Position Title: Quantitative
Research Analyst
Company: Forest Creek Capital LLC
2600 ElDorado Pkwy
Ste 118
McKinney, Texas 75070
Forest Creek Capital LLC is a unique private investment firm and wants to build
the best quantitative oriented portfolio management team in the industry. We
are seeking to hire exceptionally talented and entrepreneurial thinkers to
design and develop cutting-edge quantitative models and systems.
Quantitative research analysts work closely with the other
team members to design and build predictive models and optimization engines for
use in our trading strategies. Our analysts have end to end ownership from
quantitative strategy development to deployment. Multiple positions are
available.
Key Responsibilities
Formulate portfolio management and security/derivative
selection strategy using statistical and data mining methodologies such as
Neural Networks, Genetic Algorithms and Multi-Factor Regression models etc.
Use stochastic calculus to develop the pricing for
derivatives (e.g., options)
Perform validation and testing of portfolio exposures,
performance, risk, factor biases to ensure that portfolios remain suitable for
the return-risk constraints under all market conditions
Conducting advanced analysis of trading and market data to
identify underlying factors, provide decision support tools and develop
mathematical models and recommendations for improving our/clients’ trading
process
Develop optimum return-risk trade-offs using operational
research (e.g., constrained optimization) and risk management techniques (e.g.,
industry standard risk valuation techniques such as Value at Risk and Principal
Component Analysis (PCA))
Present a plan including flowcharts and diagrams to convert
the valuation and risk management algorithms into a sequence of steps
Formulate a plan including flowcharts and diagrams to
convert the valuation and risk management algorithms into a sequence of steps
Convert project specifications into a sequence of detailed
instruction and logical steps of a language processable by a computer utilizing
different platforms/languages such as MYSQL, PHP, Python, JAVA and WEKA, etc.
Test, maintain, and monitor other computer programs and
systems, including coordinating the installation of computer programs and
systems that incorporate these project specifications
Education and Experience:
Master’s degree in mathematics, statistics, computer
science, engineering, operations research, or related quantitative field;
Internship, research
project or work experience involving substantial application of mathematics,
statistics, and programming to real-world problems (minimum 2 months).
Mathematics & Statistics: Advanced coursework in
calculus, probability, and statistics; ability to apply stochastic calculus and
quantitative methods to financial modeling and data analysis.
Programming & Computational Methods: Proficiency in
Python and algorithmic logic; ability to design, test, and implement
quantitative models using programming languages such as Python, Java, or SQL.
Quantitative & Analytical Skills: Knowledge of
optimization, regression modeling, and risk management techniques (e.g., Value
at Risk, PCA); ability to develop and validate predictive models.
Critical Thinking & Problem-Solving: Capacity to
evaluate complex datasets, identify anomalies, synthesize case studies, and
exercise sound business judgment.
Communication & Presentation: Ability to translate
technical findings into business recommendations; prepare and deliver
structured presentations of quantitative research.
Our Recruitment Process:
The Forest Creek Capital recruitment process is consistent
with the practices of the quantitative finance industry. We maintain an active
recruiting program across multiple university campuses. Each year, we screen
over 400 resumes and shortlist 30-40 candidates. Candidates must have a minimum
GPA of 3.7 out of 4.0 scale. Candidates are required to complete math,
statistics, and programming proficiency tests administered by online assessment
platforms such as HackerRank. A minimum score of higher than top quartile score
is required to advance. Passing candidates participate in an informational
interview to determine interest in the role, availability, willingness to
relocate, and cultural fit.
Candidates who advance are invited to Forest Creek Capital’s
office. Candidates are given a data analysis case study, business case study,
and live coding exercise to assess competency. Candidates may be asked to
complete one on one interviews with team members focused on statistical
knowledge, quantitative problem-solving, and technical fluency. Candidates are
then invited to give a 30-minute presentation on a topic of their choice.
Candidate presentations are evaluated on creativity, communication skills,
problem-solving depth, and passion for quantitative analysis. These steps
ensure that candidates not only meet technical qualifications but also
demonstrate applied business judgment, coding fluency, and collaborative skills
in a team setting.
Standard benefits include medical and dental insurance;
and paid vacation/sick leave.