채용

Python Financial Model Engineer, Associate
BU3-Budapest-GTC White House, Vaci ut 47, District XIII, Budapest
·
On-site
·
Full-time
·
2mo ago
복지 및 혜택
•Healthcare
•401(k)
•Flexible Hours
•Learning
•Parental Leave
필수 스킬
Python
Pandas
Apache Arrow
Snowflake
Azure DevOps
Git
Object-Oriented Design
Algorithms
Data Structures
Mathematics
Statistics
About this role
About Quantitative Analytics Engineering
Black Rock is one of the world’s preeminent asset management firms and an outstanding provider of global investment management, risk management, and advisory services to institutional, intermediary and individual investors around the world. Besides offering a range of investment solutions — from fundamental and quantitative active management approaches to highly efficient indexing strategies – Black Rock also provides direct access to its market leading analytic models by onboarding clients to its Aladdin Platform, an end-to-end portfolio management software solution.
The Investments and Trading Engineering (ITE) team builds and delivers Aladdin's industry-leading risk management, portfolio management, compliance and trading capabilities. Within ITE, Quantitative Analytics Engineering (QAE) is a global team of quantitative developers responsible for the implementation of security valuation, portfolio risk, liquidity and performance attribution models. Black Rock Portfolio managers and external Aladdin clients such as pension funds and insurance companies rely on models maintained by QAE to identify investment opportunities, build portfolios and manage risk.
What will you be doing?
Our diverse and distributed team has a keen interest and expertise in all things related to technology and financial analytics. We provide the technology platform that enables research, implementation, delivery and execution of financial risk models to our internal partners and external clients, and their integration with Aladdin.
We are looking for a self-motivated software engineer to onboard models to said platform. Collaborate with modellers on the implementation and deployment of financial risk models. Understand client requirements and translate them into software engineering tasks.
Our team:
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Is passionate about technology and solving complex problems.
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Develops in Python, working with technologies like Pandas, Apache Arrow, Snowflake, Prefect, Docker, and Azure DevOps.
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Consists of technologists that unlock constant innovation.
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Constantly challenges the technology status quo and looks for ways to improve the platform.
Key Responsibilities
We expect the role to involve the following core responsibilities and would expect a successful candidate to be able to demonstrate skills or experience with the following (not in order of priority):
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Quickly learn the platform and act as a subject matter expert towards modelling teams and product analysts.
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Work with modellers and product analysts to understand the business and their requirements. Help implement those on our platform using engineering best practices.
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Facilitate technical design and code review sessions to ensure software meets functional and compatibility requirements, as well as high quality standards.
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Stay abreast of the latest developments in machine learning, quantitative finance, and technology to incorporate innovative solutions into our platform.
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Enhance the performance of existing models, ensuring they operate efficiently at scale.
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Implementation and maintenance of a standard data / technology deployment workflow to ensure that all deliverables/enhancements are delivered in a disciplined and robust manner.
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Ensure operational readiness of the product and meet customer commitments with regards to incident SLAs.
Skillset
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Strong experience (3+ years) in Python is crucial
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Bachelor’s (BSc) or higher degree in Computer Science or related field
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Experience with Pandas, Apache Arrow, Snowflake, (Prefect is a plus)
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Good understanding of Object-Oriented Design principles
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Fluency with AI coding tools and the use of LLM in everyday development
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Good understanding of fundamental Algorithms and Data Structures
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Knowledge of Azure DevOps and git, CI/CD
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Good understanding of unit tests, integration and regression tests, and their importance
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An aptitude for designing data models and pipelines is a plus
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Ability to understand advanced mathematical and statistical methods and concepts
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Fluency in reading, writing and speaking English
Personal Qualities
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Team player
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Problem-solving skills
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Critical and analytical thinking
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Technical curiosity
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Adaptable
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
Black Rock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at Black Rock.
About Black Rock
At Black Rock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on Black Rock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
Black Rock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
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BlackRock 소개

BlackRock
PublicMultinational investment company.
10,001+
직원 수
New York City
본사 위치
$114B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
3.5
보상
4.2
문화
3.4
커리어
3.7
경영진
2.8
72%
친구에게 추천
장점
Good compensation and benefits
Learning and growth opportunities
Work-life balance and flexibility
단점
Long hours and demanding work
High stress and expectations
Management issues and disorganization
연봉 정보
4,690개 데이터
L2
L3
L4
L5
L6
M3
M4
M5
M6
L2 · Associate L2
0개 리포트
$104,000
총 연봉
기본급
$41,600
주식
$52,000
보너스
$10,400
$72,800
$135,200
면접 경험
6개 면접
난이도
3.3
/ 5
소요 기간
14-28주
합격률
17%
면접 과정
1
HireVue
2
Online Assessment
3
Final Round/Superday
자주 나오는 질문
Technical interviews
Behavioral questions
Role-specific assessments
뉴스 & 버즈
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