Fasanara Capital

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We offer a positive and stimulating working environment where personal and professional development is encouraged. We are always interested in meeting talented professionals who would like to join Fasanara Capital. If you wish to be considered for any currently open or future positions, please send an e-mail to HR@fasanara.com.

Quantitative Researcher 

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The Firm

 

Fasanara Capital is a boutique alternative asset manager, offering access to a range of inventive multi-asset capacity-constrained niche products. Over the past 10 years, we are pursuing unorthodox portfolio construction and unconventional investment strategy is a response to today’s transformational markets. Fasanara Digital is the crypto arm of Fasanara Capital. We are a quantitative investment fund applying a scientific approach to investing in cryptoassets. Our goal is to achieve exceptional risk-adjusted returns. We pursue a range of diversified and highly sophisticated investment strategies that seek to profit from inefficiencies in the market structure.

 

Our Culture

 

We are strong believers in meritocracy, and we seek to reward people based on impact and excellence. There is no bureaucracy of large organisations, the environment is collaborative, entrepreneurial, and is based on trust. We set ambitious goals, work extremely hard, stress teamwork, and adhere to the highest level of excellence in everything we do. We are only as good as our team. Thus, we are building the firm around exceptional talent.

 

The Position

 

We are looking for an experienced Quantitative Researcher who will be part of a small team directly working with portfolio managers and technology. In the role you will be designing and implementing complex, multi-faceted systems supporting pre-and post-trade analysis. Work with a large amount of data to improve execution and enhance operational efficiency across all aspects of our business. Extensive exposure to data acquisition tools for real-time data, research for and support of our risk management suite and monitoring infrastructure.

 

Responsibilities:

• Design and implementation of data acquisition and processing tools, both real-time and offline

• Research analytics for trading signal generation, optimisation of execution, and portfolio construction in conjunction with portfolio managers

• Enhancement of operational efficiency through automation

• Risk monitoring, alerting and position, and P&L calculation

 

Requirements:

• >3 years professional front-office experience at banks or hedge funds

• Advanced degree in a highly quantitative discipline

• Demonstrated ability to complete high level, investment-related research

• Experience of applying advanced quantitative techniques in solving complex data-intensive problems

• Strong analytical skills and excellent familiarity with data analysis in Python

• Hands-on experience with large volumes of time-series data & time-series databases

 

Preferred Qualifications:

• Knowledge of derivatives

• Published Peer-reviewed research

• Experience with algorithmic trading

• Time-series and SQL database management

• Familiarity with exchange connectivity (market data and trading)

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To apply for this position please send a copy of your CV and Cover Letter to:

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Data Scientist Internship 

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Responsibilities

• We are looking for an intern who is ready to take on stimulating projects and gain exposure to the Asset Management industry

• Support data management pipeline in the daily operations

• Maintenance of codebase for data acquisition, cleaning and storing

• Credit analytics, big data analysis

• Conducting quantitative analysis on alternative credit markets 

 

Qualifications

• Motivated, competitive, and eager to learn

• Must be a current student pursuing a computer science or mathematical degree and be in their final year

• Strong written and verbal communication skills required

• Extensive experience of programming in Python 

• Strong analytical, quantitative, problem solving and conceptual skills required

• Must be detail oriented and able to prioritize tasks to meet deadlines.

• Must be able to work independently or in a team setting.

• Previous internships and research experience is considered a plus

 

Working Conditions

• Please note this position requires the legal right to work in the UK

 

What We Can Offer

• Opportunity to apply for full-time career positions (if available)

• Working from our Mayfair office

• Data Analysis and Data Management training

• Friendly and stimulating work environment

• Exposure to quant algo trading, markets, complex data analysis, innovative R&D, Fintech

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To apply for this position please send a copy of your CV and Cover Letter to:

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Operations Analyst Internship 

 

We are looking for a young, self-motivated person who is ready to step into the vibrant market of Alternative Credit and lead his/her career to the future of the finance industry. The candidate will be a part of the operations team and get the opportunity to learn the ins and outs of the daily activities of the company. The internship aims at full-time employment.

 

Responsibilities:

• Acquire data from counterparties and make it program readable

• Ensure data is fully and accurately reconciled

• Liaise with the counterparties if any discrepancy is found in their report

• Liaise with the tech team to improve the operations processes

• Prepare Profit and Loss reports periodically

• Liaise with the fund administrator for Net Asset Value reconciliation and submission

• Contribute ideas to improving efficiency and controls Apart from the Operations related work, the intern will be given other tasks to give him/her the opportunity to diversify his/her knowledge.

 

Skills and Requirements:

• The ideal candidate should be highly motivated and committed person who has the ability to work efficiently under pressure.

• Graduate from a relevant field (Accounting/Finance/Business Studies)

• Interest in working with numbers

• Accuracy and attention to detail

• High analytical and problem-solving ability

• Good command over Microsoft Excel

• Good communication skill to liaise with external parties

• Prior knowledge of Python is considered a plus.

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To apply for this position please send a copy of your CV and Cover Letter to:

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