  • Our main value is people, and we support and recognize them, educate them and involve them in changes. Join Raif’s team because for us YOU matter!
  • One of the largest lenders to the economy and agricultural business among private banks
  • Recognized as the best employer by EY, Forbes, Randstad, Franklin Covey, and Delo.UA
  • The largest humanitarian aid donor among banks (Ukrainian Red Cross, UNITED24, Superhumans, СМІЛИВІ)
  • One of the largest IT product teams among the country’s banks. • One of the largest taxpayers in Ukraine; 6.6 billion UAH were paid in taxes in 2023.

Opportunities for Everyone:

  • Rife is guided by principles that focus on people and their development, with 5,500 employees and more than 2.7 million customers at the center of attention
  • We support the principles of diversity, equality and inclusiveness
  • We are open to hiring veterans and people with disabilities and are ready to adapt the work environment to your special needs
  • We cooperate with students and older people, creating conditions for growth at any career stage

Want to learn more? - Follow us on social media:

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________________________________________________________________________________________________

Райффайзен Банк — найбільший український банк з іноземним капіталом. Більше 30 років ми створюємо та вибудовуємо банківську систему нашої держави.

У Райфі працює понад 5 500 співробітників, серед них одна із найбільших продуктових ІТ-команд, що налічує понад 800 фахівців. Щодня пліч-о-пліч ми працюємо, щоб більш ніж 2,7 мільйона наших клієнтів могли отримати якісне обслуговування, користуватися продуктами і сервісами банку, розвивати бізнес, адже ми #Разом_з_Україною. 

Твої майбутні обов’язки:

  • Періодичний перегляд, перевірка та підтримка моделей прогнозування кредитного ризику для роздрібних клієнтів відповідно до нормативних вимог (Базель, МСФЗ 9)
  • Періодичний перегляд, перевірка та підтримка статистичних моделей, орієнтованих на бізнес та інші потреби
  • Перегляд моделі в рамках розробки моделей і регулярні перевірки продуктивності відповідно до нормативних вимог і директив Групи
  • Підготовка регулярних звітів про якість моделей, виконання поглибленого аналізу результатів моделей для виявлення будь-яких аномалій або невідповідностей
  • Презентація результатів дослідження
  • Співпраця з міжфункціональними командами, щоб виявити потенційні недоліки моделі та запропонувати вдосконалення
  • Бути в курсі галузевих стандартів і найкращих практик у розробці та перевірці моделей

Твій досвід та навички:

  • Ступінь магістра в таких сферах, як фінанси, математика, статистика чи ІТ
  • Досвід роботи з SQL
  • Сильні аналітичні здібності
  • Знання математичної статистики
  • Рівень англійської B2+ (Upper Intermediate)
  • Здатність ефективної комунікації та презентації

Буде плюсом:

  • Розуміння основних етапів і типів моделей машинного навчання
  • Досвід роботи перевірки моделі в банківській галузі
  • Знання SAS, R або Python
  • Практичні навики роботи з контролем версій (GIT)
  • Досвід роботи з Power BI

Пропонуємо те, що має значення саме для тебе: 

  • Конкурентна заробітна плата: гарантуємо стабільний дохід та річні бонуси за твій особистий внесок. Додатково, у нас діє реферальна програма винагороди за залучення нових колег до Райффайзен Банку.  
  • Соціальний пакет: офіційне працевлаштування, 28 днів оплачуваної відпустки, додатковий «декрет» для татусів, та матеріальна допомога для батьків при народженні дітей.  
  • Комфортні умови праці: можливість гібридного формату роботи, офіси забезпеченні укриттями та генераторами, забезпечення сучасною технікою.
  • Wellbeing програма: для всіх співробітників доступні медичне страхування з першого робочого дня; консультації психолога, нутриціолога чи юриста; дисконт програми на спорт та покупки; family days для дітей та дорослих; масаж в офісі.  
  • Навчання та розвиток: доступ до понад 130 навчальних онлайн-ресурсів; корпоративні навчальні програми з CX, Data, IT Security, Лідерства, Agile. Корпоративна бібліотека та уроки англійської. 
  • Крута команда: наші колеги – це спільнота, де вітаються допитливість, талант та інновації. Ми підтримуємо один одного, вчимося разом та зростаємо. Ти можеш знайти однодумців у понад 15-ти професійних ком’юніті, читацькому чи спортивному клубах. 
  • Кар'єрні можливості: ми заохочуємо просування всередині банку між функціями. 
  • Програма підтримки захисників і захисниць: ми зберігаємо робочі місця та виплачуємо середню заробітну плату мобілізованим. Для ветеранів та ветеранок у нас діє програма підтримки, розвивається ветеранська спільнота Банку. Ми працюємо над підвищенням обізнаності керівників та команд з питань повернення ветеранів до цивільного життя. Райффайзен Банк відзначений як один з найкращих роботодавців для ветеранів (Forbes) 

