AHL Quant Developer (Bulgaria Remote)

Posted 7 Days Ago
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Sofia, Sofia-grad
3-5 Years Experience
Financial Services
The Role
Quant Developer role at AHL involving implementation of trading strategies, building research frameworks, developing data feeds, portfolio construction, and risk analysis tools. Requires expertise in Python, Java, C/C++, Linux, Oracle, MongoDB, NumPy, SciPy, Pandas, and knowledge of financial markets and instruments.
Summary Generated by Built In

The Role

As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools

Our Technology

Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle.

We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker + Kubernetes for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries.

Technology and Business Skills

We strive to hire only the brightest and best and most highly skilled and passionate technologists.

Essential

  • Exceptional technology skills; recognised by your peers as an expert in your domain
  • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches
  • Expert knowledge in one or more programming languages, preferably Python, Java and/or C/C++
  • Proficient on Linux platforms with knowledge of various scripting languages
  • Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB
  • Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React
  • Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns.

Advantageous

  • An excellent understanding of financial markets and instruments
  • Knowledge and experience of fixed income products or volatility trading.
  • Experience of quantitative or automated trading systems development e.g. in a hedge fund or investment bank
  • Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing
  • A knowledge of modern practices for data engineering and stream processing
  • An understanding of financial market data collection and processing
  • Experience of web-based development and visualisation technology for portraying large and complex data sets and relationships
  • Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms.

Personal Attributes

  • Strong academic record and a degree with high mathematical or computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university
  • Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others
  • Focused on delivering value to the business with relentless efforts to improve process
  • Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike
  • Confident communicator; able to argue a point concisely and deal positively with conflicting views.
  • Intellectually robust with a keenly analytic approach to problem solving
  • Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities.
  • Demonstrable passion for technology e.g. personal projects, open-source involvement.

Work-Life Balance and Benefits at Man

Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry. https://www.man.com/diversity. Man Group is also a Signatory of the Women in Finance Charter.

Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme.

We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.

Top Skills

Python,Java,C/C++
The Company
HQ: New York, NY
2,471 Employees
On-site Workplace
Year Founded: 1783

What We Do

Man Group is a global active investment management firm, which runs $127 billion* of client capital in liquid and private markets, managed by investment specialists based around the world. Headquartered in London, the firm has 15 international offices and operates across multiple jurisdictions. Our business has five specialist investment engines, which represent the range of our capabilities: Man AHL, Man Numeric, Man GLG, Man FRM and Man GPM.

These engines house numerous investment teams, working collaboratively within the framework of Man Group, with a high degree of investment autonomy. Each team benefits from the strength and resources of the firm’s single operating platform, enabling their primary focus to be seeking to generate alpha for clients. The teams invest across a diverse range of strategies and asset classes with highly specialised approaches, with long only and alternative strategies run on a discretionary and quantitative basis in single and multi-manager formats. Our clients are at the heart of everything we do and we engage in close dialogue with our investors as strategic partners, to understand their particular needs and constraints. Man Group’s investment teams are empowered and supported by our institutional infrastructure and technology, which aims to facilitate the efficient exposure to markets and effective collaboration across the organisation.

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