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Text Content

About 01


ABOUT US

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slide 1 of 1


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Holus Capital is a proprietary set to be a market-making firm. We add value to
the markets in which we participate by providing liquidity in a full range of
financial instruments across multiple asset classes. We design and build
cutting-edge technology and serve as a leader in the global derivatives
marketplace.

We deploy innovative trading strategies that integrate technology with a
quantitative automated market-making approach. We respond quickly to constantly
evolving markets, because our team members - traders, software engineers and
quants - work side-by-side in an open, collaborative environment.

This unique approach enables us to successfully leverage our strategies across a
multitude of products and global exchanges. Our success begins with talented
individuals -and is maintained and driven by a unified team effort.

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slide 2 of 3

> Technology is a driving force of our business; we make ongoing capital
> investments to ensure our employees have the tools they need to excel. we uses
> proprietary software and analytic systems, developed in-house, to provide
> liquidity and identify trading opportunities. We credit our technological
> success to our unique work environment, which eliminates the traditional
> divide between idea makers and programmers and technology implementers. This
> highly collaborative atmosphere allows us to efficiently and effectively
> integrate technology and trading to achieve success.
> 
> Technology

> Our trading teams collectively implement our trading strategies, while
> monitoring the markets to ensure our strategies are effectively reacting to
> changing market conditions. In addition, our traders participate in
> cross-functional teams, comprising traders, software engineers and quants, to
> develop new and enhance existing trading strategies. These teams work to solve
> hard problems by leveraging technology and thinking innovatively.
> 
> Trading

> At holus, quantitative research is the foundation for our trading strategies.
> We develop mathematical models to represent markets and behavioral patterns.
> These models serve as roadmaps for our pricing strategies, market decisions
> and risk management.
> 
> Quantitative Research

> Technology is a driving force of our business; we make ongoing capital
> investments to ensure our employees have the tools they need to excel. we uses
> proprietary software and analytic systems, developed in-house, to provide
> liquidity and identify trading opportunities. We credit our technological
> success to our unique work environment, which eliminates the traditional
> divide between idea makers and programmers and technology implementers. This
> highly collaborative atmosphere allows us to efficiently and effectively
> integrate technology and trading to achieve success.
> 
> Technology

> Our trading teams collectively implement our trading strategies, while
> monitoring the markets to ensure our strategies are effectively reacting to
> changing market conditions. In addition, our traders participate in
> cross-functional teams, comprising traders, software engineers and quants, to
> develop new and enhance existing trading strategies. These teams work to solve
> hard problems by leveraging technology and thinking innovatively.
> 
> Trading


Current Openings 02


CURRENT OPENINGS

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 * Quant trader
 * Quantitative Research Analyst

QUANT TRADER

RESPONSIBILITIES

1) Creating a suite of execution/market making algorithms using various
prediction models and alphas.
2) Take responsibility of running their algorithms optimally in the production
environment.
3) Monitoring PnL and making adjustments to parameters of trading strategies.
4) Improving execution/market making logics and automating various strategy
logics.
5) Preparation of daily P&L, exposure and risk reports.
6) Assist in the development of various analytical tools
7) Evaluate various forecasting models using statistical measures
8) Researching potential trading ideas and helping to devise new trading
strategies.
9) Tackle operational challenges, ensuring our automated trading systems are
continuously operating at maximum performance.
10) Investigate the potential application of existing strategies to other asset
classes/products
11) Perform post-trade analysis of strategies including position and PnL
reconciliation
12) Provide valuable insight into various trading teams and firm-wide research
initiatives

Skills You’ll Need:

1) A bachelor’s or master’s degree in mathematics, statistics, engineering,
computer science or related field
2) Strong quantitative, analytical and problem-solving skills, and ability to
deploy these skills in tighter time constraints
3) s self-motivated enjoys challenges and has an ability to successfully manage
multiple tasks in a fast-paced environment
4) Familiar with C++ and python programming
5) Interested in analyzing large data sets using knowledge of probability and
statistics
6) Can communicate effectively your perspectives on trading strategies and risk
in a concise manner to the team
7) Understanding of Linux admin and shell scripting would be a benefit
8) Familiarity with the automated trading environment would be a benefit


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QUANTITATIVE RESEARCH ANALYST

ROLE & RESPONSIBILITY



1) Contributing to original research on quantitative indicators/models that
drive the construction of high-frequency trading strategies, that we trade in
production

2) Developing trading strategies, from idea generation and data collection to
analysis and model creation

3) Extract predictive signals from financial data through statistical analysis
methods

4) Assist software developers to translate research strategies into production
software

5) Optimize the order execution and risk management of our trading system

6) Analyze a large amount of data and develop prediction algorithms/regression
models and implement them in C++, R, Matlab and python environments

7) Formulate and apply mathematical modelling techniques to enhance existing
trading strategies and perform innovative new research with the goal of
identifying and capturing trading opportunities

8) Automate human-decision based trading strategies; prototype algorithmic
trades from trading ideas

9) Applying analytical and simulation techniques to analyze model performance

 

Must Haves




1) A strong academic record with a preference for a master’s/PhD degree in a
quantitative discipline – computer science, mathematics, physics, statistics, or
a related discipline

2) A demonstrated capacity to do first-class research & experience in tackling
in-depth research projects.

Strong computer programming skills and experience working with data.

3) Understanding in at least some of the following areas: time-series analysis,
statistical estimation, Bayesian techniques, scenario analysis, numerical
optimization and optimal control.

4) A curiosity for model development and experience handling large data sets

5) Strong problem-solving and statistics skills

6) The proactive ability to take the lead on assignments and deliver practical
research results in a timely manner

7) Can advocate for your beliefs in a concise and effective way with the team

8) Creativity, solid analytical skills and attention to detail.

9) The ability to communicate complex ideas clearly.



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Contact 03


GET IT TOUCH

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MESSAGE ME





MY DETAILS

Blooms Berry Services, 1102, CHANDAK FAIME CHAMBER
Next to Maharaja Restuarant,
Near to Western Express Highway Metro Station,
Opp. Guru Nanak Petrol Pump & CNG,
Andheri (E), Mumbai 400069.

 * info@holuscapital.com
 * +91 9136099056