Чому Райффайзен Банк?

  • Наша головна цінність — люди і ми даємо їм підтримку і визнання, навчаємо, залучаємо до змін. Приєднуйся до команди Райфу, адже для нас ТИ маєш значення! 
  • Один із найбільших кредиторів економіки та аграрного бізнесу серед приватних банків 
  • Визнаний найкращим працедавцем за версіями EY, Forbes, Randstad, Franklin Covey, Delo.UA 
  • Найбільший донор гуманітарної допомогисеред банків (Червоний Хрест України, UNITED24, Superhumans, СМІЛИВІ) 
  • Один із найбільших платників податків в Україні, за 2023 рік було сплачено 6,6 млрд гривень

Можливості для всіх:

  • Райф керується принципами, що фокусуються на людині та її розвитку, у центрі уваги 5 500 співробітників та понад 2,7 мільйони клієнтів   
  • Підтримуємо принципи різноманіття, рівності та інклюзивності
  • Ми відкриті до найму ветеранів і людей з інвалідністю та готові адаптувати робоче середовище під ваші особливі потреби
  • Співпрацюємо зі студентами та людьми старшого віку, створюючи умови для зростання на будь-якому етапі кар’єри

Бажаєш дізнатися більше? — Підписуйся на нас у соц.мережах:

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Рекрутер: Марина Якименко maryna.m.yakymenko@raiffeisen.ua

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What You Should Know About Data Analyst, Raiffeisen Bank Ukraine

Are you an analytical thinker with a passion for data? Raiffeisen Bank is on the lookout for a talented Data Analyst to join our dynamic team! As the largest Ukrainian bank with foreign capital, we pride ourselves on delivering top-notch services to over 2.7 million clients. With a growing IT team of over 800 professionals, you will play a crucial role in periodic reviews, validation, and support of credit risk forecasting models for our retail business clients. Your work will align with regulatory requirements such as Basel and IFRS9, while also providing statistical models tailored for business needs. We want you to dive deep into model outputs, prepare detailed quality reports, and collaborate closely with cross-functional teams to strengthen our model capabilities. Staying current with industry standards and best practices is key as you uncover potential improvements and present your research findings. To thrive in this role, you'll need a Master’s degree in finance, mathematics, statistics, or IT, alongside proficiency in SQL, strong analytical skills, and effective communication abilities. If you have experience in model validation within the banking industry or skills in Python, SAS, or Power BI, we’d be thrilled to see your application. Enjoy a rewarding career with a competitive salary, great benefits, and a supportive work environment – join us in making a difference at Raiffeisen Bank. It's where YOU matter!

Frequently Asked Questions (FAQs) for Data Analyst Role at Raiffeisen Bank Ukraine
What does a Data Analyst do at Raiffeisen Bank?

At Raiffeisen Bank, a Data Analyst is responsible for reviewing, validating, and supporting credit risk forecasting models to ensure compliance with regulatory requirements. The role involves preparing reports, performing detailed analysis of model outputs, and collaborating with cross-functional teams to identify areas for model improvement.

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What qualifications are needed to become a Data Analyst at Raiffeisen Bank?

To become a Data Analyst at Raiffeisen Bank, candidates typically need a Master's degree in finance, mathematics, statistics, or IT. Proficiency in SQL and a solid understanding of mathematical statistics are essential, alongside strong analytical and communication skills.

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Is experience in the banking sector required for the Data Analyst role at Raiffeisen Bank?

While prior experience in the banking sector is advantageous, it is not mandatory to apply for the Data Analyst position at Raiffeisen Bank. However, familiarity with model validation within this industry can enhance your candidacy.

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What skills can enhance my application for the Data Analyst position at Raiffeisen Bank?

In addition to the required qualifications for a Data Analyst at Raiffeisen Bank, skills in programming languages such as Python, SAS, or R, as well as experience with Power BI and version control systems like GIT, can significantly enhance your application.

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What is the work environment like for a Data Analyst at Raiffeisen Bank?

Raiffeisen Bank offers a supportive and collaborative work environment for Data Analysts. With a hybrid work model and access to modern equipment, employees can thrive while contributing to meaningful projects alongside a community of over 800 IT professionals.

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What career development opportunities exist for Data Analysts at Raiffeisen Bank?

At Raiffeisen Bank, Data Analysts have numerous career development opportunities, including access to over 130 online educational resources, participation in corporate training programs, and avenues for advancement across different functions within the bank.

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What benefits do Data Analysts receive at Raiffeisen Bank?

Data Analysts at Raiffeisen Bank enjoy a competitive salary and a comprehensive benefits package, including health insurance, paid leave, wellness programs, and the chance to be part of a vibrant community committed to growth and support for each other.

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Common Interview Questions for Data Analyst
Can you explain how you validate credit risk forecasting models?

When answering this question, you should detail your approach to model validation, including the methodologies you use for testing model accuracy, compliance with regulatory standards, and any statistical techniques you apply. Highlight your analytical thinking process and share examples of past experiences if available.

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What experience do you have with SQL in your previous roles?

To effectively answer this question, discuss your proficiency in SQL, emphasizing projects where you utilized it to extract, analyze, or manipulate data. Provide specific examples that demonstrate your knowledge and skills to give the interviewer insights into your technical capabilities.

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How do you handle discrepancies or anomalies found in model outputs?

Share a structured approach to identifying and addressing discrepancies in model outputs. Emphasize your analytical skills and mention how collaborating with teams is essential to developing solutions and improving model accuracy. Providing a real-life example can help illustrate your problem-solving skills.

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What statistical methods are you familiar with, and how have you applied them?

Discuss the various statistical methods you're acquainted with, such as regression analysis, hypothesis testing, or time series analysis. Provide examples of how you've applied these methods in predictive analytics or model validation, showcasing your analytical proficiency.

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Can you describe a time when your communication skills helped in presenting complex data?

When answering this question, recount a specific instance where you successfully packaged complex data into understandable formats, such as reports or presentations. Detail how you tailored your communication style to your audience, ensuring clarity and engagement.

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What do you consider when developing statistical models?

In your response, mention key factors to consider such as data quality, model assumptions, potential biases, and regulatory requirements. If applicable, provide insights from your experiences with model development that relate to these considerations.

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How do you stay updated on industry standards and best practices in data analysis?

Detail any resources you utilize to keep yourself informed, such as attending workshops, reading publications, or participating in professional forums. Demonstrating your commitment to continuous learning will be valuable in this response.

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Describe your experience with machine learning models.

Talk about any knowledge you have regarding the stages of machine learning model development, and provide examples if you have experience in implementing such models. Knowing how to integrate machine learning with data analysis can set you apart.

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What strategies do you use for effective teamwork in cross-functional projects?

Share your strategies for effective collaboration, emphasizing communication channels, project management methods, and the importance of being receptive to ideas. Illustrate your teamwork experience, particularly in past projects involving data analysis.

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What motivated you to apply for the Data Analyst position at Raiffeisen Bank?

Your response should reflect your genuine interest in Raiffeisen Bank's values and mission. Highlight how your skills align with the role and your enthusiasm for contributing to projects that impact clients positively, showing your dedication to the bank's objectives.

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Established in 1992, Raiffeisen Bank Aval is a commercial financial institution offering a range of banking services. It is headquartered in Kyiv, Ukraine and is part of the Raiffeisen Bank International AG Group.

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Full-time, hybrid
DATE POSTED
November 28, 2024

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